| Summary: | 碩士 === 國立臺灣科技大學 === 工業管理系 === 105 === For Industry 4.0, introducing predictive maintenance into production systems is an important policy. Predictive maintenance uses sensors and data analysis to monitor production systems so that maintenance could be performed before the system shutdown. This study considers a manufacturer who willing to make the predictive maintenance effort and an external contractor who can undertake maintenance activities. The objective of this model is to determine the optimal predictive maintenance effort to minimize total costs. To achieve channel coordination, we propose three incentive contracts: (i) maintenance cost subsidization contract; (ii) the uptime target and bonus contract; (iii) the uptime reward contract, which enhances the cooperation willingness of the contractor and decreases the costs of both parties, thus leading to the win-win situation. Moreover, all contracts have the ability to motivate contractor and manufacturer to be sophisticated and provide different options for allocating the additional profit yielded from channel coordination. We also discuss the feasibility of the contracts when the failure rate and maintenance capability could be improved. The result shows that the uptime target and bonus contract and the uptime reward contract can achieve channel coordination by satisfying specific conditions when the failure rate and maintenance capability are improved.
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