Abstract
This paper investigates a multi-period integrated decision-making model for the heavy duty equipment maintenance involving disassembly, inspection and assembly with uncertain numbers of replaced parts within a time horizon. There are large numbers of subways cars exported from other countries and the maintenance is difficult to be conducted in Hong Kong (HK) due to the limited spaces, machinery and technical supporting team. Thus, the efficient maintenance planning is required to ensure the quality of transportation services. To resolve the problem, a deterministic mixed integer optimization model is developed to achieve integrated optimization of disassembly and assembly. The model minimizes the total operation cost consisting of purchasing cost and repair cost, subject to capacity constraints. A real-life case study from Mass Transit Railway (MTR) Hong Kong is presented to verify the proposed model.
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