Supply chain network modeling in a golf club industry via fuzzy linear programming approach

被引:10
|
作者
Bilgen, Bilge [1 ]
机构
[1] Dokuz Eylul Univ, Dept Ind Engn, TR-35160 Izmir, Turkey
关键词
Supply chain management; fuzzy mathematical programming; supply chain modeling and optimization; INTEGRATED PRODUCTION; DISTRIBUTION-SYSTEMS; MANAGEMENT; DESIGN; CONSTRAINTS; UNCERTAINTY; SETS;
D O I
10.3233/IFS-2010-0454
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper addresses a supply chain network planning problem faced by a company that manages a golf club supply chain. The supply chain network is considered for the production of several products through an assembly of three modules supplied by different suppliers. A linear programming model is proposed to describe the problem, where multiple components can be assembled within a planning horizon of one to twelve months. The model involves the supply of various components from a set of suppliers and allocation of assembled products to customers. In real world problems practical situations are often not well-defined and thus can not be described precisely. Therefore this model is transformed into the fuzzy models with flexibility in the objective function, in the market demand, and in the available capacity of resources. The main objective is to construct a procurement-assembly plan enabling it to minimize its costs while satisfying the customers' demand over a given planning horizon in such a way as to hedge against uncertainty. Finally, the proposed model is tested using a case of supply chain from the golf club industry. Sensitivity analyses are also conducted on various parameters to gain insight into the proposed model. Numerical case demonstrates that the proposed fuzzy model can provide a better and more flexible way of representing the problem for the considered industry.
引用
收藏
页码:243 / 253
页数:11
相关论文
共 50 条
  • [1] A fuzzy programming approach for supply chain network design
    Ji, Xiaoyu
    Zhao, Xiande
    Zhou, Deming
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2007, 15 (02) : 75 - 87
  • [2] Modeling the supply chain: A fuzzy linear optimization approach
    Ates, Nufer Yasin
    Cevik, Sezi
    APPLIED ARTIFICIAL INTELLIGENCE, 2006, : 321 - +
  • [3] Supply chain planning under uncertainty: a fuzzy linear programming approach
    Peidro, David
    Mula, Josefa
    Poler, Raul
    2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, : 1148 - 1153
  • [4] Fuzzy Programming Approach to an Environmental Supply Chain Network Design Problem
    Ozceylan, Eren
    Pehlivan, Nimet Yapici
    Paksoy, Turan
    JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 2015, 25 (01) : 81 - 103
  • [5] CEMENT SUPPLY CHAIN PLANNING UNDER UNCERTAINTY: A FUZZY LINEAR PROGRAMMING APPROACH
    Yenradee, Pisal
    Kaorapapong, Chatdanai
    ICIM 2010: PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON INDUSTRIAL MANAGEMENT, 2010, : 139 - 145
  • [6] Fuzzy multi-objective linear programming approach for optimising a closed-loop supply chain network
    Ozceylan, Eren
    Paksoy, Turan
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (08) : 2443 - 2461
  • [7] A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment
    Peidro, David
    Mula, Josefa
    Jimenez, Mariano
    del Mar Botella, Ma
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 205 (01) : 65 - 80
  • [8] FUZZY LINEAR PROGRAMMING FOR SUPPLY CHAIN PLANNING UNDER UNCERTAINTY
    Peidro, David
    Mula, Josefa
    Poler, Raul
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2010, 9 (03) : 373 - 392
  • [9] Implications of personalization offers on demand and supply network design: A case from the golf club industry
    Poulin, M
    Montreuil, B
    Martel, A
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 169 (03) : 996 - 1009
  • [10] A mathematical programming approach to supply chain models with fuzzy parameters
    Chen, SP
    Chang, PC
    ENGINEERING OPTIMIZATION, 2006, 38 (06) : 647 - 669