Go to the content. | Move to the navigation | Go to the site search | Go to the menu | Contacts | Accessibility

| Create Account

Baruffaldi, Giulia (2019) Sustainable Operations Management for Perishable Products along Global Supply Chains. [Ph.D. thesis]

Full text disponibile come:

[img]PDF Document (Tesi di dottorato) - Submitted Version
Thesis not accessible until 01 December 2021 for intellectual property related reasons.
Visibile to: nobody

9Mb

Abstract (italian or english)

In the last years, together with the proliferation of quality and safety standards, the global trade of perishable products has dealt with the increasing concern of costumers on credence attributes (e.g. quality, safety, sustainability, fair trade, etc.). Consequently, supply chain actors claim for a higher compliance with such standards, as well as, for a major information disclosure on the products’ journey. From their side, researchers are called to develop sustainable solutions to handle products perishability, in order to support managers during the daily operations. Quality and safety of perishable products are affected both by the logistics operations and by the environmental conditions experienced along the supply chain. Due to the seasonality in the weather conditions, the realization of effective temperature-controlled storage and distribution operations is the most important driver to control the quality degradation and the safety decay of perishable products. However, the realization of cold chains is highly energy-intensive, negatively affecting the environmental impact of perishable products supply chains (PPSC). The new advance in IT and in traceability systems represent an opportunity for companies to implement effective cold chains, while addressing to the customer’s demand for transparency. However, although the recognized importance of information sharing for the supply chain coordination and integration, the openness toward always more global markets and the distrust of companies to share strategic information limit the collaboration among supply chain actors. Moreover, always more often companies decide to entrust the transportation and storage processes to 3PL providers, which deal with several clients and a high variety of products.
Aim of this dissertation is proposing innovative methods, models and tools aided to improve the overall performance along the supply chains for perishables products. Beyond the efficiency of the supply chain operations, the definition of ‘performance’ assumes other three dimensions: quality, safety and sustainability. The research elaborates on two research questions that narrow down the set of potential approaches to the problem to the improvement of the overall performance of perishable products distribution network and of storage operations. The research activity is developed according to a research framework, where the research questions are addressed by research levers, that are explored according to research topics. Each topic requires a specific methodology, however the overarching methodological approach presented in this dissertation includes four fundamental aspects: the minimization of the level of approximation of data in input, the use of case-study deriving from real-world instances, the use of simulation to study complex systems through their model and the role of data visualization.
Initially, this dissertation depicts the state-of-the-art of the current industrial practice in PPSC and identifies the main research trends over the last decade. The following two chapters illustrate the research activity. The first focus on the development of logistics solutions for the management of the flows of goods among the supply chain actors, and the second narrow down the research focus to the warehousing systems located within PPSC and particularly to the warehouse operations. The explored research topics lead to theoretical, methodological and practical contributions.

Abstract (a different language)

Negli ultimi anni, insieme alla diffusione di leggi e standard a tutela della qualità e sicurezza dei prodotti deperibili, il mercato si è confrontato con il crescente interessamento dei consumatori verso quelle caratteristiche dei prodotti come qualità, sicurezza e sostenibilità ambientale. Di conseguenza, mentre i diversi attori della filiera richiedono sempre maggiore visibilità sul viaggio dei prodotti, i ricercatori sono chiamati a sviluppare soluzioni logistiche per supportare i manager durante le attività giornaliere. La qualità e la sicurezza dei prodotti deperibili sono impattate sia dalle attività logistiche che dalle condizioni ambientali subite durante lo stoccaggio e il trasporto. L’implementazione della cold chain è il maggiore driver per tutelare tali aspetti, tuttavia la sua realizzazione è altamente impattante sia dal punto di vista energetico che ambientale. Le nuove tecnologie a supporto della tracciabilità rappresentano un’opportunità per le aziende al fine di implementare cold chain efficienti e allo stesso tempo rispondere alla maggiore domanda di informazioni da parte dei consumatori. Tuttavia, anche se la condivisione di informazioni tra gli attori supporta il raggiungimento di una maggiore integrazione e coordinamento nella filiera, l’apertura verso mercati sempre più globali e la diffidenza delle aziende a condividere informazioni strategiche con potenziali competitors, ostacola il flusso informativo lungo la supply chain. Inoltre, sempre più spesso le aziende scelgono di focalizzarsi sul loro core business e di affidare il trasporto e lo stoccaggio di prodotti ad aziende 3PL, che si trovano quindi a dover gestire numerosi clienti e una grande varietà di prodotti.
Obiettivo di questa tesi è proporre modelli, metodi e strumenti innovativi per migliorare le performance lungo le filiere di prodotti deperibili. In aggiunta ad una maggiore efficienza, in questa tesi la definizione di ‘performance’ assume altre tre dimensioni: qualità, sicurezza e sostenibilità ambientale. La ricerca presentata risponde a due principali research questions che focalizzano l’attenzione sul miglioramento delle performance agendo sul trasporto e sullo stoccaggio. Per rispondere a tali domande, la ricerca presentata approfondisce alcuni argomenti, esplorati rispetto ad alcune leve. Il quadro metodologico utilizzato in questa tesi include quattro principali aspetti: la riduzione del livello di approssimazione dei dati, l’utilizzo di casi di studio forniti da aziende, l’uso della simulazione per studiare sistemi complessi attraverso i loro modelli, ed infine, il ruolo chiave della visualizzazione dei dati e dei risultati.
All’inizio, la tesi dipinge lo stato dell’arte della pratica industriale corrente nell’ambito delle filiere di prodotti deperibili e identifica i principali trend nella ricerca lungo l’ultimo decennio. I successivi due capitoli illustrano l’attività di ricerca svolta. Il primo si focalizza su soluzioni logistiche per la gestione dei flussi di merce tra gli attori della filiera e il secondo si concentra sullo stoccaggio e in particolare sulle operations all’interno dei magazzini. I risultati ottenuti portano contributi alla ricerca, alla metodologia e supportano le aziende a livello tattico e strategico.

EPrint type:Ph.D. thesis
Tutor:Accorsi, Riccardo
Ph.D. course:Ciclo 31 > Corsi 31 > INGEGNERIA MECCATRONICA E DELL'INNOVAZIONE MECCANICA DEL PRODOTTO
Data di deposito della tesi:03 April 2019
Anno di Pubblicazione:03 March 2019
Key Words:perishable products, supply chain, global supply chain, performance
Settori scientifico-disciplinari MIUR:Area 09 - Ingegneria industriale e dell'informazione > ING-IND/17 Impianti industriali meccanici
Struttura di riferimento:Dipartimenti > Dipartimento di Tecnica e Gestione dei Sistemi Industriali
Codice ID:11872
Depositato il:08 Nov 2019 13:01
Simple Metadata
Full Metadata
EndNote Format

Bibliografia

I riferimenti della bibliografia possono essere cercati con Cerca la citazione di AIRE, copiando il titolo dell'articolo (o del libro) e la rivista (se presente) nei campi appositi di "Cerca la Citazione di AIRE".
Le url contenute in alcuni riferimenti sono raggiungibili cliccando sul link alla fine della citazione (Vai!) e tramite Google (Ricerca con Google). Il risultato dipende dalla formattazione della citazione.

