LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES

ABSTRACT Level of repair analysis (LORA) aims to determine the optimal repair policy for complex systems’ components. A repair policy is an a priori decision about which faulty components to discard or repair, and where these actions should take place. Traditionally, LORA models have assumed the maintenance network as pre-defined and identified the resources required to perform the maintenance at each facility as an output. In this paper, the maintenance network itself is an output rather than an input. Other advantages are the ability to deploy different types of resources at the operational level and to allow precise identification of the faulty component. We propose a mixed integer programming (MIP) formulation for the optimization problem, associated with a flow model. Experiments using a set of hypotheticals, but adequate for the purposes of the study, instances provide strong evidence that the formulation’s capabilities can lead to significant cost savings.

摘要 维修等级分析（Level of Repair Analysis, LORA）旨在确定复杂系统组件的最优维修策略。维修策略是指预先决定对哪些故障组件进行废弃或维修，以及这些操作应在何处开展。传统LORA模型通常假设维修网络为预先定义的结构，并将确定各设施开展维修所需的资源作为模型输出。本文则将维修网络本身作为模型输出而非输入。本研究的其他优势还包括：可在运营层面部署不同类型的资源，并能精准识别故障组件。针对该优化问题，我们提出了一种结合流模型的混合整数规划（Mixed Integer Programming, MIP）建模方法。通过一组虽为假设但足以满足研究需求的测试案例开展实验，结果充分证明，该建模方法能够带来显著的成本节约。