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Designing a multi-echelon supply chain network: A car manufacturer case study

Khalaj, M. R ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.3233/IFS-141250
  3. Abstract:
  4. A multi-echelon supply chain design problem concerns the structure of the network and allocation of resources of the company to meet the demand forecast. This paper tries to design a multi-echelon supply chain network with five echelons including supplier, cross-dock, plant, distribution center and representative (customer). For this purpose, a mixed-integer mathematical model is developed to investigate the location of cross-docks, distribution centers, and also allocation between each pair of parties in order to minimize total cost of location and transportation. Due to the complexity of the model, a novel genetic algorithm is developed and applied on a real-world case study of Iran Khodro Company (IKCO) in Iran. Experimental results show the performance of the proposed Genetic Algorithm
  5. Keywords:
  6. Cross-dock location ; Distribution center location ; Genetic algorithm ; Multi-echelon supply chain ; Automobile manufacture ; Chains ; Complex networks ; Docks ; Genetic algorithms ; Heuristic algorithms ; Hydraulic structures ; Mathematical models ; Warehouses ; Car manufacturers ; Demand forecast ; Distribution centers ; Meta heuristic algorithm ; Multiechelon ; Novel genetic algorithm ; Supply chain design ; Supply chain network ; Supply chains
  7. Source: Journal of Intelligent and Fuzzy Systems ; Vol. 27, Issue. 6 , 2014 , pp. 2897-2914 ; ISSN 1875-8967
  8. URL: http://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs1250