The previous studies on service resource scheduling for maintenance, repair and operation (MRO) ignore the diverse service processes from different complex equipment and the coordination of task scheduling and resource allocation, which is less realistic when multiple tasks exist. In this work, we propose an integrated scheduling model of distributed service resources for on-site MRO, which simultaneously considers different service processes, service teams and material resources. The MRO service process is decomposed into multiple subtasks with hierarchical relationships (dependency and independency). Within the duration of the subtask, all multi-skill technicians in service team stay together and material resources are delivered from service providers. Resource allocation and task scheduling are integrated to minimise the makespan, the excessive human resources and the cost performance index of material resources. Further, we introduce six classic multi-objective evolutionary algorithms (MOEAs) to solve the scheduling problem, in which a novel and practical encoding method mixed with integers and decimals is developed. The design-of-experiment (DOE) method is used to determine the optimal combination of crucial parameters. Finally, 20 benchmark instances of multiple MRO tasks are tested. Experiment results show MOEA/D-DU could obtain higher quality scheduling solutions with relatively low computational costs in the integrated scheduling model.

以往对维护、维修和运营（MRO）服务资源调度的研究忽略了来自不同复杂设备的多样化服务流程以及任务调度和资源分配的协调，在多个任务存在时不太现实。在这项工作中，我们提出了一种现场 MRO 分布式服务资源的集成调度模型，该模型同时考虑了不同的服务流程、服务团队和材料资源。MRO服务流程被分解为多个具有层次关系（依赖和独立）的子任务。在子任务的持续时间内，服务团队中的所有多技能技术人员都在一起，材料资源由服务提供商提供。集成资源分配和任务调度，最大限度地减少制造时间，人力资源过剩和物质资源的性价比指标。此外，我们介绍了六种经典的多目标进化算法（MOEA）来解决调度问题，其中开发了一种新颖实用的整数和小数混合编码方法。实验设计（DOE）方法用于确定关键参数的最佳组合。最后，测试了多个 MRO 任务的 20 个基准测试实例。实验结果表明，MOEA/D-DU在集成调度模型中能够以相对较低的计算成本获得更高质量的调度方案。其中开发了一种新颖实用的整数和小数混合编码方法。实验设计（DOE）方法用于确定关键参数的最佳组合。最后，测试了多个 MRO 任务的 20 个基准测试实例。实验结果表明，MOEA/D-DU在集成调度模型中能够以相对较低的计算成本获得更高质量的调度方案。其中开发了一种新颖实用的整数和小数混合编码方法。实验设计（DOE）方法用于确定关键参数的最佳组合。最后，测试了多个 MRO 任务的 20 个基准测试实例。实验结果表明，MOEA/D-DU在集成调度模型中能够以相对较低的计算成本获得更高质量的调度方案。