Optimisation of assembly plan through a three-stage integrated approach

  • Authors:
  • Ruey-Shun Chen;Kung-Yung Lu;Pei-Hao Tai

  • Affiliations:
  • Institute of Information Management, National Chiao-Tung University, Taiwan.;Institute of Information Management, National Chiao-Tung University, Taiwan.;Logistics Bureau, CSF, Taipei, Taiwan

  • Venue:
  • International Journal of Computer Applications in Technology
  • Year:
  • 2004

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Abstract

Assembly planning is commonly a tedious design procedure requiring a significant amount of manpower to obtain a feasible work plan. Poor assembly planning not only results in higher product cost and lower productivity but may also negatively impact the reliability, maintainability, and availability of a product during its life cycle. This study proposes a three-stage integrated approach with some heuristic working rules to assist the planner to develop a feasible assembly plan. In the first stage, Above Graph and transforming rules are used to create a correct Explosion Graph of the assembly models. In the second stage, a three-level relational model is developed to create a complete relational model graph and an incidence matrix. In the third stage, a genetic algorithm approach is used to generate and evaluate a near-optimal assembly sequence. An example of a military system is presented to demonstrate the feasibility of the proposed method.