A novel multi-objective optimization approach for sustainable supply chain: A case study in packaging industry
Tài liệu tham khảo
Amindoust, 2012, Sustainable supplier selection: A ranking model based on fuzzy inference system, Appl. Soft Comput., 12, 1668, 10.1016/j.asoc.2012.01.023
Bas, 2013, The integrated framework for analysis of electricity supply chain using an integrated SWOT-fuzzy TOPSIS methodology combined with AHP: The case of Turkey, Int. J. Electr. Power Energy Syst., 44, 897, 10.1016/j.ijepes.2012.08.045
Berg, 2007
Boran, 2009, A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Syst. Appl., 36, 11363, 10.1016/j.eswa.2009.03.039
CPLEX, 2009, IBM ILOG CPLEX Optimizer, Int. Bus. Mach. Corp., 46, 157
Cristea, 2017, A multi-criteria decision making approach for supplier selection in the flexible packaging industry, 06002
Eskandarpour, 2015, Sustainable supply chain network design: an optimization-oriented review, Omega, 54, 11, 10.1016/j.omega.2015.01.006
Esmaili, 2011, Multi-objective congestion management by modified augmented ϵ-constraint method, Appl. Energy, 88, 755, 10.1016/j.apenergy.2010.09.014
Griswold, 2013, Tradeoffs between costs and greenhouse gas emissions in the design of urban transit systems, Environ. Res. Lett., 8, 10.1088/1748-9326/8/4/044046
Haimes, 1971, On a bicriterion formulation of the problems of integrated system identification and system optimization, IEEE Trans. Syst. Man Cybern., 1, 296
Jolai, 2011, Integrating fuzzy TOPSIS and multi-period goal programming for purchasing multiple products from multiple suppliers, J. Purch. Supply Manag., 17, 42, 10.1016/j.pursup.2010.06.004
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. Cleaner Prod., 47, 355, 10.1016/j.jclepro.2013.02.010
Köksalan, 2009, An interactive sorting method for additive utility functions, Comput. Oper. Res., 36, 2565, 10.1016/j.cor.2008.11.006
Köksalan, 2003, An interactive approach for placing alternatives in preference classes, European J. Oper. Res., 144, 429, 10.1016/S0377-2217(02)00138-8
Ku, 2010, Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming, Qual. Quant., 44, 623, 10.1007/s11135-009-9223-1
Li, 2007, A grey-based decision-making approach to the supplier selection problem, Math. Comput. Model., 46, 573, 10.1016/j.mcm.2006.11.021
Litman, 2009
Liu, 2011, Research on the supplier selection of a supply chain based on entropy weight and improved ELECTRE-III method, Int. J. Prod. Res., 49, 637, 10.1080/00207540903490171
Massaroni, 2014
Mavrotas, 2007
Mavrotas, 2009, Effective implementation of the ϵ-constraint method in multi-objective mathematical programming problems, Appl. Math. Comput., 213, 455
Mavrotas, 2013, An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems, Appl. Math. Comput., 219, 9652
Meehan, 2011, Sustainable procurement practice, Bus. Strategy Environ., 20, 94, 10.1002/bse.678
Noorizadeh, 2014
PAGEV, 2017
Prasanna Venkatesan, 2012, Supply chain risk prioritisation using a hybrid AHP and PROMETHEE approach, Int. J. Serv. Oper. Manag., 13, 19
Resat, 2015, Design and operation of intermodal transportation network in the marmara region of Turkey, Transp. Res. E, 83, 16, 10.1016/j.tre.2015.08.006
Resat, 2019, A bi-objective model for design and analysis of sustainable intermodal transportation systems: a case study of Turkey, Int. J. Prod. Res., 1
Saaty, 1980, 281
Saaty, 2000, vol. 6
Shaw, 2012, Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain, Expert Syst. Appl., 39, 8182, 10.1016/j.eswa.2012.01.149
Zadeh, 1963, Optimality and non-scalar-valued performance criteria, IEEE Trans. Autom. Control, 8, 59, 10.1109/TAC.1963.1105511