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
  • [21] Multi-objective analysis of an integrated supply chain scheduling problem
    Cakici, Eray
    Mason, Scott J.
    Kurz, Mary E.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (10) : 2624 - 2638
  • [22] COORDINATED LOCATION, DISTRIBUTION AND INVENTORY DECISIONS IN SUPPLY CHAIN NETWORK DESIGN: A MULTI-OBJECTIVE APPROACH
    Nasiri, G. Reza
    Davoudpour, Hamid
    [J]. SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, 2012, 23 (02) : 159 - 175
  • [23] MULTI-OBJECTIVE OPTIMIZATION MODEL FOR SUPPLY CHAIN MANAGEMENT
    Mendoza Mendoza, Adel Alfonso
    Fontalvo Herrera, Tomas Jose
    Visbal Cadavid, Delimiro Alberto
    [J]. REVISTA CIENCIAS ESTRATEGICAS, 2014, 22 (32): : 295 - 308
  • [24] A multi-objective model for an integrated oil and natural gas supply chain under uncertainty
    Ghaithan, Ahmed M.
    Attia, Ahmed M.
    Duffuaa, Salih O.
    [J]. RAIRO-OPERATIONS RESEARCH, 2021, 55 (06) : 3427 - 3446
  • [25] An Integrated Multi-Objective Approach to Managing Supply Risks in a Flexible Supply Chain
    Mirfani, Aceng Muhtaram
    Kurniady, Dedy Achmad
    Ahmed, Alim Al Ayub
    Shichiyakh, Rustem Adamovich
    Kadhim, Mustafa M.
    Hasan, Ali Yaseen
    Ghaffari, Mahdi
    [J]. INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2021, 20 (04): : 596 - 603
  • [26] Multi-objective optimization of recycling and remanufacturing supply chain logistics network with scalable facility under uncertainty
    Feng, Yanhua
    Xia, Xuhui
    Wang, Lei
    Zhang, Zelin
    [J]. PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL, 2022, 10 (01): : 641 - 665
  • [27] A multi-objective optimization for green supply chain network design
    Wang, Fan
    Lai, Xiaofan
    Shi, Ning
    [J]. DECISION SUPPORT SYSTEMS, 2011, 51 (02) : 262 - 269
  • [28] A multi-objective location and channel model for ULS network
    Hejun Liang
    Guanghui Yuan
    Jingti Han
    Lily Sun
    [J]. Neural Computing and Applications, 2019, 31 : 35 - 46
  • [29] A multi-objective location and channel model for ULS network
    Liang, Hejun
    Yuan, Guanghui
    Han, Jingti
    Sun, Lily
    [J]. NEURAL COMPUTING & APPLICATIONS, 2019, 31 (Suppl 1): : 35 - 46
  • [30] Parallel Shared-Memory Multi-Objective Stochastic Search for Competitive Facility Location
    Lancinskas, Algirdas
    Martinez Ortigosa, Pilar
    Zilinskas, Julius
    [J]. EURO-PAR 2014: PARALLEL PROCESSING WORKSHOPS, PT I, 2014, 8805 : 71 - 82