Modeling and optimizing maintenance schedule for energy systems subject to degradation

  • Authors:

  • Tangbin Xia;Lifeng Xi;Xiaojun Zhou;Shichang Du

  • Affiliations:

  • State Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering & Logistics Management, Shanghai Jiao Tong University, Shanghai 200240, PR China;State Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering & Logistics Management, Shanghai Jiao Tong University, Shanghai 200240, PR China;State Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering & Logistics Management, Shanghai Jiao Tong University, Shanghai 200240, PR China;State Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering & Logistics Management, Shanghai Jiao Tong University, Shanghai 200240, PR China

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2012

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Abstract

In recent years, with the increasing investment on distributed energy system (DES), maintenance management has played an important role in improving the system performance. This paper aims to integrate the conception of the multiple attribute value theory and imperfect maintenance into an improved sequential preventive maintenance (PM) model for the DES subject to degradation. A model-iteration algorithm using a multi-attribute model (MAM) is developed to optimize the maintenance schedule cycle by cycle. The optimal PM interval for each cycle is obtained through MAM, by maximizing the equipment availability and minimizing the maintenance cost simultaneously. A case study is investigated to show that this sequential PM model is much more significant than conventional PM models. Finally, the sensitivity of the proposed method is investigated.