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Developing a location-inventory model under fuzzy environment
259 viewed

Developing a location-inventory model under fuzzy environment

Shavandi, H

Developing a location-inventory model under fuzzy environment

Shavandi, H ; Sharif University of Technology | 2012

259 Viewed
  1. Type of Document: Article
  2. DOI: 10.1007/s00170-012-3897-6
  3. Publisher: 2012
  4. Abstract:
  5. Nowadays, location of distribution centers integrated with inventory or transportation decision play an important role in optimizing supply chain management. Location-inventory models analyze the location and inventory policies in distribution network, simultaneously. Developing location-inventory models under fuzzy environment can enrich the model, and this is our approach in this article. We consider the demand as a fuzzy variable and formulate the problem using credibility theory in order to locate distribution centers (DCs) as well as determining inventory levels in DCs. The derived model belongs to nonlinear mixed integer programming problems, and we presented a genetic algorithm to solve it. Numerical results show that the performance of the proposed algorithm is reasonable
  6. Keywords:
  7. Distribution system ; Location ; Credibility theory ; Distribution centers ; Distribution systems ; Fuzzy environments ; Fuzzy variable ; Inventory levels ; Inventory management ; Inventory policies ; Non-linear mixed integer programming ; Numerical results ; Fuzzy logic ; Genetic algorithms ; Supply chain management ; Warehouses ; Inventory control
  8. Source: International Journal of Advanced Manufacturing Technology ; Volume 63, Issue 1-4 , 2012 , Pages 191-200 ; 02683768 (ISSN)
  9. URL: http://link.springer.com/article/10.1007%2Fs00170-012-3897-6