Joint Optimization of Maintenance and Spare Parts Inventory Strategies for Emergency Engineering Equipment Considering Demand Priorities

Xiaoyue Wang, Jingxuan Wang, Ru Ning () and Xi Chen
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Xiaoyue Wang: School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China
Jingxuan Wang: School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China
Ru Ning: School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China
Xi Chen: School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China

Mathematics, 2023, vol. 11, issue 17, 1-18

Abstract: To respond to emergencies in a timely manner, emergency engineering equipment has been an important tool to implement emergency strategies. However, random failures of the equipment may occur during operation. Therefore, appropriate maintenance and spare parts inventory strategies are crucial to ensure the smooth operation of the equipment. Furthermore, the urgency degree of emergencies varies in practice. Nevertheless, existing studies rarely consider the impact of urgency degree and demand priorities on the service order of the equipment. To bridge the research gaps, this paper establishes a joint optimization model of maintenance and spare parts inventory strategies for emergency engineering equipment considering demand priorities. The proposed model includes two types of emergency engineering equipment with different service rates. The more urgent demand can be fulfilled by the equipment with a higher priority. Corrective maintenance and spare parts inventory policies are simultaneously performed for the equipment. The Markov process imbedding method is utilized to derive the probabilistic indexes of the system. To maximize the system availability, the number of maintenance engineers and the spare parts inventory strategy is optimized via the construction of the joint optimization model. The optimal solution for the optimization problem is obtained using the branch-and-bound method. Finally, this study presents practical examples to verify the effectiveness of the model and methods.

Keywords: emergency engineering equipment; demand priority; maintenance strategy; spare parts inventory strategy; joint optimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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