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AuthorTuran, Hasan Hüseyin
AuthorPokharel, Shaligram
AuthorElMekkawy, Tarek Y.
AuthorSleptchenko, Andrei
AuthorAl-Khatib, Maryam
Available date2020-08-18T08:34:43Z
Publication Date2019
Publication NameCommunications in Computer and Information Science
ResourceScopus
ISSN18650929
URIhttp://dx.doi.org/10.1007/978-3-030-16035-7_6
URIhttp://hdl.handle.net/10576/15620
AbstractAn effective spare part supply system planning is essential to achieve a high capital asset availability. We investigate the design problem of a repair shop in a single echelon repairable multi-item spare parts supply system. The repair shop usually consists of several servers with different skill sets. Once a failure occurs in the system, the failed part is queued to be served by a suitable server that has the required skill. We model the repair shop as a collection of independent sub-systems, where each sub-system is responsible for repairing certain types of failed parts. The procedure of partitioning a repair shop into sub-systems is known as pooling, and the repair shop formed by the union of independent sub-systems is called a pooled repair shop. Identifying the best partition is a challenging combinatorial optimization problem. In this direction, we formulate the problem as a stochastic nonlinear integer programming model and propose a sequential solution heuristic to find the best-pooled design by considering inventory allocation and capacity level designation of the repair shop. We conduct numerical experiments to quantify the value of the pooled repair shop designs. Our analysis shows that pooled designs can yield cost reductions by 25% to 45% compared to full flexible and dedicated designs. The proposed heuristic also achieves a lower average total system cost than that generated by a Genetic Algorithm (GA)-based solution algorithm. - 2019, Springer Nature Switzerland AG.
SponsorAcknowledgement. This research was made possible by the NPRP award [NPRP 7-308-2-128] from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the author[s].
Languageen
PublisherSpringer Verlag
SubjectGenetic algorithm
Heuristic
Pooling
Repair shop
Spare part logistics
TitleAn Efficient Heuristic for Pooled Repair Shop Designs
TypeConference Paper
Pagination102-118
Volume Number966
dc.accessType Abstract Only


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