Abeyratne, S.A., Monfared, R.P. (2016). Blockchain ready manufacturing supply chain using distributed ledger, International Journal of Research in Engineering and Technology, 5 (9),0–10. Cerca con Google

Accorsi R., Ferrari, E., Gamberi, M., Manzini, R., Regattieri, A. (2016). A closed-loop traceability system to improve logistics decisions in food supply chains. A case study on dairy products, Advances in Food Traceability Techniques and Technologies: Improving Quality Throughout the Food Chain, Edited by Montserrat Espiñeira, M., and Santaclara, F.J., Woodhead Publishing, Elsevier. 337 – 351. Cerca con Google

Accorsi, R., Baruffaldi, G., and Manzini, R. (2018). Picking efficiency and stock safety: A bi-objective storage assignment policy for temperature-sensitive products. Computers and Industrial Engineering, 115, 240–252. Cerca con Google

Accorsi, R., Baruffaldi, G., Manzini, R., Tufano, A. (2018a). On the design of cooperative vendors’ networks in retail food supply chains: a logistics-driven approach, International Journal of Logistics Research and Applications, 21(1), 35-52. Cerca con Google

Accorsi, R., Cholette, S., Manzini, R., Pini, C., Penazzi, S. (2016). The land-network problem: Ecosystem carbon balance in planning sustainable agro-food supply chains, Journal of Cleaner Production, 112, 158–171. Cerca con Google

Accorsi, R., Cholette, S., Manzini, R., Tufano, A. (2018b). A hierarchical data architecture for sustainable food supply chain management and planning, Journal of Cleaner Production, 203, 1039-1054. Cerca con Google

Accorsi, R., Gallo, A., and Manzini, R. (2017). A climate driven decision-support model for the distribution of perishable products. Journal of Cleaner Production, 165, 917–929. Cerca con Google

Accorsi, R., Manzini, R. and Maranesi, F. (2014). A decision-support system for the design and management of warehousing systems”, Computers in Industry, 65, 175–186. Cerca con Google

Accorsi, R., Manzini, R., Bortolini, M. (2012). A hierarchical procedure for storage allocation and assignment within an order-picking system. A case study, International Journal of Logistics: Research and Applications, 15(6), 351–364. Cerca con Google

Accorsi, R., Manzini, R., Bortolini, M., Gamberi, M., Pareschi, A., (2011). Allocation problem and storage assignment in a fast pick area of an order picking system. Proceeding of the 21st International Conference of Production Research, Stuttgart, Germany, July 2011. ISBN: 978-3-8396-0293-5. Cerca con Google

Afzal, W., Roland, D., Al-Squri, M. N. (2009). Information asymmetry and product valuation: an exploratory study, Journal of Information Science, 35(2), 192–203. Cerca con Google

Agustina, D., Lee, C.K.M., Piplani, R. (2014). Vehicle scheduling and routing at a cross docking center for food supply chains, International Journal of Production Economics, 152, 29-41. Cerca con Google

Akerlof, G.A. (1970). The market for `lemons’: quality uncertainty and the market mechanism, The Quarterly Journal of Economics , 84, 488–500. Cerca con Google

Akkerman, R., Farahani, P., Grunow, M. (2010). Quality, safety and sustainability in food distribution: A review of quantitative operations management approaches and challenges, OR Spectrum, 32(4), 863–904. Cerca con Google

Aktas, E., Ulengin, F. (2016). Penalty and reward contracts between a manufacturer and its logistics service provider, Logistics Research, 9(8). Cerca con Google

Amorim, P., Antunes, C. H., Almada-Lobo, B. (2011). Multi-Objective Lot-Sizing and Scheduling Dealing with Perishability Issues, Industrial & Engineering Chemistry Research, 50, 3371–3381. Cerca con Google

Amorim, P., Meyr, H., Almeder, C., Almada-Lobo, B. (2013). Managing perishability in production-distribution planning : a discussion and review, Flexible Services & Manufacturing, 25, 389–413. Cerca con Google

Arabani, A.B., Farahani, R. Z. (2012). Facility location dynamics: An overview of classifications and applications, Computer and Industrial Engineering, 62, 408-420. Cerca con Google

Armstrong, M., Chihata, B., MacDonald, R. (2009). Cold weather destratification energy savings of a warehousing facility, ASHRAE Trans., 115 PART 2, 513–518. Cerca con Google

Arnäs, P.O., Holmström, J., and Kalantari, J. (2013) In-transit services and hybrid shipment control: The use of smart goods in transportation networks, Transportation Research Part C: Emerging Technologies, 36, 231–244. Cerca con Google

Aynsley R. (2005). Saving heating costs in warehouses, ASHRAE Journal, 47(12), 46-51. Cerca con Google

Azzi, A., Battini D., Faccio, M., Persona, A., Sgarbossa, F. (2014). Inventory holding costs measurement: a multi-case study, The International Journal of Logistics Management, 25(1), 109–132. Cerca con Google

Badzar, A. (2016). Blockchain for securing sustainable transport contracts and supply chain transparency, Doctoral Thesis available at: http://lup.lub.lu.se/student-papers/record/8880383. Vai! Cerca con Google

Bakker, M., Riezebos, J., Teunter, R. H. (2012). Review of inventory systems with deterioration since 2001, European Journal of Operation Research, 221, 275–284. Cerca con Google

Ballou, R.H. (2006). Revenue estimation for logistics customer service offerings, The International Journal of Logistics Management, 17(1), 21–37. Cerca con Google

Bartholdi III, J.J., Hackman, ST. (2013). Warehouse and distribution science. http://www2.isye.gatech.edu/people/faculty/John_Bartholdi/wh/book/editions/histor- y.html Vai! Cerca con Google

Bartolacci, M.R., LeBlanc, L., Kayikci, Y., Grossman, T. (2012). Optimization modelling for logistics: Options and implementations, Journal of Business Logistics, 33(2), 118-127. Cerca con Google

Baruffaldi, G., Accorsi, R., Manzini, R. (2018). Warehouse management system customization and information availability in 3pl companies: A decision-support tool, Industrial Management & Data Systems, https://doi.org/10.1108/IMDS-01-2018-0033 Vai! Cerca con Google

Bernués, A., Olaizola, A., Corcoran, K., (2003). Extrinsic attributes of red meat as indicators of quality in Europe: An application for market segmentation, Food Quality and Preference, 14, 265–276. Cerca con Google

Bo, E., Hammervoll, T. (2010). Cost-based pricing of transportation services in a wholesaler-carrier relationship: an MS Excel spreadsheet decision tool. International Journal of Logistics: Research and Application, 13 (3), 197-210. Cerca con Google

Bosona, T., Gebresenbet, G. (2011). Cluster building and logistics network integration of local food supply chain, Biosystems Engineering, 108, 293-302. Cerca con Google

Bosona, T., Gebresenbet, G., Nordmark, I., Ljungberg, D. (2011). Integrated logistics network for supply chain of locally produced food, Part I: Location and route optimization analyses, Journal of Service Science and Management, v 4, p 174-183. Cerca con Google

Bouzinaoui, A., Vallette, P., Lemoine, F., Raymond, J. (2005). Experimental study of thermal stratification in ventilated confined spaces, International Journal of Heat and Mass Transfer, 48, 4121–4131. Cerca con Google

Boyer, K.K., Prud’homme, A.M., Chung, W. (2009). The last mile challenge: evaluating the effects of customer density and delivery windows patterns, Journal of Business Logistics, 30 (1),185-201. Cerca con Google

Brennan, C., Lunn, W. (2016). Blockchain: The Trust Disrupter. Credit Suisse, Available at: https://www.finextra.com/finextra-downloads/newsdocs/document-1063851711.pdf (Accessed February 5, 2017). Vai! Cerca con Google

Brinks, P., Kornadt, O., Oly, R. (2015). Air infiltration assessment for industrial buildings, Energy and Buildings, 86, 663–676. Cerca con Google

Broekmeulen R. (1998). Operations management of distribution centers for vegetables and fruits, International Transaction in Operation Research, 5(6), 501–508. Cerca con Google

Brofman Epelbaum, F. M., Martinez, M. G. (2014). The technological evolution of food traceability systems and their impact on firm sustainable performance: A RBV approach, International Journal of Production Economics, 150, 215–224. Cerca con Google

Burgess, K., Singh, P. J., Koroglu, R. (2006). Supply chain management: a structured literature review and implications for future research, International Journal of Operations & Production Management, 26(7), 703–729. Cerca con Google

Buterin, V. (2015). On Public and Private Blockchains. Ethereum Blog. Available at: https://blog.ethereum.org/2015/08/07/on-public-and-private-blockchains/ (Accessed February 2, 2017). Vai! Cerca con Google

Buterin, V. (2016).The difference between a Private, Public and Consortium Blockchain, Blockchain daily news, Available at: http://www.blockchaindailynews.com/The-difference-between-a-Private-Public-Consortium-Blockchain_a24681.html (Accessed February 2, 2017). Vai! Cerca con Google

Byrne, P.J., Heavey, C., (2006). The impact of information sharing and forecasting in capacitated industrial supply chains: A case study, International Journal of Production Economics, 103, 420–437. Cerca con Google

Cachon, G.P., Fisher, M., (2000). Supply Chain Inventory Management and the Value of Shared Information, Management Science, 46, 1032–1048. Cerca con Google

Campbell, R. (2016). Modum.io’s Temperature-Tracking Blockchain Solution Wins Accolades at Kickstarter Accelerator 2016. Bitcoin Magazine, Available at: https://bitcoinmagazine.com/articles/modum-io-s-tempurature-tracking-blockchain-solution-wins-accolades-at-kickstarter-accelerator-1479162773/ (Accessed March 1, 2017). Vai! Cerca con Google

