优化资源受限的车队选择性维护与异步维护中断

Optimising resource-constrained fleet selective maintenance with asynchronous maintenance breaks

International Journal of Production Research · 2024
被引 14
ABS 3

中文导读

研究了在异步维护中断和资源受限条件下,如何优化车队选择性维护计划,通过数值实验揭示了维护时机、质量与资源消耗之间的权衡,帮助维护人员在预算和窗口内获得最佳系统性能。

Abstract

This paper offers a novel and significant extension of the Fleet Selective Maintenance Problem (FSMP) by considering asynchronous maintenance breaks and resource-constrained maintenance planning. This constitutes a significant shift from the conventional focus on synchronous breaks for the FSMP formulated to plan maintenance for fleets of mission-critical systems. This paper establishes a theoretical link between the Selective Maintenance Problem (SMP) and the Resource Constrained Project Scheduling Problem (RCPSP). The proposed FSMP formulation for asynchronous breaks is more general and versatile in adapting to a broad spectrum of operational constraints and resource scarcities. Numerical experiments are conducted that highlights the trade-offs between the timing and quality levels of maintenance activities and the consumption of resources that maintenance planners can make to obtain the best system performance for the budget and maintenance windows available.

车队维护资源约束选择性维护问题项目调度