Title
Integrated planning of spare parts and service engineers with partial backlogging
Abstract
In this paper, we consider the integrated planning of resources in a service maintenance logistics system in which spare parts supply and service engineers deployment are considered simultaneously. The objective is to determine close-to-optimal stock levels as well as the number of service engineers that minimize the total average costs under a maximum total average waiting time constraint. When a failure occurs, a spare part and a service engineer are requested for the repair call. In case of a stock-out at spare parts inventory, the repair call will be satisfied entirely via an emergency channel with a fast replenishment time but at a high cost. However, if the requested spare part is in stock, the backlogging policy is followed for engineers. We model the problem as a queueing network. An exact method and two approximations for the evaluation of a given policy are presented. We exploit evaluation methods in a greedy heuristic procedure to optimize this integrated planning. In a numerical study, we show that for problems with more than five types of spare parts it is preferable to use approximate evaluations as they become significantly faster than exact evaluation. Moreover, approximation errors decrease as problems get larger. Furthermore, we test how the greedy optimization heuristic performs compared to other discrete search algorithms in terms of total costs and computation times. Finally, in a rather large case study, we show that we may incur up to 27% cost savings when using the integrated planning as compared to a separated optimization.
Year
DOI
Venue
2017
10.1007/s00291-017-0473-3
OR Spectrum
Keywords
Field
DocType
Maintenance logistics, Queueing, Spare parts inventory, Field service, Approximate evaluation, Heuristic optimization
Heuristic,Economics,Mathematical optimization,Spare part,Communication channel,Greedy algorithm,Queueing theory,Integrated business planning,Total cost,Time constraint,Operations management
Journal
Volume
Issue
ISSN
39
3
0171-6468
Citations 
PageRank 
References 
1
0.36
17
Authors
5
Name
Order
Citations
PageRank
S. Rahimi-Ghahroodi110.36
Ahmad Al Hanbali215811.74
W. H. M. Zijm316223.24
j c w van ommeren4141.74
Andrei Sleptchenko58310.64