Cantor, D.E., Macdonald, J.R. (2009). Decision-making in the supply chain: Examining problem solving approaches and information availability, Journal of Operations Management, 27, 220–232. Cerca con Google

Caputo, M., Mininno, V. (1998). Configurations for logistics co-ordination. A survey of Italian grocery firms, International Journal of Physical Distribution & Logistics Management, 28 (5), 349-376. Cerca con Google

Chan, F.T.S., Chan, H.K. (2011). Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage, Expert Systems With Applications, 38(3), 2686–2700. Cerca con Google

Chan, H.K., Chan, F.T.S. (2010), A review of coordination studies in the context of supply chain dynamics, International Journal of Production Research, 48 (10), 2793–2819. Cerca con Google

Chapman, L. (2007). Transport and climate change: a review, Journal of Transport Geography, 15, 354–367. Cerca con Google

Chen, C.M., Gong, Y., De Koster, R.B. and Van Nunen, J.A.E. (2010), A flexible evaluative framework for order picking systems, Production and Operations Management, 19, 70–82. Cerca con Google

Chen, H.-K., Hsueh, C-F., Chang, M-S., (2009). Production scheduling and vehicle routing with time windows for perishable food products, Computers & Operations Research, 36, 2311-2319. Cerca con Google

Chiang, D.M., Lin, C. and Chen, M. (2011), The adaptive approach for storage assignment by mining data of warehouse management system for distribution centers, Enterprise Information Systems, 5 (2), 219–234. Cerca con Google

Chuang Y.-F., Lee H.-T., Lai Y.-C. (2012). Item-associated cluster assignment model on storage allocation problems, Computers & Industrial Engineering, 63(4), 1171–1177. Cerca con Google

Cimino M.G.C.A., Marcelloni F. (2012) Enabling Traceability in the Wine Supply Chain. In: Anastasi G., Bellini E., Di Nitto E., Ghezzi C., Tanca L., Zimeo E. (eds) Methodologies and Technologies for Networked Enterprises. Lecture Notes in Computer Science, vol 7200. Springer, Berlin, Heidelberg Cerca con Google

Columbus, L. (2017). Gartner’s Hype Cycle for Emerging Technologies, 2017 Adds 5G And Deep Learning For First Time, Forbes, Available at: https://www.forbes.com/sites/louiscolumbus/2017/08/15/gartners-hype-cycle-for-emerging-technologies-2017-adds-5g-and-deep-learning-for-first-time/#5acd319a5043. (Accessed September 2, 2017) Vai! Cerca con Google

Comuzzi, M., Parhizkar, M. (2017). A methodology for enterprise systems post-implementation change Cerca con Google

Cooper, L., (1963). Location–allocation problems, Operations Research, 11, 331–343 Cerca con Google

Coulomb, D. (2008). Refrigeration and the cold chain serving the global food industry and creating a better future: Two key IIR challenges for improving health and environment, Trends in Food Science & Technology, 19, 413–417. Cerca con Google

Council Regulation (EC) No 178/2002, (2002). European Parliament and of the Council of 28 January 2002 Laying Down the General Principles and Requirements of Food Law, Establishing the European Food Safety Authority and Laying Down Procedures in Matters of Food Safety. Official Journal of the European Communities, 1.2.2002, 2001–2024. Cerca con Google

Cruijssen, F., Braysy, O., Dullaert, W., Fleuren, H., Salomon, M. (2007). Joint route planning under varying market conditions, International Journal of Physical Distribution & Logistics Management, 37 (4), 287-304. Cerca con Google

Dallari, F., Marchet, G., Melacini, M. (2008). Design of order picking system, International Journal of Advanced Manufacturing Technology, 42, 1–12. Cerca con Google

Davarzani, H., Norrman, A. (2015). Toward a relevant agenda for warehousing research: literature review and practitioners’ input, Logistics Research, 8(1). Cerca con Google

De Keizer, M., Akkerman, R., Grunow, M., Bloemhof, J. M., Haijema, R., Van Der Vorst, J. G. A. J. (2017). Logistics network design for perishable products with heterogeneous quality decay. European Journal of Operational Research, 262, 535–549. Cerca con Google

De Koster, R.B., Le-Duc, T. and Roodbergen, K.J. (2007), Design and control of warehouse order picking: A literature review, European Journal of Operation Research, 182, 481–501. Cerca con Google

De Meijer, C.R.W. (2016) Blockchain, distributed and shared ledger, permissionless and permissioned: What’s in a name!!, Available at: https://www.linkedin.com/pulse/blockchain-distributed-shared-ledger-permissionless-whats-de-meijer?articleId=6125925523114721280 (Accessed February 5, 2017). Vai! Cerca con Google

Dorigatti, M., Guarnaschelli, A., Chiotti, O. and Salomone, H.E. (2016). A service-oriented framework for agent-based simulations of collaborative supply chains, Computers in Industry, 83, 92–107. Cerca con Google

Dotoli, M., Epicoco, N. Falagario, M., Costantino, N., Turchiano, B. (2015). An integrated approach for warehouse analysis and optimization: A case study, Computers in Industry, 70, 56–69. Cerca con Google

Eglese, R.W., Mercer, A., Sohrabi, B. (2005). The grocery superstore vehicle scheduling problem, Journal of the Operational Research Society, 56 (8), 902-911. Cerca con Google

Ehrenthal, J., Stolzle, W. (2013). An examination of the causes for retail stockouts, International Journal of Physical Distribution & Logistics Management, 43 (1), 54-69. Cerca con Google

Ene, S., Küçükoğlu, I, Aksoy, A., Öztürk, N. (2016). A genetic algorithm for minimizing energy consumption in warehouses, Energy, 114, 973-980. Cerca con Google

European Commission, C 343/1 2013, Guidelines of 5 November 2013 on Good Distribution Practice of medicinal products for human use. Official Journal of the European Union, 23.11.2013, 2001-2024. Cerca con Google

European Commission, C 343/1 2013, Guidelines of 5 November 2013 on Good Distribution Practice of medicinal products for human use. Official Journal of the European Union, pp. 23.11.2013, 2001-2024 Cerca con Google

European Communities, 2002. Regulation of the European Parliament and of the Council of January 28, 2002, Laying Down the General Principles and Requirements of Food Law, Establishing the European Food Safety Authority and Laying Down Procedures in Matters of Food Safety, 178/2002, Official Journal of the European Communities, L 31/1, 1-2-2002. Cerca con Google

Evangelista, P., Mogre, R., Perego, A., Raspagliesi, A. and Sweeney, E. (2012), A survey based analysis of IT adoption and 3PLs’ performance, Supply Chain Management: An International Journal, 17 (2), 172–186. Cerca con Google

Faber, N., De Koster, M.B.M., Smidts, A. (2013). Organizing warehouse management, International Journal of Operations and Production Management, 33(9), 1230–1256. Cerca con Google

Faber, N., De Koster, R.B. (2002). Linking warehouse complexity to warehouse planning and control structure: An exploratory study of the use of warehouse management information systems, International Journal of Physical Distribution & Logistics Management, 32 (5), 381–395. Cerca con Google

Faber, N., De Koster, R.B. and Smidts, A. (2013), Organizing warehouse management, International Journal of Operations & Production Management, 33 (9), 1230–1256. Cerca con Google

Fanfani, R., and Pieri, R. (2015). Il Sistema Agro-Alimentare dell’Emilia Romagna, Osservatorio Agro-Industriale, Unionecamere Emilia Romagna. Cerca con Google

Farahani, R. Z., Hekmatfar, M. (Eds.). (2009). Facility location: Concepts, models, algorithms and case studies. Heidelberg, Germany: Physica Verlag Cerca con Google

Ferguson, M.E., Ketzenberg, M.E. (2006) Information Sharing to Improve Retail Product Freshness of Perishables. Production and Operations Management, 15, 57–73. Cerca con Google

Ferrari, E., Pareschi, A., Persona, A., Regattieri, A. (2003). Plant layout computerised design: Logistics and Relayout Program (LRP), International Journal of Advanced Manufacturing Technology, 21, 917-922. Cerca con Google

