|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 5 van 10 gevonden artikelen
| Titel: |
Metaheuristics for the Order Batching Problem in Manual Order Picking Systems |
| Auteur: |
Sebastian Henn Sören Koch Karl F. Doerner Christine Strauss Gerhard Wäscher |
| Verschenen in: |
Business research |
| Paginering: | Jaargang 3 (2010) nr. 1 pagina's 82-105 |
| Jaar: |
2010 |
| Inhoud: |
In manual order picking systems, order pickers walk or drive through a distribution warehouse in order to collect items which are requested by (internal or external) customers. In order to perform these operations efficiently, it is usually required that customer orders are combined into (more substantial) picking orders of limited size. The Order Batching Problem considered in this paper deals with the question of how a given set of customer orders should be combined such that the total length of all tours is minimized which are necessary to collect all items. The authors introduce two metaheuristic approaches for the solution of this problem: the first one is based on Iterated Local Search; the second on Ant Colony Optimization. In a series of extensive numerical experiments, the newly developed approaches are benchmarked against classic solution methods. It is demonstrated that the proposed methods are not only superior to existing methods but provide solutions which may allow distribution warehouses to be operated significantly more efficiently. |
| Uitgever: |
Verband der Hochschullehrer für Betriebswirtschaft e.V. (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 5 van 10 gevonden artikelen
| << vorige | volgende >> |