Logistics network design for perishable products with heterogeneous quality decay

European Journal of Operational Research - Tập 262 - Trang 535-549 - 2017
Marlies de Keizer1, Renzo Akkerman1, Martin Grunow2, Jacqueline M. Bloemhof1, Rene Haijema1, Jack G.A.J. van der Vorst1
1Operations Research and Logistics Group, Wageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlands
2TUM School of Management, Technical University of Munich, Arcisstrasse 21, Munich 80333, Germany

Tài liệu tham khảo

Ahumada, 2009, Application of planning models in the agri-food supply chain: A review, European Journal of Operational Research, 196, 1, 10.1016/j.ejor.2008.02.014 Aikens, 1985, Facility location models for distribution planning, European Journal of Operational Research, 22, 263, 10.1016/0377-2217(85)90246-2 Akkerman, 2010, Quality, safety and sustainability in food distribution: A review of quantitative operations management approaches and challenges, OR Spectrum, 32, 863, 10.1007/s00291-010-0223-2 Akkerman, 2010, Make to stock and mix to order: Choosing intermediate products in the food-processing industry, International Journal of Production Research, 48, 3475, 10.1080/00207540902810569 Alumur, 2008, Network hub location problems: The state of the art, European Journal of Operational Research, 190, 1, 10.1016/j.ejor.2007.06.008 Amorim, 2011, Managing perishability in production-distribution planning: A discussion and review, Flexible Services and Manufacturing Journal, 20, 1 Baghalian, 2013, Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case, European Journal of Operational Research, 227, 199, 10.1016/j.ejor.2012.12.017 Bakker, 2012, Review of inventory systems with deterioration since 2001, European Journal of Operational Research, 221, 275, 10.1016/j.ejor.2012.03.004 Blackburn, 2009, Supply chain strategies for perishable products: The Case of Fresh Produce, Production and Operations Management, 18, 129, 10.1111/j.1937-5956.2009.01016.x Caro, 2012, Process location and product distribution with uncertain yields, Operations Research, 60, 1050, 10.1287/opre.1120.1087 Eppen, 1979, Effects of centralization on expected costs in a multi-location newsboy problem, Management Science, 25, 498, 10.1287/mnsc.25.5.498 Forza, 2008, Form postponement effects on operational performance: A typological theory, International Journal of Operations & Production Management, 28, 1067, 10.1108/01443570810910197 Gebennini, 2009, An integrated production-distribution model for the dynamic location and allocation problem with safety stock optimization, International Journal of Production Economics, 122, 286, 10.1016/j.ijpe.2009.06.027 Grunow, 2013, RFID in highly perishable food supply chains: Remaining shelf life to supplant expiry date?, International Journal of Production Economics, 146, 717, 10.1016/j.ijpe.2013.08.028 Guericke, 2012, A stochastic model for the implementation of postponement strategies in global distribution networks, Decision Support Systems, 53, 294, 10.1016/j.dss.2012.01.010 Hammami, 2013, An optimisation model for the design of global multi-echelon supply chains under lead time constraints, International Journal of Production Research, 51, 2760, 10.1080/00207543.2012.738942 Hammami, 2009, A strategic-tactical model for the supply chain design in the delocalization context: Mathematical formulation and a case study, International Journal of Production Economics, 122, 351, 10.1016/j.ijpe.2009.06.030 Hasani, 2012, Robust closed-loop supply chain network design for perishable goods in agile manufacturing under uncertainty, International Journal of Production Research, 50, 4649, 10.1080/00207543.2011.625051 Hedenstierna, 2011, Dynamic implications of customer order decoupling point positioning, Journal of Manufacturing Technology Management, 22, 1032, 10.1108/17410381111177476 Hwang, 2004, A stochastic set-covering location model for both ameliorating and deteriorating items, Computers & Industrial Engineering, 46, 313, 10.1016/j.cie.2003.12.010 Jedermann, 2014, Reducing food losses by intelligent food