An integrated multi-objective supply chain network and competitive facility location model

被引:31
作者
Bilir, Canser [1 ]
Ekici, Sule Onsel [2 ]
Ulengin, Fusun [3 ]
机构
[1] Istanbul S Zaim Univ, Dept Ind Engn, Halkali Cd Kucukcekmece, TR-34303 Cerrahpasa, Turkey
[2] Dogus Univ, Fac Engn, Dept Ind Engn, Zeamet Sok,21 Kadikoy, TR-34722 Istanbul, Turkey
[3] Sabanci Univ, Sabanci Sch Management, Orta Mah,Univ Cad 27 Orhanli Tuzla, TR-34956 Istanbul, Turkey
关键词
Supply chain (SC) network optimization; Multi-objective optimization; SC risk modelling; Mixed integer linear programming; Competitive facility location models; DESIGN; OPTIMIZATION; DISRUPTIONS; MANAGEMENT; DECISIONS;
D O I
10.1016/j.cie.2017.04.020
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this study, a multi-objective supply chain (SC) network optimization model based on the joint SC network optimization and competitive facility location models is proposed to analyse the results of ignoring the impacts of SC network decisions on customer demand. The objectives utilized in the model are profit maximization, sales maximization and SC risk minimization. The unique unknown variable within the model is the demand. The demand at each customer zone is assumed to be determined by price and the utility function. The utility function is defined as the availability of same-day transportation from the distribution centre (DC) to the customer zone. The application of the proposed model is illustrated through a real-world problem and is solved as single and multi-objective models. The results of single and multi-objective models are subsequently compared. After solving the problem, a sensitivity analysis is also conducted to test the applicability of the model with respect to various parameter coefficients, such as price elasticity, one-day replenishment coverage impact, risk factors (disruption probabilities) and the relative weights of the objectives. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:136 / 148
页数:13
相关论文
共 50 条
[41]   An iterative solution approach to a multi-objective facility location problem [J].
Karatas, Mumtaz ;
Yakici, Ertan .
APPLIED SOFT COMPUTING, 2018, 62 :272-287
[42]   A Multi-objective integrated approach to address sustainability in a meat supply chain [J].
Najafi, Mehdi ;
Zolfagharinia, Hossein .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2024, 124
[43]   Solution of Multi-Objective Competitive Facility Location Problems Using Parallel NSGA-II on Large Scale Computing Systems [J].
Lancinskas, Algirdas ;
Zilinskas, Julius .
APPLIED PARALLEL AND SCIENTIFIC COMPUTING (PARA 2012), 2013, 7782 :422-433
[44]   Optimizing Palm Oil Biomass Supply Chain Logistics through Multi-Objective LocationRouting Model [J].
Yeng, Foo Fong ;
Zainuddin, Zaitul Marlizawati ;
Pheng, Hang See .
MALAYSIAN JOURNAL OF FUNDAMENTAL AND APPLIED SCIENCES, 2024, 20 (02) :247-265
[45]   A multi-objective model for risk mitigating in supply chain design [J].
Nooraie, Vahid ;
Fathi, Mandi ;
Narenji, Masoud ;
Parast, Mahour M. ;
Pardalos, Panagote M. ;
Stanfield, P. M. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020, 58 (05) :1338-1361
[46]   A multi-objective supply chain configuration model for new products [J].
Nepal, Bimal ;
Monplaisir, Leslie ;
Famuyiwa, Oluwafemi .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2011, 49 (23) :7107-7134
[47]   A set of efficient heuristics and meta-heuristics to solve a multi-objective pharmaceutical supply chain network [J].
Goodarzian, Fariba ;
Kumar, Vikas ;
Ghasemi, Peiman .
COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 158 (158)
[48]   A multi-objective optimization model for the design of an effective decarbonized supply chain in mining [J].
Canales-Bustos, Linda ;
Santibanez-Gonzalez, Ernesto ;
Candia-Vejar, Alfredo .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2017, 193 :449-464
[49]   A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits [J].
Jian, Jie ;
Guo, Yu ;
Jiang, Lin ;
An, Yanyan ;
Su, Jiafu .
SUSTAINABILITY, 2019, 11 (21)
[50]   Fuzzy multi-objective linear programming approach for optimising a closed-loop supply chain network [J].
Ozceylan, Eren ;
Paksoy, Turan .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (08) :2443-2461