Fikiin, K., Stankov, B., Evans, J., Maidment, G., Foster, A., Brown, T., Radcliffe, J., Youbi-Idrissi, M., Alford, A., Varga, L., Alvarez, G., Ivanov, I. E., Bond, C., Colombo, I., Garcia-Naveda, G., Ivanov, I., Hattori, K., Umeki, D., Bojkov, T., Kaloyanov, N. (2017). Refrigerated warehouses as intelligent hubs to integrate renewable energy in industrial food refrigeration and to enhance power grid sustainability, Trends in Food Science and Technology, 60, 96-103. Cerca con Google

Fleisch, E. and Tellkamp, C. (2005), Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain, International Journal of Production Economics, 95 (3), 373–385. Cerca con Google

Flynn, B.B., Huo, B., and Zhao, X. (2010).The impact of supply chain integration on performance: A contingency and configuration approach, Journal of Operations Management, 28 (1), 58–71. Cerca con Google

Fontana, M.E., Alexandre, C., Cavalcante, V. (2014). Using the efficient frontier to obtain the best solution for the storage location assignment problem, Mathematical Problems in Engineering, Volume 2014, Article ID 745196, 10 pages. Cerca con Google

Fritz, M., Schiefer, G. (2009). Tracking, tracing, and business process interests in food commodities: A multi-level decision complexity, International Journal of Production Economics, 117, 317–329 Cerca con Google

Gallmann F, Belvedere V (2011) Linking service level, inventorymanagement and warehousing practices: A case-based managerial analysis. Operations Management Research 4: 28–38 Cerca con Google

Gallo, A., Accorsi, R., Baruffaldi, G., and Manzini, R. (2017). Designing sustainable cold chains for long-range food distribution: Energy-effective corridors on the Silk Road Belt. Sustainability, 9(11), 2044. Cerca con Google

Garfinkel, M. (2005). Minimizing multi-zone orders in the correlated storage assignment Problem, PhD thesis, 2005, Georgia Institute of Technology. Cerca con Google

Garnett, T. (2011). Where are the Best Opportunities for Reducing Greenhouse Gas Emissions in the Food System (Including the Food Chain)?, Food Policy, 36 (Suppl. 1), S23–S32. Cerca con Google

Gevaers, R., van de Voorde, E., Vanelslander, T. (2014). Cost modelling and simulation of last-mile characteristics in an innovative B2C supply chain environment with implications on urban areas and cities. Procedia – Social and Behavioral Sciences, 125, 398-411. Cerca con Google

Giacomarra, M., Galati, A., Crescimanno, M., Tinervia, S. (2016), The integration of quality and safety concerns in the wine industry: the role of third-party voluntary certifications, Journal of Cleaner Production, 112, Part 1, 267-274, Cerca con Google

Giannikas, V., Lu, W., Mcfarlane, D. and Hyde, J. (2013), Product Intelligence in Warehouse Management: A Case Study, In: Mařík V., Lastra J.L.M., Skobelev P. (eds) Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2013, Lecture Notes in Computer Science, vol 8062, Springer, Berlin, Heidelberg. Cerca con Google

Gimenez, C. (2006). Logistics integration processes in the food industry, International Journal of Physical Distribution & Logistics Management, 36(3), 231–249. Cerca con Google

Gimenez, C., (2006). Logistics integration processes in the food industry, International Journal of Physical Distribution & Logistics Management, 36 (3), 231-249. Cerca con Google

Glaser, F. (2017). Pervasive Decentralisation of Digital Infrastructures : A Framework for Blockchain enabled System and Use Case Analysis. Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS 2017), Hawaii, (2017), 1543–1552. Cerca con Google

Goetschalckx, M., (2003). Logistics System Design. Lecture Notes 1994-2003. Georgia Institute of Technology, Atlanta, Georgia. Cerca con Google

Goetschalckx, M., Ratliff, H. D., (1991). Optimal Lane Depths for Single and Multiple Products in Block Stacking Storage System, IIE Transactions, 23 (3), 245-258. Cerca con Google

Govindan, K., Jafarian, A., Khodaverdi, R. and Devika, K. (2014) Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food, International Journal of Production Economics, 152, 9–28. Cerca con Google

Grosse, E.H., Glock, C.H., Jaber, M.Y. (2013). The effect of worker learning and forgetting on storage reassignment decisions in order picking systems, Computers & Industrial Engineering, 66(4), 653–662. Cerca con Google

Grunow, M. and Piramuthu, S. (2013) RFID in highly perishable food supply chains – Remaining shelf life to supplant expiry date?, International Journal of Production Economics, 146(2), 717–727. Cerca con Google

Gu, J., Goetschalckx, M. McGinnis, L.F. (2007). Research on warehouse operation: A comprehensive review, European Journal of Operation Research, 177, 1–21. Cerca con Google

Gwanpua, S.G., Verboven, P., Leducq, D., Brown, T., Verlinden, B.E., Bekele, E., Aregawi, W., Evans, J., Foster, A., Duret, S., et al. The FRISBEE tool, a software for optimising the trade-off between food quality, energy use, and global warming impact of cold chains. Journal of Food Engineering, 148, 2–12. Cerca con Google

Hamdan, A., Rogers, K.J.J. (2008). Evaluating the efficiency of 3PL logistics operations, International Journal of Production Economics, 113, 235–244. Cerca con Google

Hamzheei, M., Farahani, R. Z., Rashidi-Bajgan, H., (2014). An ant colony-based algorithm for finding the shortest bidirectional path for automated guided vehicles in a block layout, International Journal of Advanced Manufacturing Technology, 64, 399-409. Cerca con Google

Harris, D. (2016). WMS feature guide: A comparison of major vendors’ systems contents. Software Advice. Available at: http://www.softwareadvice.com/resources/scm-compare-wms-features/. Vai! Cerca con Google

Haskett, J.L. (1963). Cube-per-order index – A key to warehouse stock location, Transportation and Distribution Management, 3, 27–31. Cerca con Google

Hertog, M. L. A. T. M., Uysal, I., Verlinden, B. M., & Nicolaï, B. M. (2014). Shelf life modelling for first-expired-first-out warehouse management. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 372(20130306). Cerca con Google

Hiassata, A., Diabatb, A., Rahwanca, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products, Journal of Manufacturing Systems, 42, 93–103. Cerca con Google

Ho, S. H., Rosario, L., & Rahman, M. M. (2010). Numerical simulation of temperature and velocity in a refrigerated warehouse, International Journal of Refrigeration, 33, 1015–1025. Cerca con Google

Hobbs, E. J. (2006). Liability and traceability in agri-food supply chains. In C. J. M. Ondersteijn, J. H. M. Wijnands, R. B. M. Huirne, & O. Van Kooten (Vol. Eds.), Quantifying the agri-food supply chain: Vol. 7, (pp. 85–100). Berlin: Springer. Cerca con Google

Hofmann, E., Strewe, U.M., and Bosia, N. Supply Chain Finance and Blockchain Technology -The Case of Reverse Securitisation. Springer International Publishing, 2018. Cerca con Google

Holmberg, S., 82000). A systems perspective on supply chain measurements, International Journal of Physical Distribution & Logistics Management, 30, 847–868. Cerca con Google

Horta M., Coelho F., Relvas S. (2016). Layout design modelling for a real world just-in-time warehouse, Computers & Industrial Engineering, 101, 1–9. Cerca con Google

Housseman, S., Absi, N., Feillet, D., Dauzère-Pérès, S.(2009). Impacts of Radioidentification on cyro-conservation centers through simulation. Proceedings of the 2009 Winter Simulation Conference. 2009: 2065–2077. Cerca con Google

Hsu, C.-I., Hung, S.-F., Li, H.-C., (2007). Vehicle routing problem with time-windows for perishable food delivery, Journal of Food Engineering, 80, 465-475. Cerca con Google

Hsueh, C.F., Chang, M.S. (2010). A Model for Intelligent Transportation of Perishable Products, International Journal of Intelligent Transportation Systems Research, 8(36). Cerca con Google

Huckle, S., Bhattacharya, R., White, M., and Beloff, N. (2016).Internet of Things, Blockchain and Shared Economy Applications, Procedia Computer Science, 98, 461–466. Cerca con Google

Hui, Y.Y.Y., Choy, K.L., Ho, G.T.S., Lam, C.H.Y., Lee, C.K.H., Cheng, S.W.Y. (2015). An intelligent fuzzy-based storage assignment system for packaged food warehousing, 2015 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, 2015, pp. 1869-1878. Cerca con Google

Hull, R., Batra, V.S., Chen, Y.-M., Deutsch, A., Heath III, F.F.T., and Vianu, V. (2016). Towards a Shared Ledger Business Collaboration Language Based on Data-Aware Processes. Service-Oriented Computing: 14th International Conference, ICSOC 2016, Banff, AB, Canada, October 10-13, 2016, Proceedings, (2016), 6–19. Cerca con Google

