Name
Abstract | ||
|---|---|---|
•The design problem of a single repair shop in a spare part supply system is studied.•The joint problem of pooling, inventory allocation and capacity level designation is solved.•A novel sequential heuristic integrating queuing theory and K-median is developed.•Approach provides ∼11% and ∼34% cost reductions compared to fully flexible and dedicated designs, respectively.•The advantages of clustered design diminish with decreasing cross-training/server cost ratio. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cie.2018.08.032 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Spare part logistics,Repair shop,Pooling,K-median,Queuing approximation,Heuristic | Mathematical optimization,Heuristic,Spare part,Holding cost,Pooling,Engineering,Cluster analysis | Journal |
Volume | ISSN | Citations |
125 | 0360-8352 | 1 |
PageRank | References | Authors |
0.35 | 18 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hasan Hüseyin Turan | 1 | 10 | 5.22 |
| Andrei Sleptchenko | 2 | 83 | 10.64 |
| Shaligram Pokharel | 3 | 114 | 11.78 |
| Tarek ElMekkawy | 4 | 7 | 1.80 |