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Modeling and optimization of generic pull supply chain

Aminnayeri, M ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. Publisher: 2010
  3. Abstract:
  4. Nowadays pull system is widely used in many industries. In the recent decade, many researchers adopt pull system to supply chain and present preference of this system. In this paper, a general Pull system for a stochastic supply chain process will be adapted along with optimizing a Pull Stochastic Supply chain. This Supply Chain, SC, is used with combining CONWIP and KANBAN, the two famous pull systems, for controlling the SC. Under assumptions of stochastic demand rate, stochastic production and transportation times, and stochastic distributions for backlog cost, a simulation modeling is used. In optimization process, concerning supply chain complexity, a simulation optimization procedure is applied along with a combination of simulation software package and methahuristic algorithms such as, genetic and Guided Local Search, GLS, algorithms, which are more flexible to solve the problem. Finally, the superiority of this design is observed
  5. Keywords:
  6. Genetic algorithm ; Guided Local Search ; Stochastic process ; Supply chain ; Guided Local Search ; Modeling and optimization ; Optimization process ; Pull systems ; Simulation modeling ; Simulation optimization ; Simulation software package ; Stochastic demand ; Stochastic distribution ; Stochastic production ; Supply chain complexity ; Supply chain process ; Transportation time ; Computer simulation ; Computer software ; Engineers ; Genetic algorithms ; Optimization ; Random processes ; Stochastic systems ; Supply chain management ; Supply chains
  7. Source: Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010, 17 March 2010 through 19 March 2010, Kowloon ; 2010 , Pages 1738-1742 ; 9789881701282 (ISBN)
  8. URL: http://www.iaeng.org/publication/IMECS2010/IMECS2010_pp1738-1742.pdf