A multi-objective approach to simultaneous strategic and operational planning in supply chain design

被引:366
|
作者
Sabri, EH
Beamon, BM
机构
[1] Univ Washington, Dept Ind Engn, Seattle, WA 98195 USA
[2] I2 Technol, Irving, TX 75039 USA
来源
关键词
mathematical programming; supply chain; multi-objective decision analysis;
D O I
10.1016/S0305-0483(99)00080-8
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this research, an integrated multi-objective supply chain (SC) model is developed for use in simultaneous strategic and operational SC planning. Multi-objective decision analysis is adopted to allow use of a performance measurement system that includes cost, customer service levels (fill rates), and flexibility (volume or delivery). This measurement system provides more comprehensive measurement of supply chain system performance than do traditional, single-measure approaches. Moreover, this model incorporates production, delivery, and demand uncertainty, and provides a multi-objective performance vector for the entire SC network. The model developed here will aid in the: (1) design of efficient, effective, and flexible supply chain systems and (2) evaluation of competing SC networks. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:581 / 598
页数:18
相关论文
共 50 条
  • [21] A multi-objective robust supply chain design considering reliability
    Gholami, Faezeh
    Paydar, Mohammad Mahdi
    Hajiaghaei-Keshteli, Mostafa
    Cheraghalipour, Armin
    JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2019, 36 (06) : 385 - 400
  • [22] Strategic emergency preparedness network design integrating supply and demand sides in a multi-objective approach
    Uster, Halit
    Dalal, Jyotirmoy
    IISE TRANSACTIONS, 2017, 49 (04) : 395 - 413
  • [23] A multi-objective optimization for green supply chain network design
    Wang, Fan
    Lai, Xiaofan
    Shi, Ning
    DECISION SUPPORT SYSTEMS, 2011, 51 (02) : 262 - 269
  • [24] Fuzzy multi-objective optimisation for master planning in a ceramic supply chain
    Peidro, David
    Mula, Josefa
    Alemany, M. M. E.
    Lario, Francisco-Cruz
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (11) : 3011 - 3020
  • [25] A Coevolution Approach for the Multi-objective Circular Supply Chain Problem
    Benecke, Tobias
    Antons, Oliver
    Mostaghim, Sanaz
    Arlinghaus, Julia
    2023 IEEE CONFERENCE ON ARTIFICIAL INTELLIGENCE, CAI, 2023, : 222 - 223
  • [26] 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
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2021, 20 (04): : 596 - 603
  • [27] Multi-Objective Meta-Heuristic Approach supported by an Improved Local Search Strategy for the Design and Planning of Supply Chain Networks
    Chibeles-Martins, Nelson
    Pinto-Varela, Tania
    Barbosa-Povoa, Ana Paula
    Novais, A. Q.
    24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B, 2014, 33 : 313 - 318
  • [28] A multi-objective meta-heuristic approach for the design and planning of green supply chains - MBSA
    Chibeles-Martins, Nelson
    Pinto-Varela, Tania
    Barbosa-Povoa, Ana P.
    Novais, Augusto Q.
    EXPERT SYSTEMS WITH APPLICATIONS, 2016, 47 : 71 - 84
  • [29] COORDINATED LOCATION, DISTRIBUTION AND INVENTORY DECISIONS IN SUPPLY CHAIN NETWORK DESIGN: A MULTI-OBJECTIVE APPROACH
    Nasiri, G. Reza
    Davoudpour, Hamid
    SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, 2012, 23 (02) : 159 - 175
  • [30] Application of fuzzy multi-objective programming approach to supply chain distribution network design problem
    Selim, Hasan
    Ozkarahan, Irem
    MICAI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4293 : 415 - +