logistics, Philosophical Transactions of the Royal Society A, 372 Jedermann, 2009, Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation, Computers and Electronics in Agriculture, 65, 145, 10.1016/j.compag.2008.08.006 de Keizer, 2013, Logistics orchestration scenarios in a potted plant supply chain network, International Journal of Logistics: Research and Applications, 17, 156, 10.1080/13675567.2013.837157 de Keizer, 2015, Floricultural supply chain network design and control: Industry needs and modelling challenges, Journal on Chain and Network Science, 15, 61, 10.3920/JCNS2014.0001 Kilic, 2013, Intermediate product selection and blending in the food processing industry, International Journal of Production Research, 51, 26, 10.1080/00207543.2011.640955 Klose, 2005, Facility location models for distribution system design, European Journal of Operational Research, 162, 4, 10.1016/j.ejor.2003.10.031 Lieckens, 2012, Multi-level reverse logistics network design under uncertainty, International Journal of Production Research, 50, 23, 10.1080/00207543.2011.571442 Melo, 2009, Facility location and supply chain management: A review, European Journal of Operational Research, 196, 401, 10.1016/j.ejor.2008.05.007 Nozick, 2001, A two-echelon inventory allocation and distribution center location analysis, Transportation Research Part E: Logistics and Transportation Review, 37, 425, 10.1016/S1366-5545(01)00007-2 Olhager, 2010, The role of the customer order decoupling point in production and supply chain management, Computers in Industry, 61, 863, 10.1016/j.compind.2010.07.011 Pahl, 2014, Integrating deterioration and lifetime constraints in production and supply chain planning: A survey, European Journal of Operational Research, 238, 654, 10.1016/j.ejor.2014.01.060 Rong, 2011, An optimization approach for managing fresh food quality throughout the supply chain, International Journal of Production Economics, 131, 421, 10.1016/j.ijpe.2009.11.026 Sadjady, 2012, Two-echelon, multi-commodity supply chain network design with mode selection, lead-times and inventory costs, Computers & Operation Research, 39, 1345, 10.1016/j.cor.2011.08.003 Shen, 2005, A multi-commodity supply chain design problem, IIE Transactions, 37, 753, 10.1080/07408170590961120 Shen, 2003, A joint location-inventory model, Transportation Science, 37, 40, 10.1287/trsc.37.1.40.12823 Shen, 2007, Incorporating inventory and routing costs in strategic location models, European Journal of Operational Research, 179, 372, 10.1016/j.ejor.2006.03.032 Sun, 2008, Positioning multiple decoupling points in a supply network, International Journal of Production Economics, 113, 943, 10.1016/j.ijpe.2007.11.012 Tancrez, 2012, A location-inventory model for large three-level supply chains, Transportation Research Part E: Logistics and Transportation Review, 48, 485, 10.1016/j.tre.2011.10.005 Tromp, 2012, On the prediction of the remaining vase life of cut roses, Postharvest Biology and Technology, 70, 42, 10.1016/j.postharvbio.2012.04.003 Van der Vorst, 2009, Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics, International Journal of Production Research, 47, 6611, 10.1080/00207540802356747 Van der Vorst, 2000 Van der Vorst, 2011, Towards a diagnostic instrument to identify improvement opportunities for quality controlled logistics in agrifood supply chain networks, International Journal on Food System Dynamics, 2, 94 Verdouw, 2013, Virtualisation of floricultural supply chains: A review from an Internet of Things perspective, Computers and Electronics in Agriculture, 99, 160, 10.1016/j.compag.2013.09.006 You, 2008, Design of responsive supply chains under demand uncertainty, Computers & Chemical Engineering, 32, 3090, 10.1016/j.compchemeng.2008.05.004 Yu, 2013, Competitive food supply chain networks with application to fresh produce, European Journal of Operational Research, 224, 273, 10.1016/j.ejor.2012.07.033 Zhang, 2003, Improving the structure of deep frozen and chilled food chain with tabu search procedure, Journal of Food Engineering, 60, 67, 10.1016/S0260-8774(03)00019-0