Condition-based maintenance under performance-based contracting. (September 2017)

• Record Type: Journal Article
• Authors: Xiang, Yisha; Zhu, Zhicheng; Coit, David W.; Feng, Qianmei
• Is Part Of: Computers & industrial engineering. Volume 111(2017)
• Page Start: 391
• Page End: 402
• Publication Date: 2017-09
• Subjects: Condition-based maintenance -- Performance-based contracting -- Random effects -- Imperfect maintenance; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2017.07.035
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: Develop a CBM model under the novel performance-based contracting approach. Determine the optimal CBM policies given a performance-based contract. Allow CBM to be imperfect. Consider unit-specific random effects. Provide indicators for choosing the adequate policies according to different system characteristics. Abstract: In this paper, a new cost optimization model has been developed and demonstrated to determine cost-effective maintenance plans specifically for performance-based contracting. Maintenance, repair and overhaul (MRO) has become more critical in many industries as the global economy continues to be more service-based. Traditionally, the MRO services are performed under material-based contracts. A new support contracting approach, referred to as performance-based contracts, has emerged and received much attention in recent years. In this paper, we examine the impact of the performance-based contracts on maintenance decisions for repairable systems. We consider a stochastic degradation process that has substantial unit-specific heterogeneity. Periodic inspection/repair is implemented during field operations. Rewards for maintenance service providers are directly dependent on the average availability, and the goal of the maintenance providers is to maximize profit rates. Two benchmark models are developed for comparison purposes, namely cost-minimization and availability-maximization. Numerical examples and sensitivity analysis are provided to examine the effectiveness of the adopted profit-centric approach.