Simulation Optimization for MRO Systems Operations

Pai Liu (), Xi Zhang, Zhongshun Shi () and Zewen Huang ()
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Pai Liu: Department of Industrial Engineering & Management, Peking University, Beijing 100871, P. R. China
Xi Zhang: Department of Industrial Engineering & Management, Peking University, Beijing 100871, P. R. China
Zhongshun Shi: Department of Industrial Engineering & Management, Peking University, Beijing 100871, P. R. China
Zewen Huang: Department of Industrial Engineering & Management, Peking University, Beijing 100871, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2017, vol. 34, issue 02, 1-23

Abstract: In this paper, we address the scheduling issues in a class of maintenance, repair and overhaul systems. By considering all key characteristics such as disassembly, material recovery uncertainty, material matching requirements, stochastic routings and variable processing times, the scheduling problem is formulated into a simulation optimization problem. To solve this difficult problem, we developed two hybrid algorithms based on nested partitions method and optimal computing budged allocation technology. Asymptotic convergence of these two algorithms is proved and numerical results show that the proposed algorithms can generate high quality solutions which outperform the performance of many heuristics.

Keywords: Remanufacturing; stochastic routings; total weighted tardiness; simulation; nested partitions (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0217595917500038

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