Partner selection in a manufacturing virtual enterprise based on intuitionistic fuzzy sets

被引：0
作者：
Huang, Bin [1 ]
Chen, Liang [1 ]
机构：
[1] College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou
来源：
International Journal of Manufacturing Technology and Management | 2014年 / 28卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Intuitionistic fuzzy sets; Particle swarm optimisation; Partner selection; PSO; Virtual enterprises;
D O I：
10.1504/IJMTM.2014.066694
中图分类号：
学科分类号：
摘要：
In this paper, a new method based on intuitionistic fuzzy sets is proposed to solve the partner selection problem in a manufacturing virtual enterprise. Based on the concept of average delivery time satisfaction degree, the formulated partner selection problem is interpreted so as to maximise the score of average delivery time satisfaction degree. The model takes into account the factors of average delivery time satisfaction degree, due date, cost and the precedence of tasks. To solve the problem, an improved particle swarm optimisation (PSO) algorithm is proposed. Finally, the simulation of a numerical example and comparisons with the standard PSO algorithm demonstrate that the improved PSO algorithm can effectively improve the searching quality, and the method is effective. Copyright © 2014 Inderscience Enterprises Ltd.
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页码：349 / 362
页数：13
相关论文
共 32 条
  • [1] Atanassov K., Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20, 1, pp. 87-96, (1986)
  • [2] Brucker P., Resource-constrained project scheduling: Notation, classification, models, and methods, European Journal of Operational Research, 112, 1, pp. 3-41, (1999)
  • [3] Cao Q., Wang Q., Optimizing vendor selection in a two-stage outsourcing process, Computers & Operations Research, 34, 12, pp. 3757-3768, (2007)
  • [4] Cavusgil S.T., Evirgen C., Use of expert systems in international marketing: An application for co-operative venture partner selection, European Journal of Marketing, 31, 1, pp. 73-86, (1997)
  • [5] Chen J., Chen J.F., Study on revenue sharing contract in virtual enterprises, Journal of Systems Science and Systems Engineering, 15, 1, pp. 95-113, (2006)
  • [6] Chen S.M., Tan J.M., Handling multicriteria fuzzy decision-making problems based on vague set theory, Fuzzy Sets and Systems, 67, 2, pp. 163-172, (1994)
  • [7] Crispim J.A., De Sousa J.P., Partner selection in virtual enterprises, International Journal of Production Research, 48, 3, pp. 683-707, (2010)
  • [8] Ip W.H., Huang M., Yung K.L., Wang D., Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise, Computers & Operations Research, 30, 2, pp. 213-231, (2003)
  • [9] Ip W.H., Yung K.L., Wang D., A branch and bound algorithm for sub-contractor selection in agile manufacturing environment, International Journal of Production Economics, 87, 2, pp. 195-205, (2004)
  • [10] Jharkharia S., Shankar R., Selection of logistics service provider: An analytic network process (ANP) approach, Omega, 35, 3, pp. 274-289, (2007)
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