TY - JOUR
T1 - Critical project planning and spare parts inventory management in shutdown maintenance
AU - Zhu, Sha
AU - van Jaarsveld, Willem
AU - Dekker, Rommert
N1 - Funding Information:
Approval of the version of the manuscript to be published (the names of all authors must be listed).
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/3
Y1 - 2022/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85120349539&partnerID=8YFLogxK
U2 - 10.1016/j.ress.2021.108197
DO - 10.1016/j.ress.2021.108197
M3 - Article
AN - SCOPUS:85120349539
VL - 219
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
SN - 0951-8320
M1 - 108197
ER -