Abstract
Since distribution activities have great importance for firms, supply management is a widely studied concept in many sectors. This study demonstrates an application of a Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). The problem is in the form of a fixed destination multi depots visited by multi-travelling salesmen and the distance-travel time matrix is assumed to be asymmetric. The objective of the problem is to minimize the longest route time of each vehicle. This is achieved by developing a mixed-integer linear programming model (MILP) for the problem. Additionally, since the problem is NP-hard, a general heuristic method is developed to solve the problem for larger instances in negligible computational times. Results show that the balance between the individual route times of the vehicles is provided and the time window limit is ensured. The paper also discusses the results and presents concluding remarks.
| Original language | English |
|---|---|
| Title of host publication | Digitizing Production Systems - Selected Papers from ISPR 2021 |
| Editors | Numan M. Durakbasa, M. Güneş Gençyılmaz |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 653-664 |
| Number of pages | 12 |
| ISBN (Print) | 9783030904203 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
| Event | International Symposium for Production Research, ISPR2021 - Virtual, Online Duration: 7 Oct 2021 → 9 Oct 2021 |
Publication series
| Name | Lecture Notes in Mechanical Engineering |
|---|---|
| ISSN (Print) | 2195-4356 |
| ISSN (Electronic) | 2195-4364 |
Conference
| Conference | International Symposium for Production Research, ISPR2021 |
|---|---|
| City | Virtual, Online |
| Period | 7/10/21 → 9/10/21 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- 2opt algorithm
- Capacitated vehicle routing problem
- Heuristics
- MDMTSP
- Min-Max mTSP
- Mixed-integer linear programming
- Multi depot
- Multi-travelling salesman problem
- Time windows
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