Huo, B., Zhao, X., Zhou, H., (2014). The effects of competitive environment on supply chain information sharing and performance: An empirical study in China, Production and Operations Management, 23, 552–569. Cerca con Google

IBMa. Walmart, IBM and Tsinghua University Explore the Use of Blockchain to Help Bring Safer Food to Dinner Tables Across China. IBM News room, 2016. https://www-03.ibm.com/press/us/en/pressrelease/50816.wss (Accessed February 6, 2017). Vai! Cerca con Google

IIR (2015). The Role of Refrigeration in the Global Economy. 29th Informatory Note on Refrigeration Technologies. Paris, France: International Institute of Refrigeration. Cerca con Google

IIR (International Institute of Refrigeration), (2009). The role of refrigeration on worldwide nutrition-5th Informatory note on Refrigeration and Food. Cerca con Google

Intesa Sanpaolo (2016). Il Settore Agro-Alimentare in Italia E in Emilia Romagna : Sfide E Opportunità. Cerca con Google

ISTAT, (2010). Censimento Agricoltura 2010. Available at: http://dati-censimentoagricoltura.istat.it/Index.aspx, Accessed: March 20, 2018 Vai! Cerca con Google

James, S. J., James, C., and Evans, J. A. (2006). Modelling of Food Transportation Systems - a Review. International Journal of Refrigeration, 29 (6), 947–957. Cerca con Google

James, S.J., James, C. (2012). The food cold-chain and climate change, Food Research International, 43, 1944–1956. Cerca con Google

Jing, W., Zhongqin, M., (2016). Selection Of Multi-Distribution Center Location Based On Low Carbon, Revista de la Facultad de Ingeniería U.C.V., 31 (7), 11-22. Cerca con Google

Jones, P., Comfort, D., Hillier, D. (2008). Moving towards sustainable food retailing? International Journal of Retail & Distribution Management, 36 (12), 995-1001. Cerca con Google

Juga, J., Pekkarinen, S., Kilpala, H. (2008). Strategic positioning of logistics service providers, International Journal of Logistics: Research and Application, 11 (6), 443-455. Cerca con Google

Kari, J.S., Finne, T.M. (2012). How logistics-service providers can develop value-added services for SMEs: a dyadic perspective, The International Journal of Logistics Management, 23(1), 31 – 49. Cerca con Google

Kay, G. M., (2009). Lecture Notes for Production System Design. Department of Industrial and Systems Engineering, North Carolina State University. Cerca con Google

Kearns, G.S. and Lederer, A.L. (2003), A resource-based view of strategic IT alignment: how knowledge sharing creates competitive advantage, Decision Sciences, 34 (1), 1–30. Cerca con Google

Keebler, J.S., Plank, R.E. (2009). Logistics performance measurement in the supply chain: a benchmark, Benchmarking: An International Journal, 16(6), 785 – 798. Cerca con Google

Kembro, J., Selviaridis, K., Näslund, D. (2014). Theoretical Perspectives on Information Sharing in Supply Chains: A Systematic Literature Review and Conceptual Framework, Supply Chain Management: An International Journal, 19 (5/6), 609–625. Cerca con Google

Khalili-Damghani, K., Tavana, M., Sadi-Nezhad, S. (2012), An integrated multi-objective framework for solving multi-period project selection problems, Applied Mathematics and Computation, 219, 3122–3138. Cerca con Google

Kim, B.S., Smith, J.S. (2012). Slotting methodology using correlated improvement for a zone-based carton picking distribution system, Computers & Industrial Engineering,62, 286–295. Cerca con Google

Kind, D. A., (1975). Elements of Space Utilization, Transportation and Distribution Management, 15 (1), 29-34. Cerca con Google

Klass-Wissing, T., Albers, S. (2010). Cooperative versus corporate governance of LTL networks. International Journal of Logistics: Research and Application, 13 (6), 493-506. Cerca con Google

Kofler, M. (2010). Reassigning Storage Locations in a Warehouse to Optimize the Order Picking Process, EMSS 2010-22th European Modeling and Simulation Symposium, 77-82 Cerca con Google

Kofler, M., Beham, A., Wagner, S., Affenzeller, M., Achleitner, W. (2011). Re-warehousing vs. healing: Strategies for warehouse storage location assignment. Proceedings of LINDI 2011 - 3rd IEEE International Symposium on Logistics and Industrial Informatics, 77–82. Cerca con Google

Korpela, K., Hallikas, J., and Dahlberg, T., J. (2017). Digital Supply Chain Transformation toward Blockchain Integration. Proceedings of the 50th Hawaii International Conference on System Sciences (HICCS), Hawaii, (2017), 4182–4191. Cerca con Google

Kotsanopoulos, K.V., Arvanitoyannis, I.S., (2017). The Role of Auditing, Food Safety, and Food Quality Standards in the Food Industry: A Review, Comprehensive Reviews in Food Science and Food Safety, 16(5), 760-775. Cerca con Google

Kumar, S., (2008). A study of the supermarket industry and its growing logistics capabilities, International Journal of Retail & Distribution Management, 36 (3), 192-211. Cerca con Google

Kwon, T.H., Zmud, R.W. (1987), Unifying the fragmented models of information systems implementation. In: Boland, R.J., Hirschheim, R.A. (Eds.), In Critical Issues in Information Systems Research. John Wiley, New York, 247– 252. Cerca con Google

Lam, H.Y., Choy, K.L., Ho, G.T.S., Cheng, S.W.Y., Lee, C.K.M. (2015). A knowledge-based logistics operations planning system for mitigating risk in warehouse order fulfillment, International Journal of Production Economics, 170, 763–779. Cerca con Google

Lambert, D.M., Stock, J.R., Ellram, L.M. (Eds.), (1998). Fundamentals of Logistics Management. McGraw-Hill, Singapore. Cerca con Google

Lamport, L., Shostak, R.,Pease, M.(1989). The Byzantine generals problem. ACM Transactions on Programming Languages and Systems (TOPLAS) 4.3, 382–401. Cerca con Google

Landers, T.L., Beavers, M.K., Stuart, D.E. (1994). Software for dynamic re-configurable order picking systems. Computers & Industrial Engineering, 27, 245–248. Cerca con Google

Langley J., (2015) Third-party logistics study. Results and findings of the 19th annual study, Capgemini, available at: https://www.fr.capgemini-consulting.com/resource-file-access/resource/pdf/2015_3pl_study.pdf. (accessed 15 gennaio 2017) Vai! Cerca con Google

Large, R.O., Kramer, N., Hartmann, R.K. (2011), Customer‐specific adaptation by providers and their perception of 3PL‐relationship success, International Journal of Physical Distribution & Logistics Management, 41(9), 822-838. Cerca con Google

Lee, H.L., Padmanahan, V., Whang, S. (1997), Information distortion in a supply chain: the bullwhip effect, Management Science, 43 (4), 546–559. Cerca con Google

Li, G. (2017). Comprehensive investigation of transport refrigeration life cycle climate performance, Sustainable Energy Technologies and Assessments, 21, 33-49. Cerca con Google

Li, S., and Lin, B.. (2006). Accessing Information Sharing and Information Quality in Supply Chain Management, Decision Support Systems, 42 (3), 1641–1656. Cerca con Google

Li, S., Ragu-Nathan, B., Ragu-Nathan, T.S., Subba Rao, S., (2006). The impact of supply chain management practices on competitive advantage and organizational performance, Omega, 34, 107–124. Cerca con Google

Limoubpratum, C., Shee, H., Ahsan, K. (2015). Sustainable distribution through coopetition strategy, International Journal of Logistics: Research and Application, 18 (5), 424-441. Cerca con Google

Liu, X., Çetinkaya, S., (2008). Designing supply contracts in supplier vs buyer-driven channels: The impact of leadership, contract flexibility and information asymmetry, IIE Transactions, 41, 687-701. Cerca con Google

Lu, W., Giannikas, V., McFarlane, D. and Hyde, J. (2013), The role of distributed intelligence in warehouse management systems. In: Borangiu T., Trentesaux D., Thomas A. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics. Studies in Computational Intelligence, vol 544. Springer, Cham (2013). Cerca con Google

