The fuzzy multi-objective distribution planner for a green meat supply chain

International Journal of Production Economics - Tập 184 - Trang 47-58 - 2017
Ahmed Mohammed1, Qian Wang1
1School of Engineering, University of Portsmouth, PO1 3DJ, UK

Tài liệu tham khảo

Accorsi, 2016, The land-network problem: ecosystem carbon balance in planning sustainable agro-food supply chains, J. Clean. Prod., 112, 158, 10.1016/j.jclepro.2015.06.082 Al-e-hashem, 2011, A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty, Int. J. Prod. Econ., 134, 28, 10.1016/j.ijpe.2011.01.027 Aliev, 2007, Fuzzy-genetic approach to aggregate production-distribution planning in supply chain management, Inf. Sci., 177, 4241, 10.1016/j.ins.2007.04.012 Bortolini, 2016, Fresh food sustainable distribution: cost, delivery time and carbon footprint three-objective optimization, J. Food Eng., 174, 56, 10.1016/j.jfoodeng.2015.11.014 Davis, 1993, Effective supply chain management, Sloan, Manag. Rev., 34, 35 Ehrgott, 2005 Kannan, 2013, Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain, J. Clean. Prod., 47, 355, 10.1016/j.jclepro.2013.02.010 Fattahi, 2015, Dynamic supply chain network design with capacity planning and multi-period pricing, Transp. Res. E: Logist. Transp. Rev., 81, 169, 10.1016/j.tre.2015.06.007 Fritz, 2009, Tracking, tracing, and business process interests in food commodities: a multi-level decision complexity, Int. J. Prod. Econ., 117, 317, 10.1016/j.ijpe.2008.10.015 García-Flores, 2014, Optimal location of spelling yards for the northern Australian beef supply chain, Comput. Electron. Agric., 102, 134, 10.1016/j.compag.2014.01.015 Gholamiana, 2015, Comprehensive fuzzy multi-objective multi-product multi-site aggregate production planning decisions in a supply chain under uncertainty, Appl. soft Comput., 37, 585, 10.1016/j.asoc.2015.08.041 Harris, 2014, A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling, Transp. Res. Part E, 66, 1, 10.1016/j.tre.2014.01.010 HMC, UK, 2010. 〈http://www.halalhmc.org/〉, Available: 〈http://www.halalhmc.org/test-demo.htm〉. (accessed 26.10.14). Jiménez López, 2007, Linear programming with fuzzy parameters: an interactive method resolution, Eur. J. Oper. Res., 177, 1599, 10.1016/j.ejor.2005.10.002 Liang, 2006, Distribution planning decisions using interactive fuzzy multiobjective linear programming, Fuzzy Sets Syst., 157, 1303, 10.1016/j.fss.2006.01.014 Liu, 2013, Multi objective optimisation of production, distribution and capacity planning of global supply chains in the process industry, Omega, 41, 369, 10.1016/j.omega.2012.03.007 Liu, 2004, Solving fuzzy transportation problems based on extension principle, Eur. J. Oper. Res., 153, 661, 10.1016/S0377-2217(02)00731-2 Mattevi, 2016, Traceability in the food supply chain: awareness and attitudes of UK Small and Medium-sized Enterprises, Food Control, 64, 120, 10.1016/j.foodcont.2015.12.014 Mohammed, A., Wang.Q. (2015). Integrity of an RFID-enabled HMSC network. In: Proceedings of the Third International Conference on Digital Enterprise and Information Systems. China, pp. 79–86. Pagell, 2009, Building a more complete theory of sustainable supply chain management using case studies of 10 exemplars, J. Supply Chain Manag. Glob. Rev. Purch. Supply, 45, 37, 10.1111/j.1745-493X.2009.03162.x Paksoy, 2012, Application of fuzzy optimization to a supply chain network design: case study of an edible vegetable oils manufacturer, Appl. Math. Model. (SCI-Expand.), 36, 2762, 10.1016/j.apm.2011.09.060 Paksoy, 2012, Fuzzy multi objective optimization of green supply