Conference proceeding
Decentralized Bilevel Optimization for Supplier Selection Problem with Multiple Items under Fuzzy Random Environment
2014 Seventh International Joint Conference on Computational Sciences and Optimization, pp 661-665
Jul 2014
Abstract
The aim of this paper is to consider the supplier selection problem under a hierarchical decision system. With consideration of the inherent uncertainty, An decentralized bilevel optimization model under fuzzy random environment is developed for tracking a supplier selection problem with multiple items. For solving the bi-level programming model, an interactive fuzzy programming technique and an improved particle swarm optimization based on fuzzy random simulation (IPSO based FRS) are designed as a combined solution method. Finally, the results and comparisons analysis of a case study are presented to demonstrate the practicality and efficiency of the optimization method.
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Details
- Title
- Decentralized Bilevel Optimization for Supplier Selection Problem with Multiple Items under Fuzzy Random Environment
- Creators
- Yan Tu - Sichuan UniversityXiaoyang Zhou - Shaanxi Normal UniversityBenjamin Lev - Drexel University
- Publication Details
- 2014 Seventh International Joint Conference on Computational Sciences and Optimization, pp 661-665
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000363987800146
- Scopus ID
- 2-s2.0-84911446222
- Other Identifier
- 991019168809104721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Operations Research & Management Science