Optimized maintenance design for manufacturing performance improvement using simulation

  • Authors:
  • Ahad Ali;Xiaohui Chen;Ziming Yang;Jay Lee;Jun Ni

  • Affiliations:
  • Lawrence Technological University, Southfield, MI;Chongqing University, Chongqing, P.R. China;University of Michigan -- Ann Arbor, Ann Arbor, MI;University of Cincinnati, Cincinnati, OH;University of Michigan -- Ann Arbor, Ann Arbor, MI

  • Venue:
  • Proceedings of the 40th Conference on Winter Simulation
  • Year:
  • 2008

Quantified Score

Hi-index 0.01

Visualization

Abstract

This research presents optimized maintenance design using simulation to analyze the capability of auto part manufacturing production system. The integration of simulation and optimization is used to identify critical stations, an optimal system design and maintenance scheduling schemes and evaluates their effects on the overall system performance. Most emphasis is focused on the impact on system by individual station reliability and the fluctuation of maintenance availability. The proposed simulation and optimization for maintenance design is validated through real-life application. This simulation modeling and optimization could help for manufacturing performance improvement.