Lyu, J., Ding, J.-H., Chen, P.-S. (2010). Coordinating replenishment mechanisms in supply chain: From the collaborative supplier and store-level retailer perspective, International Journal of Production Economics, 123, 221–234. Cerca con Google

Mandal, P. and Bagchi, K. (2016), Strategic role of information, knowledge and technology in manufacturing industry performance, Industrial Management & Data Systems, 116 (6), 1259-1278 Cerca con Google

Manzini R, Accorsi R, Gamberi M, Penazzi S (2015). Modeling class-based storage assignment over life cycle picking patterns, International Journal of Production Economics, 170, 1–11. Cerca con Google

Manzini, R., Accorsi, A., Pattitoni, L., Regattieri, A. (2011). A Supporting Decisions Platform for the Design and Optimization of a Storage Industrial System. Efficient Decision Support Systems: Practice and Challenges – From Current to Future / Book 2, Cured by Prof. Chiang Jao, 437–458. ISBN: 978-953-307-441-2. RIJEKA: InTech - Publisher. Cerca con Google

Manzini, R., Accorsi, R. (2013). The new conceptual framework for food supply chain assessment, Journal of Food Engineering, 115(2), 251-263. Cerca con Google

Manzini, R., Accorsi, R., Baruffaldi, G., Cennerazzo, T., Gamberi, M., (2016). Travel time models for deep-lane unit-load autonomous vehicle storage and retrieval system (AVS/RS), International Journal of Production Research, 54 (14), 4286-4304. Cerca con Google

Manzini, R., Accorsi, R., Piana, F., and Regattieri, A. (2017). Accelerated life testing for packaging decisions in the edible oils distribution. Food Packaging and Shelf Life, 12, 114–127. Cerca con Google

Manzini, R., Accorsi, R., Ziad, A., Bendini, A., Bortolini, M., Gamberi, M., Valli, E., Gallina Toschi, T. (2014). Sustainability and quality in the food supply chain. A case study of shipment of edible oils. British Food Journal, 116 (12). Cerca con Google

Manzini, R., Ferrari, E., Gamberi, M., Persona, A. and Regattieri, A. (2005), Simulation performance in the optimization of the supply chain, Journal of Manufacturing Technology Management, 16(2), 127–144. Cerca con Google

Marshall, D., McCarthy, L., McGrath, P., and Harrigan, F. What’s Your Strategy for Supply Chain Disclosure?, MIT Sloan Management Review, 57 (2), 37–45. Cerca con Google

Masoumi, A. H., Yu, M. and Nagurney, A. (2012). A supply chain generalized network oligopoly model for pharmaceuticals under brand differentiation and perishability, Transportation Research Part E: Logistics and Transportation Review, 48(4), 762–780. Cerca con Google

Mattila, J., Seppala, T., Holmstrom, J. (2016). Product-centric Information Management: A Case Study of a Shared Platform with Blockchain Technology, Industry Studies Association Conference (ISA2016), (2016), 0–144. Cerca con Google

Mattsson, S-A. (2010). Inventory control in environments with seasonal demand, Operations Management Research, 3, 138–145. Cerca con Google

Mavrotas, G. (2009). Effective implementation of the ε-constraint method for multi-objective mathematical linear programming problems, Applied Mathematics and Computation, 213(2), 455–465. Cerca con Google

Mazzeo, D., Oliveti, G., Arcuri, N. (2017). A Method for Thermal Dimensioning and for Energy Behavior Evaluation of a Building Envelope PCM Layer by Using the Characteristic Days. Energies, 10. Cerca con Google

McFarlane, D., Giannikas, V., Wong, A.C., Harrison, M. (2013), Product intelligence in industrial control: Theory and practice, Annual Reviews in Control, 37 (1), 69–88. Cerca con Google

Mckinnon, A., Cullinane, S., Browne, M., Whiteing, A. (2010), GREEN LOGISTICS Improving the environmental sustainability of logistics. Kogan Page Limited, UK Cerca con Google

McKinsey&Company (2016). Blockchain in insurance – opportunity or threat? Available at: http://www.mckinsey.com/industries/financial-services/our-insights/blockchain-in-insurance-opportunity-or-threat (Accessed February 2, 2017). Vai! Cerca con Google

Meneghetti, A., and L. Monti. (2015). Greening the Food Supply Chain: An Optimisation Model for Sustainable Design of Refrigerated AutomatedWarehouses, International Journal of Production Research, 53 (21), 6567–6587. Cerca con Google

Meyer, G.G., Främling, K. and Holmström, J. J. (2009), Intelligent Products: A survey, Computers in Industry, 60, 137–148. Cerca con Google

Min, H., Melanchrinoudis, E. (2016). A model-based decision support system for solving vehicle routing and driver scheduling problems under hours of service regulations, International Journal of Logistics: Research and Application, 19 (4), 256-277. Cerca con Google

Moberg, C.R., Cutler, B.D., Gross, A., Speh, T.W., (2002). Identifying antecedents of information exchange within supply chains, International Journal of Physical Distribution & Logistics Management, 32, 755–770. Cerca con Google

Moe, T. (1998). Perspectives on traceability in food manufacture, Trends in Food Science & Technology, 9, 5, 211–214. Cerca con Google

Moody’s Investors Service (2016). Robust, Cost-effective Applications Key to Unlocking Blockchain’s Potential Credit Benefits, Available at: https://www.scribd.com/document/319012770/Robust-Cost-effective-Applications-Key-to-Unlocking-Blockchain-s-Potential-Credit-Benefits (Accessed February 15, 2017). Vai! Cerca con Google

Morgan, N. A., Kaleka, A., Gooner, R.A. (2007). Focal supplier opportunism in supermarket retailer category management, Journal of Operations Management, 25, 512–527. Cerca con Google

Nakamoto, S. Bitcoin: A Peer-to-Peer Electronic Cash System, 2008. Available at: https://bitcoin.org/bitcoin.pdf. (Accessed at: January 20, 2017). Vai! Cerca con Google

Ndraha, N., Hsiao, H-I., Vlajic, J., Yang, M-F., Lin, H-T. V. (2008), Time-temperature abuse in the food cold chain: Review of issues, challenges, and recommendations, Food Control, 89, 12-21. Cerca con Google

Nicholson, C., Young, B. (2012). The relationship between supermarkets and suppliers: What are the implications for consumers? Consumer International, 2012. Cerca con Google

Nilsson, F., Darley, V. (2006). On complex adaptive systems and agent-based modelling for improving decision-making in manufacturing and logistics settings: Experiences from a packaging company, International Journal of Operations & Production Management, 26(12), 1351 – 1373. Cerca con Google

O’Connell, J. (2016). What Are the Use Cases for Private Blockchains? The Experts Weigh In, Bitcoin Magazine, Available at: https://bitcoinmagazine.com/articles/what-are-the-use-cases-for-private-blockchains-the-experts-weigh-in-1466440884/ (Accessed February 6, 2017). Vai! Cerca con Google

Osvald, A., Stirn, L.Z., (2008). A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food, Journal of Food Engineering, 85, 285-295. Cerca con Google

Owen, S. H., Daskin, M. S. (1998). Strategic facility location: A review, European Journal of Operational Research, 111, 423–447. Cerca con Google

Papert, M., Rimpler, P., Pflaum, A. (2016). Enhancing supply chain visibility in a pharmaceutical supply chain: Solutions based on automatic identification technology. International Journal of Physical Distribution & Logistics Management, 46(9), 859–884. Cerca con Google

Park, C.E., Kim, Y.S., Park, K.J., Kim, B.K. (2012). Changes in physicochemical characteristics of rice during storage at different temperatures, Journal of Stored Product Research, 48, 25–29. Cerca con Google

Patterson, K. a., Grimm, C.M., Corsi, T.M., (2003). Adopting new technologies for supply chain management, Transportation Research, 39, 95–121. Cerca con Google

Penazzi, S., Accorsi, R., Ferrari, E., Manzini, R., and Dunstall, S. (2017). Design and control of food job-shop processing systems: A simulation analysis in the catering industry, International Journal of Logistics Management, 28(3), 782–797. Cerca con Google

Peters, G.W., Panayi, E., and Chapelle, A. (2015). Trends in crypto-currencies and blockchain technologies: A monetary theory and regulation perspective, Journal of Financial Perspectives 3 (3), 92–133. Cerca con Google

Petersen, C.G. and Aase, G. (2004), A comparison of picking, storage, and routing policies in manual order picking, International Journal of Production Economics, 92, 11–19. Cerca con Google