chain network with risk management of included environmental hazards, Hum. Ecol. Risk Assess. (SCI), 18, 1121 Pasandideh, 2015, Optimizing a bi-objective multi-product multi-period three echelon supply chain network with warehouse reliability, Expert Syst. Appl., 42, 2615, 10.1016/j.eswa.2014.11.018 Peidro, 2009, Fuzzy optimization for supply chain planning under supply, demand and process uncertainties, Fuzzy Sets Syst., 160, 2640, 10.1016/j.fss.2009.02.021 Pishvaee, 2012, Environmental supply chain network design using multi-objective fuzzy mathematical programming, Appl. Math. Model., 36, 3433, 10.1016/j.apm.2011.10.007 Petrovic, 1998, Modelling and simulation of a supply chain in an uncertain Environmentî, Eur. J. Oper. Res., 109, 299, 10.1016/S0377-2217(98)00058-7 Qin, 2010, Logistics network design for product recovery in fuzzy environment, Eur. J. Oper. Res., 202, 479, 10.1016/j.ejor.2009.05.036 Robinson, 2008, The greening of supply chains, Supply Chain Manag. Rev., 12, 61 Rong, 2011, An optimization approach for managing fresh food quality throughout the supply chain, Int. J. Prod. Econ., 131, 421, 10.1016/j.ijpe.2009.11.026 Özceylan, 2013, Fuzzy multi objective linear programming approach for optimizing a closed-loop supply chain network, Int. J. Prod. Res. (SCI), 51, 2443, 10.1080/00207543.2012.740579 Özceylan, 2014, Interactive fuzzy programming approaches to the strategic and tactical planning of a closed-loop supply chain under uncertainty, Int. J. Prod. Res. (SCI), 52, 2363, 10.1080/00207543.2013.865852 Sahar, 2014, A case analysis of a sustainable food supply chain distribution system—A multi-objective approach, Int. J. Prod. Econ., 152, 71, 10.1016/j.ijpe.2014.02.003 Sakawa, 2001, Fuzzy programming and profit and cost allocation for a production and transportation problem, Eur. J. Oper. Res., 131, 1, 10.1016/S0377-2217(00)00104-1 Selim, 2008, Collaborative production–distribution planning in supply chain: a fuzzy goal programming approach, Transp. Res. Part E: Logist. Transp. Rev., 44, 396, 10.1016/j.tre.2006.11.001 Shih, 1999, Cement transportation planning via fuzzy linear programming, Int. J. Prod. Econ., 58, 277, 10.1016/S0925-5273(98)00206-0 Snyder, 2006, Facility location under uncertainty: a review, IIE Trans., 38, 537, 10.1080/07408170500216480 Talaei, 2015, A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry, J. Clean. Prod., 15, 959 Teimoury, 2013, A multi-objective analysis for import quota policy making in a perishable fruit and vegetable supply chain: a system dynamics approach, Comput. Electron. Agric., 93, 37, 10.1016/j.compag.2013.01.010 Torabi, 2008, An Interactive possibilistic programming approach for multiple objective supply chain master planning, Fuzzy Sets Syst., 159, 193, 10.1016/j.fss.2007.08.010 Vidal, 1997, Strategic production–distribution models: a critical review with emphasis on global supply chain models, Eur. J. Oper. Res., 98, 1, 10.1016/S0377-2217(97)80080-X Wang, 2010, Resolution of an uncertain closed-loop logistics model: an application to fuzzy linear programs with risk analysis, J. Environ. Manag., 91, 2148, 10.1016/j.jenvman.2010.05.009 Wang, 2005, Fuzzy decision modeling for supply chain management, Fuzzy Sets Syst., 150, 107, 10.1016/j.fss.2004.07.005 Wang, 2007, A possibilistic decision model for new product supply chain design, Eur. J. Ope. Res., 177, 1044, 10.1016/j.ejor.2005.12.032 Zarandi, 2011, Design of a closed-loop supply chain (CLSC) model using an interactive fuzzy goal programming, Int. J. Adv. Manuf. Technol., 56, 809, 10.1007/s00170-011-3212-y