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AuthorTuran, Hasan Huseyin
AuthorPokharel, Shaligram
AuthorSleptchenko, Andrei
AuthorElMekkawy, Tarek Y
AuthorAl-Khatib, Maryam
Available date2022-11-25T16:52:35Z
Publication Date2018
Publication NameICORES 2018 - Proceedings of the 7th International Conference on Operations Research and Enterprise Systems
ResourceScopus
Resource2-s2.0-85047951432
URIhttp://dx.doi.org/10.5220/0006632502720278
URIhttp://hdl.handle.net/10576/36671
AbstractWe discuss the design problem of a repair shop in a single echelon repairable multi-item spare parts supply system. The repair shop consists of several parallel multi-skilled servers, and storage facilities for the repaired items. The effectiveness of repair shops and the total cost of a spare part supply system depend highly on the design of repair facility and the management of inventory levels of the spare parts. In this paper, we concentrate on a design scheme known as pooling. A repair shop can be considered as a pooled structure if the spare parts can be divided into clusters such that each part type is unambiguously assigned to a single cluster (cell). Nonetheless, it is both an important and tough combinatorial optimization question to determine which type of spares to pool together. We propose a sequential solution heuristic to find the best pooled design by considering inventory allocation and capacity level designation of the repair shop. The numerical experiments show that the suggested solution approach has a reasonable algorithm run time and yields considerable cost reductions. Copyright 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
SponsorThis publication 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
PublisherSciTePress
SubjectHeuristic
Pooling
Repair Shop
Spare Part Logistics
TitleA pooling strategy for flexible repair shop designs
TypeConference Paper
Pagination272-278
Volume Number2018-January
dc.accessType Abstract Only


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