TY - BOOK

T1 - An approximate approach for the joint problem of level of repair analysis and spare parts stocking

AU - Basten, R.J.I.

AU - Heijden, van der, M.C.

AU - Schutten, J.M.J.

PY - 2011

Y1 - 2011

N2 - For the spare parts stocking problem, generally metric type methods are used in the
context of capital goods. Implicitly, a decision is assumed on which components to discard
and which to repair upon failure, and where to perform repairs. In the military world, this
decision is taken explicitly using the level of repair analysis (lora). Since the lora does
not consider the availability of the installed base, solving the lora and spare parts stocking
problems sequentially may lead to suboptimal solutions. We propose an iterative algorithm
to solve the two problems. We compare its performance with that of the sequential approach and a recently proposed, so-called integrated algorithm. The latter finds optimal solutions for two-echelon, single-indenture problems. In our experiment, we use a set of such problems, and a set of multi-echelon, multi-indenture problems, for which we achieve a cost reduction of 3% on average (35% at maximum) compared with the sequential approach. Compared with the integrated algorithm, the gap is only 0.6% on average (5% at maximum), while the maximum computation time falls from 3 hours to 2.5 minutes. In a case study, we achieve a cost reduction of 10% compared with the sequential approach.

AB - For the spare parts stocking problem, generally metric type methods are used in the
context of capital goods. Implicitly, a decision is assumed on which components to discard
and which to repair upon failure, and where to perform repairs. In the military world, this
decision is taken explicitly using the level of repair analysis (lora). Since the lora does
not consider the availability of the installed base, solving the lora and spare parts stocking
problems sequentially may lead to suboptimal solutions. We propose an iterative algorithm
to solve the two problems. We compare its performance with that of the sequential approach and a recently proposed, so-called integrated algorithm. The latter finds optimal solutions for two-echelon, single-indenture problems. In our experiment, we use a set of such problems, and a set of multi-echelon, multi-indenture problems, for which we achieve a cost reduction of 3% on average (35% at maximum) compared with the sequential approach. Compared with the integrated algorithm, the gap is only 0.6% on average (5% at maximum), while the maximum computation time falls from 3 hours to 2.5 minutes. In a case study, we achieve a cost reduction of 10% compared with the sequential approach.

M3 - Report

SN - 978-90-386-2496-9

T3 - BETA publicatie : working papers

BT - An approximate approach for the joint problem of level of repair analysis and spare parts stocking

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -