Supply chain network design and integrated optimization based on preference and cooperation

被引:0
|
作者
Zhou B. [1 ]
Liu A. [1 ]
Zhao H. [1 ]
机构
[1] School of Management, Bohai University, Jinzhou
来源
| 1600年 / CIMS卷 / 23期
基金
中国国家自然科学基金;
关键词
Cooperative willingness; Decision preference; Integrated optimization; Supply chain network design;
D O I
10.13196/j.cims.2017.01.014
中图分类号
学科分类号
摘要
A three-echelon supply chain network design and integrated optimization was researched in centralized and decentralized decision model. To reflect the preference and cooperative behavior for decision-makers, the fuzzy multi-objective programming approach was proposed by considering three kinds of fuzzy operator. The influence of three fuzzy operators on system objectives' membership degree, function value and supply chain network configuration was investigated. The results indicated that weighted “max-min” operator might represent the key decision-makers' preference for goals in centralized decision model and “fuzzy and” operator could reflect member firms' cooperative willingness for objectives coordination in decentralized decision model. To balance desired values and assign different weights for multiple objectives, the modified “fuzzy and” operator was put forward by integrating aforementioned two operators' advantages. The modified “fuzzy and” operator reflected management thought of centralized decision-making and group negotiation, and could improve decision-making efficiency better. © 2017, Editorial Department of CIMS. All right reserved.
引用
收藏
页码:123 / 133
页数:10
相关论文
共 24 条
  • [11] Cui Y., Chen J., Xiao Y., Behavioral invenrory management: research overview and prospects, Journal of Management Science in China, 14, 6, pp. 96-108, (2011)
  • [12] Liu Y., Li L., Liu H., Behavioral supply chain mangement review, Journal of Central South University: Social Science, 17, 1, pp. 80-88, (2011)
  • [13] Deshpande P., Shukla D., Tiwari M., Fuzzy goal programming for inventory management: a bacterial foraging approach, European Journal of Operational Research, 212, 2, pp. 325-336, (2011)
  • [14] Pokharel S., A two objective model for decision making in a supply chain, International Journal of Production Economics, 111, 2, pp. 378-388, (2008)
  • [15] Subulan K., Tasan A., Baykasoglu A., Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming, Applied Mathematical Modelling, 39, 9, pp. 2661-2702, (2015)
  • [16] Selim H., Ozkarahan I., A supply chain distribution network design model: an interactive fuzzy goal programming-based solution approach, The International Journal of Advanced Manufacturing Technology, 36, 3, pp. 401-418, (2008)
  • [17] Balaman S., Selim H., A fuzzy multiobjective linear programming model for design and management of anaerobic digestion based bioenergy supply chains, Energy, 74, 5, pp. 928-940, (2014)
  • [18] Khalifehzadeh S., Seifbarghy M., Naderi B., A four-echelon supply chain network design with shortage: mathematical modeling and solution methods, Journal of Manufacturing Systems, 35, pp. 164-175, (2015)
  • [19] Sarrafha K., Rahmati S., Niaki S., Et al., A bi-objective integrated procurement, production, and distribution problem of a multi-echelon supply chain network design: a new tuned MOEA, Computers & Operations Research, 54, c, pp. 35-51, (2015)
  • [20] Govindan K., Jafarian A., Nourbakhsh V., Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic, Computers & Operations Research, 62, pp. 112-130, (2015)