Abstract

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.

Highlights

  • Organizations engaged in manufacturing goods or providing services often rely on large quantities of capital assets subjected to frequent failures or functional losses

  • In this paper we assumed that these resources are subjected to decision choices and, for that reason, it was necessary to define a new type of component: a Shop or Line Replaceable Unit (SLRU), one that can be either a LRU or a Shop Replaceable Unit (SRU), depending on the maintenance resources deployed

  • The model proposed in this paper considers a LRU definition problem and introduces the acronym SLRU (Shop or Line Replaced Unit) to denote a component for which the decision on classification as SRU or LRU is a model output

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Summary

Introduction

Organizations engaged in manufacturing goods or providing services often rely on large quantities of capital assets (systems, equipment, machinery, tools, etc.) subjected to frequent failures or functional losses. Sometimes it is cost effective to repair the product upon failure, instead of buying a new one, and customers increasingly take total life cycle costs (LCC) into account in their purchasing decisions Many sectors face this situation: transportation (Saranga & Kumar, 2006), manufacturing, energy, defense (Cassady et al, 2001), communications and information technology, among others. The most often used one considers the capability of a particular operational unit to identify and extract a faulty part from its parent and replace it with a good one This capability is a function of the resources deployed at the site. In this paper we assumed that these resources are subjected to decision choices and, for that reason, it was necessary to define a new type of component: a Shop or Line Replaceable Unit (SLRU), one that can be either a LRU or a SRU, depending on the maintenance resources deployed.

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