Considering chain-to-chain competition on environmental and social concerns in a supply chain network design problem

被引:15
作者
Nobari, Arash [1 ]
Kheirkhah, AmirSaman [1 ]
Esmaeili, Maryam [2 ]
机构
[1] Bu Ali Sina Univ, Ind Engn Dept, Fac Engn, Hamadan, Iran
[2] Alzahra Univ, Ind Engn Dept, Fac Engn, Tehran, Iran
关键词
Supply chain network design; chain-to-chain competition; sustainability concerns; game theoretic approach; Pareto-based meta-heuristic algorithm; FACILITY LOCATION; REVERSE LOGISTICS; STRATEGIC DESIGN; OPTIMIZATION; MODEL; MANAGEMENT; ALGORITHM; PRODUCTS;
D O I
10.1080/17509653.2018.1474142
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The supply chain network design problem has been widely studied as one of the most important issues in supply chain management. In recent years, competitive nature of markets caused researchers to attend the competition issue in their studies. In this research, a multi-objective mathematical model for dynamic and integrated network design of a competitive and sustainable supply chain is presented. In the proposed model, a chain-to-chain competition between two supply chains, who compete on environmental and social concerns, is considered. To solve this competitive model, a two-stage solution approach is introduced. A game theory approach is initially used to determine the equilibrium values for competitive decisions. Then, according to results of the competitive stage and respecting complexity of the proposed model, a Pareto-based multi-objective meta-heuristic algorithm is applied to solve the achieved network design problem. Finally, to evaluate the efficiency of the proposed model and presented solution approach, several generated numerical examples are graphically and statistically studied.
引用
收藏
页码:33 / 46
页数:14
相关论文
共 47 条
[1]   An efficient optimization procedure for designing a capacitated distribution network with price-sensitive demand [J].
Ahmadi-Javid, Amir ;
Ghandali, Razieh .
OPTIMIZATION AND ENGINEERING, 2014, 15 (03) :801-817
[2]  
[Anonymous], COMPUTERS OPERATIONS
[3]  
[Anonymous], INT J PRODUCTION EC
[4]  
Atashpaz-Gargari E, 2007, IEEE C EVOL COMPUTAT, P4661, DOI 10.1109/cec.2007.4425083
[5]   Integrated strategic and tactical planning in a supply chain network design with a heuristic solution method [J].
Badri, Hossein ;
Bashiri, Mahdi ;
Hejazi, Taha Hossein .
COMPUTERS & OPERATIONS RESEARCH, 2013, 40 (04) :1143-1154
[6]   An integrated multi-objective supply chain network and competitive facility location model [J].
Bilir, Canser ;
Ekici, Sule Onsel ;
Ulengin, Fusun .
COMPUTERS & INDUSTRIAL ENGINEERING, 2017, 108 :136-148
[7]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[8]   Designing sustainable recovery network of end-of-life products using genetic algorithm [J].
Dehghanian, Farzad ;
Mansour, Saeed .
RESOURCES CONSERVATION AND RECYCLING, 2009, 53 (10) :559-570
[9]  
Dolgoff R., 1980, Understanding social welfare
[10]   The design of a responsive sustainable supply chain network under uncertainty [J].
Dubey, Rameshwar ;
Gunasekaran, Angappa ;
Childe, Stephen J. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 80 (1-4) :427-445