Abstract
The article addresses a Heterogeneous Automated Guided Vehicle (AGV) Routing Problem that distributes given jobs to one of the AGVs and finds a route for each AGV while minimizing the sum of tour costs. AGVs are heterogeneous as the cost of traveling between any two locations varies depending on the type of AGV. The problem is a generalization of multiple heterogeneous asymmetric Hamiltonian path problem and a primal-dual heuristic has been developed. Despite the complexity of the problem, the computational results show that the proposed algorithm produces good quality solutions within a relatively short computation time.
| Original language | English |
|---|---|
| Pages (from-to) | 795-801 |
| Number of pages | 7 |
| Journal | International Journal of Precision Engineering and Manufacturing |
| Volume | 18 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2017 Jun 1 |
Bibliographical note
Publisher Copyright:© 2017, Korean Society for Precision Engineering and Springer-Verlag GmbH Germany.
Keywords
- Automated guided vehicles
- Heuristic
- Job distribution
- Multiple vehicle routing
ASJC Scopus subject areas
- Mechanical Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering