Name
Abstract | ||
|---|---|---|
We focus on planning transportation operations within a blood sample supply chain, which comprises clinics and a laboratory. Specifically, the main goal of this study is to obtain the optimal number of vehicles to be deployed and the scheduling of the pickup process. First, we formulate a mixed-integer programming (MIP) problem. Next, we develop a heuristic scheme composed of two heuristic algorithms and numerical search, and a new genetic algorithm. In an extensive numerical study, based on the data from a real-life blood sample collection process, we illustrate the potential of the new heuristic scheme. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1111/itor.12354 | INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH |
Keywords | Field | DocType |
optimization, blood samples collection, MIP, tabu search, genetic algorithm | Mathematical optimization,Heuristic,Computer science,Scheduling (computing),Supply chain,Pickup,Tabu search,Genetic algorithm,Operations management | Journal |
Volume | Issue | ISSN |
25 | 1 | 0969-6016 |
Citations | PageRank | References |
1 | 0.37 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Elalouf | 1 | 22 | 5.99 |
| Dmitry Tsadikovich | 2 | 1 | 1.72 |
| Sharon Hovav | 3 | 1 | 0.70 |