Simulation applications in the automotive industry: sequencing production on an assembly line using goal chasing and user defined algorithm

  • Authors:
  • Arvind Mane;Saeid Nahavandi;Jingxin Zhang

  • Affiliations:
  • Deakin University, Geelong, Victoria;Deakin University, Geelong, Victoria;Deakin University, Geelong, Victoria

  • Venue:
  • Proceedings of the 34th conference on Winter simulation: exploring new frontiers
  • Year:
  • 2002

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Abstract

An Australian automotive component company plans to assemble and deliver seats to customer on just-in-time basis. It plans to assemble various seat types on one assembly line. Mixed-Model sequencing is very important if a company has to assemble seats in just-in-time environment. Toyota Motor Company's goal chasing algorithm I and a user defined algorithm are used sequence seats on assembly line. Discrete event simulation software is used to model the assembly operations of seat plant. Both algorithms are programmed to generate a sequence for the seat plant. Model results show both algorithms can sequence seats on the assembly line and each algorithm has its advantages and disadvantages.