Piramuthu, S., Farahani, P. and Grunow, M. (2013). RFID-generated traceability for contaminated product recall in perishable food supply networks, European Journal of Operational Research, Elsevier B.V., 225(2), pp. 253–262. Cerca con Google

Piscini, E. (2017). Why 2017 is Blockchain’s Make or Break Year, Coin Desk, Available at: http://www.coindesk.com/why-2017-is-blockchains-make-or-break-year/(Accessed February 2, 2017). Vai! Cerca con Google

Popper, N., Lohr, S.(2017). Blockchain: A Better Way to Track Pork Chops, Bonds, Bad Peanut Butter?, New York Times, Available at:. https://www.nytimes.com/2017/03/04/business/dealbook/blockchain-ibm-bitcoin.html?_r=1. Vai! Cerca con Google

Porras-Amores, C., Mazarrón, F., Cañas, I. (2014). Study of the Vertical Distribution of Air Temperature in Warehouses, Energies, 7(3), 1193–1206. Cerca con Google

Power, D.J., Sharda, R. (2007), Model-driven decision support systems: Concepts and research directions, Decision Support Systems, 43 (3), 1044–1061. Cerca con Google

Pramatari, K., Doukidis, G., (2007). New forms of collaboration & information sharing in grocery retailing: The PCSO pilot at veropoulos, Journal of Cases on Information Technology, 7 (4), 63-78. Cerca con Google

PVGIS, (2018). Photovoltaic Geographical Information System (PVGIS). Accessible at: http://re.jrc.ec.europa.eu/pvgis/ Vai! Cerca con Google

Rai, A., Tassou, S.A. (2007). Energy demand and environmental impacts of alternative food transport refrigeration systems. Energy Procedia, 123, 113-120. Cerca con Google

Ramaa, A., Subramanya, K.N., Rangaswamy, T.M. (2012), Impact of warehouse management system in a supply chain, International Journal of Computer Applications, 54, 14–20. Cerca con Google

Ramanathan, U. (2014), Performance of supply chain collaboration – A simulation study, Expert Systems with Applications, 41, 210–220. Cerca con Google

Randall, W.S., Nowicki, D.R., Hawkins, T.G. (2011). Explaining the effectiveness of performance-based logistics: a quantitative examination, The International Journal of Logistics Management, 22(3), 324 – 348. Cerca con Google

Raval, S. (2016). Decentralized applications : harnessing Bitcoin’s Blockchain technology, O’Reilly Media. Cerca con Google

Regione Emilia Romagna (2016). Verso Il Nuovo Piano Regionale Integrato Dei Trasporti - PRIT 2025, 3°Commissione Consigliare Assemblea Legislativa. Cerca con Google

Reyes, C.L. (2016). Moving Beyond Bitcoin to an Endogenous Theory of Decentralized Ledger Technology Regulation: An Initial Proposal, Villanova Law Review, 61, 191–234. Cerca con Google

Rohdin, P., Moshfegh, B. (2011). Numerical modelling of industrial indoor environments: A comparison between different turbulence models and supply systems supported by field measurements, Building and Environment, 46, 2365–2374. Cerca con Google

Rong, A., Akkerman, R. and Grunow, M. (2011). An optimization approach for managing fresh food quality throughout the supply chain, International Journal of Production Economics, 131(1), 421–429. Cerca con Google

Roodbergen, K.J., Vis, I.F.A. (2009), A survey of literature on automated storage and retrieval systems, European Journal of Operational Research, 194 (2), 343–362. Cerca con Google

Ruel, S., Ouabouch, L., Shaaban, S. (2017), Supply chain uncertainties linked to information systems: a case study approach, Industrial Management & Data Systems, 117 (6), 1093-1108, Cerca con Google

Sadiq, M. (1993). A hybrid clustering algorithm for reconfiguration of dynamic order picking systems. Ph.D. dissertation, University of Arkansas 1993. Cerca con Google

Sadiq, M., Landers, T.L., Taylor, G. (1996). An assignment algorithm for dynamic picking systems, IEEE Transaction. Cerca con Google

Saif, A., Elhedhli, S. (2016). Cold supply chain design with environmental considerations: A simulation-optimization approach, European Journal of Operarions Research, 251, 274–287. Cerca con Google

Sambamurthy, V., Bharadwaj, A. and Grover, V. (2003), Shaping agility through digital options: reconceptualizing the role of information technology in contemporary firms, MIS Quarterly, 27 (2), 237–264. Cerca con Google

Sandberg, E., (2007). Logistics Collaboration in Supply Chains: Practice vs. Theory, International Journal of Logistics Management, 18, (2), 274-293. Cerca con Google

Savino, M.M., Manzini, R., Mazza, A. (2015). Environmental and economic assessment of fresh fruit supply chain through value chain analysis. A case study in chestnuts industry, Production Planning Control, 26, 1–18. Cerca con Google

Selviaridis K, Spring M (2007) Third party logistics: a literature review and research agenda, The International Journal of Logistics Management, 18(1), 125 – 150. Cerca con Google

Sezen, B., (2008). Relative effects of design, integration and information sharing on supply chain performance, Supply Chain Management, 13, 233–240. Cerca con Google

Shaw, S., Gibbs, J. (1995). Retailer-supplier relationships and the evolution of marketing: two food industry case studies, International Journal of Retail & Distribution Management, 23 (7), 1-16. Cerca con Google

Shi, Y., Zhang, A., Arthanari, T., Liu, Y. and Cheng, T.C. (2016). Third-party purchase: An empirical study of third-party logistics providers in China, International Journal of Production Economics, 171, 189–200. Cerca con Google

Shiau, J., Lee, M. (2010), A warehouse management system with sequential picking for multi-container deliveries, Computers & Industrial Engineering, 58, 382–392. Cerca con Google

Shukla, M., Jharkharia, S. (2013). Agri-fresh produce supply chain management: a state-of-the-art literature review, International Journal of Operations & Production Management, 33 (2), 114-158. Cerca con Google

Siddh, M.M., Soni, G., Jain, R. (2015) Perishable food supply chain quality (PFSCQ): A structured review and implications for future research, Journal of Advances in Management Research, 12 (3), 29. Cerca con Google

Somapa, S., Cools, M., Dullaert, W. (2012). Unlocking the potential of time-driven activity-based costing for small logistics companies, International Journal of Logistics: Research and Application, 15 (5), 303-322. Cerca con Google

Song, B.D., Ko, Y.D. (2016). A vehicle routing problem of both refrigerated – and general – type vehicles for perishable food products delivery, Journal of Food Engineering, 169, 61-71. Cerca con Google

Staudt, F.H., Alpan, G., Di Mascolo, M., Rodriguez, C.T. (2015), Warehouse performance measurement: A literature review, International Journal of Production Research, 53 (18), 5524–5544. Cerca con Google

Stoecker, W. F. (1998). Industrial Refrigeration Handbook. McGraw-HIll Book Co. Cerca con Google

Swan, M. (2015). Blueprint for a new economy. O’Reilly Media. Cerca con Google

Swan, M. (2016). Blockchain Temporality: Smart Contract Time Specifiability with Blocktime. Rule Technologies, Research, Tools, and Applications: 10th International Symposium, RuleML 2016, Stony Brook, NY, USA, July 6-9, 2016. Proceedings, (2016), 184–196. Cerca con Google

Tan, H. (2009), Design and realization of WMS based on 3PL enterprises, International Symposium on Information Engineering and Electronic Commerce IEEC 2009,. 174–178. Cerca con Google

Thirumalai, S., and Sinha, K.K. (2011). Product Recalls in the Medical Device Industry: An Empirical Exploration of the Sources and Financial Consequences, Management Science, 57(2), 376–92. Cerca con Google

Thomas, L.M., Meller, R.D. (2015), Developing design guidelines for a case-picking warehouse, International Journal of Production Economics, 170, 741–762. Cerca con Google

Tian, F. (2016). An agri-food supply chain traceability system for China based on RFID & blockchain technology. 13th International Conference on Service Systems and Service Management, ICSSSM 2016, Kust, Kunming, China. Cerca con Google

Tierion (2017). Blockchain Healthcare Promise & Pitfalls, Available at: https://tierion.com/blog/blockchain-healthcare-2016-report/ (Accessed February 10, 2017) Vai! Cerca con Google

Trienekens, J., Zuurbier, P. (2008). Quality and safety standards in the food industry, developments and challenges. International Journal of Production Economics, 113, 107–122. Cerca con Google

