A simulation-GA based model for production planning in precast plant

  • Authors:
  • Xiaofeng Zhai;Robert L. K. Tiong;Hans C. Bjornsson;David K. H. Chua

  • Affiliations:
  • Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Stanford University, Stanford, CA;National University of Singapore, Singapore

  • Venue:
  • Proceedings of the 38th conference on Winter simulation
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Planning plays an important role in precast production management. In practice, however, this work is primarily carried out on a rule-of-thumb basis. A specialized planning model based on simulation technique and genetic algorithm (GA) is presented in this paper for make-to-order precast production. A novel priority rule, the critical precast component (CP) rule, is established for mold considerations during simulation, and a bi-directional simulation is adopted to reduce excessive overtime and precast stock. On this basis, three simulation approaches are designed using different simulation heuristics and directions. To test the validity of the proposed model with different approaches, a planning experiment is carried out. By comparison, it is clear that the Simulation-GA based model using CP rule and bi-directional simulation can generate a satisfying resource plan and production schedule.