A genetic algorithm approach on a facility layout design problem with aisles

  • Authors:

  • Gengui Zhou;Mujing Ye;Zhenyu Cao;Feng Ye

  • Affiliations:

  • College of Business Administration, Zhejiang University of Technology, Hangzhou, P.R. China;Department of Industrial and Manufacturing Engineering, The Pennsylvania State University;College of Business Administration, Zhejiang University of Technology, Hangzhou, P.R. China;College of Business Administration, Zhejiang University of Technology, Hangzhou, P.R. China

  • Venue:
  • ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
  • Year:
  • 2006

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Abstract

Facility layout problems concerning space layout optimization have been investigated in depth by researchers in many engineering fields. In this paper, a particular facility layout problem with aisles and two objectives at minimizing total cost of material handling and maximizing adjacent requirement between resources is discussed and formulated as an nonlinear mixed-integer programming. To solve the NP-hard problem, a multiple objective genetic algorithm approach with local search method is developed. The application on a practical FLP case and numerical analysis show the effectiveness and efficiency of the proposed method on FLPs.