Tsamis, N., Giannikas, V., McFarlane, D., Lu, W., Strachan, J. (2015). Adaptive Storage Location Assignment for Warehouses Using Intelligent Products, Studies in Computational Intelligence, 594, 271-279. Cerca con Google

Tschorsch, F. Scheuermann, B. (2016). Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies. In: IEEE Communications Surveys Tutorials 18.3, pp. 2084–2123. Cerca con Google

Twinn, F.(2007). Energy reduction becomes a priority, Food Manufacture, 82(3), 41–42. Cerca con Google

Uniontrasporti (2011). Il Sistema Infrastrutturale Logistico dell’Emilia Romagna Criticità E Potenzialità per Una Maggiore Competitività Delle Imprese E Del Territorio. Cerca con Google

Vaikousi, H., Biliaderis, C. G., Koutsoumanis, K. P. (2008). Development of a Microbial Time / Temperature Indicator Prototype for Monitoring the Microbiological Quality of Chilled Foods, Applied and Environmental Microbiology, 74(10), 3242–3250. Cerca con Google

Vaisala, (2017). GMP Warehouse Mapping: Step-by-Step guidelines for validating life science storage facilities. Available at: https://www.vaisala.com/sites/default/files/documents/CEN-LSC-AMER-GMP-Warehouse-Mapping-White-Paper-B211170EN-A.pdf Vai! Cerca con Google

Validi, S., Bhattacharya, A., Byrne, P.J. (2014). A case analysis of a sustainable food supply chain distribution system—A multi-objective approach, International Journal of Production Economics, 152, 71–87. Cerca con Google

Van der Stichele, M., Young, B. (2009). The Abuse of Supermarket Buyer Power in the EU Food Retail Sector: Preliminary Survey of Evidence, Agribusiness Accountability Initiative AAI, Amsterdam, 2009. Cerca con Google

Van der Vaart, T., van Donk, D.P., (2008). A critical review of survey-based research in supply chain integration, International Journal of Production Economics, 111 (1), 42-55. Cerca con Google

Van Eck, N. J. Waltman, L. (2010) ‘Software survey: VOSviewer, a computer program for bibliometric mapping’, Scientometrics, 84, 523–538. Cerca con Google

Van Eck, N. J., and Waltman, L. (2009). How to Normalize Cooccurrence Data? An Analysis of SomeWell-Known Similarity Measures Nees, Journal of the American Society for Information Science and Technology, 60, 8. Cerca con Google

Van Luxemburg, A. , Ulijn, J. M., Amare, N. (2002). The contribution of electronic communication media to the design process: Communicative and cultural implications, IEEE Transactions on Professional Communication, 45 (4), 250-264. Cerca con Google

Van Nunen, K., Li, J., Reniers, G., Ponnet, K. (2017). Bibliometric analysis of safety culture research, Safety Science, 0–1. Cerca con Google

Vanek, F., Sun, Y. (2008). Transportation versus perishability in life cycle energy consumption: A case study of the temperature-controlled food product supply chain, Transportation Research Part D, 13, 383–391. Cerca con Google

Varsei, M., Polyakovskiy, S. (2017). Sustainable supply chain network design: A case of the wine industry in Australia, Omega, 66, 236–247. Cerca con Google

Vaughan, W. (2016). 2017’s Big Question: Who Pays for the Blockchain? http://www.coindesk.com/2017-question-who-pays-for-blockchain/ (Accessed February 2, 2017) Vai! Cerca con Google

Verwijmeren, M. (2004), Software component architecture in supply chain management, Computers in Industry, 53, 165–178. Cerca con Google

Vlachos, I.P., Bourlakis, M., Karalis, V., (2008). Manufacturer-retailer collaboration in supply chain: Empirical evidence from the greek food sector, International Journal of Logistics: Research and Application, 11 (4), 267-277. Cerca con Google

Walport, M. (2016). Distributed ledger technology: Beyond block chain, UK Government Office for Science. Cerca con Google

Wang, L. L., Li, W. (2017). A study of thermal destratification for large warehouse energy savings, Energy and Buildings, 153, 126–135. Cerca con Google

Wang, X., and Li, D. (2012). A dynamic product quality evaluation based pricing model for perishable food supply chains, Omega, 40(6), 906–917. Cerca con Google

Wang, X., Li, D. (2012). A dynamic product quality evaluation based pricing model for perishable food supply chains, Omega, 40(6), 906–917. Cerca con Google

Wang, X., Li, D., and O’Brien, C. (2009)a. Optimisation of traceability and operations planning: An integrated model for perishable food production, International Journal of Production Research, 47(11), 2865–2886. Cerca con Google

Weber, I., Xu, X., Riveret, R., Governatori, G., Ponomarev, A., and Mendling, J. (2016). Untrusted Business Process Monitoring and Execution Using Blockchain, International Conference Business Process Management (BPM), Rio de Janeiro, Brazil, September 2016. Cerca con Google

Wheeler, M. (2017). The woman whose mum inspired her to track ethical food, BBC News, Available at: http://www.bbc.com/news/business-38773878 (Accessed March 1, 2017) Vai! Cerca con Google

Whipple, J., Russel, D., 2007. Building supply chain collaboration: a typology of collaborative approaches, International Journal of Logistics Management, 18 (2), 174-196. Cerca con Google

White, J.A., De Mars, N.A., Matson, J.O., (1981). Optimizing storage system selection, Proceedings of the International Conference on Automation in Warehousing, 243-259, 1981. Cerca con Google

WHO, (2003). Annex 9: Guide to good storage practices for pharmaceuticals. Technical supplement to WHO Technical Report Series, No. 908, 2003 Cerca con Google

WHO, (2014). Temperature mapping of storage areas. Annex 9: Model guidance for the storage and transport of time and temperature–sensitive pharmaceutical products. Technical supplement to WHO Technical Report Series, No. 961, 2011. Cerca con Google

Xu, X., Pautasso, C., Zhu, L., Gramoli, V., Ponomarev, A., Tran, A.B., and Chen, S. (2016). The blockchain as a software connector, Proceedings - 2016 13th Working IEEE/IFIP Conference on Software Architecture, WICSA 2016, Venice, Italy, 182–191. Cerca con Google

Yang S, Xiao Y, Kuo Y-H, 2017. The Supply Chain Design for Perishable Food with Stochastic Demand, Sustainability, 9(7), 1195. Cerca con Google

Yang, S., Xiao, Y., Zheng, Y., Liu, Y. (2017). The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control, Sustainability, 9, 1511. Cerca con Google

Yao, D.-Q., Yue, X., Liu, J., (2008). Vertical cost information sharing in a supply chain with value-adding retailers, Omega 36, 838–851. Cerca con Google

Yigitbasioglu, O.M. (2010). Information Sharing with Key Suppliers: A Transaction Cost Theory Perspective, International Journal of Physical Distribution & Logistics Management, 40 (3), 550–578. Cerca con Google

Yingde, L., Smith, J.S. (2012). Dynamic slotting optimization based on SKUs correlations in a zone‐based wave‐picking system, Proceeding of the 12th International Material Handling Research Colloquium, B. Montreuil, A.Carrano, K. Gue, J. Smith, M. Ogle, Eds., CICMHE/MHI, Charlotte, NC. Cerca con Google

Yu, M., and Nagurney, A. (2013). Competitive food supply chain networks with application to fresh produce, European Journal of Operational Research, 224(2), 273–282. Cerca con Google

Yuan, Y., Wang, F. (2016).Towards Blockchain-based Intelligent Transportation Systems, 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016, Rio de Janeiro, Brazil, November 1-4, (2016), 2663–2668. Cerca con Google

Zhang, X.M., Hou, J.C., Ren, H.Z. (2014). Study on dynamic slotting optimization in storage system, Advanced Material Research, 933, 260–264. Cerca con Google

Zheng, Z., Dai, H.-N., Xie, S., Wang, H.(2016). Blockchain Challenges and Opportunities : A Survey, International Journal of Web and Grid Services, 1–24. Cerca con Google

Zhu, Y. C., Wang, S. S. (2013). The design of warehouse temperature and humidity monitoring system, Advanced Materials Research, 709, 453–457. Cerca con Google

Zhu, Z., Chu, F., Dolgui, A., Chu, C., Zhou, W., Piramuthu, S. (2018): Recent advances and opportunities in sustainable food supply chain: a model-oriented review, International Journal of Production Research. Cerca con Google

Solo per lo Staff dell Archivio: Modifica questo record