| Autor: |
Ardjmand, Ehsan, Youssef, Eyad M., Moyer, Adam, II, William A. Young, Weckman, Gary R., Shakeri, Heman |
| Zdroj: |
International Journal of Logistics Systems and Management; 2020, Vol. 36 Issue: 1 p138-176, 39p |
| Abstrakt: |
In this study, a multi-objective order batching and picker routing model for minimising the total travel time and makespan in a put wall-based picking system is proposed. A put wall is a hardware composed of containers that is usually used as a sorting station. Put walls usually have limited capacity and can accommodate only a part of received orders at a time. Thus, in put wall-based picking systems, order batching and picker routing should be considered along with the scheduling of the orders on the put wall. To solve the problem, a genetic algorithm (GA), a coevolutionary genetic algorithm (COGA) and an archived multi-objective simulated annealing (AMOSA) are proposed. It is found that GA and COGA offer a more diverse set of solutions to the problem compared to AMOSA. |
| Databáze: |
Supplemental Index |
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