Critical project planning and spare parts inventory management in shutdown maintenance

被引：1

作者：

Zhu, Sha ^{[1
]}

van Jaarsveld, Willem ^{[2
]}

Dekker, Rommert ^{[3
]}

机构：

[1] Department of Information & Organizations Management, ESCP Paris, 3 Rue Armand Moisant, Paris,75015, France

[2] Industrial Engineering & Innovation Sciences, Technische Universiteit Eindhoven, P.O. Box 513, Eindhoven,5600 MB, Netherlands

[3] Econometric Institute, Erasmus University Rotterdam, P.O. Box 1738, DR, Rotterdam,3000, Netherlands

来源：

Reliability Engineering and System Safety | 2022年 / 219卷

关键词：

Importance sampling - Costs - Economic and social effects - Heuristic methods - Plant shutdowns - Stochastic programming - Project management - Inventory control;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In the process industry, plant production is completely halted every so many years for large-scale maintenance comprising inspection, repair and overhaul. It is paramount that this shutdown maintenance is completed according to the planning, which requires timely availability of replacement parts. In this setting, we present a spare parts optimization model and algorithm that includes the cost-time trade-off and precedence constraints between maintenance activities. The objective is to balance between spare parts ordering cost and the expected project delay cost due to waiting for spare parts. Using two-stage stochastic programming, spare parts ordering policies are determined in the first stage and a detailed project schedule is developed in the second stage. We propose a sample average approximation with importance sampling and pruning of dominated activities to solve the problem, and demonstrate that this method solves large instances quickly. We also consider heuristics, e.g. the standard project management approach based on the widely used critical path method and two heuristics that draw from spare part inventory control literature. These heuristics give poor solutions. © 2021 Elsevier Ltd

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