A bicriteria approach for order picking optimization problem in Warehouse
Authors:
- Daniel Kubek,
- Paweł Więcek
Abstract
Warehouse is a key element of logistics networks, regardless of the functions it performs. The efficient functioning of the storage process can significantly affect the efficiency of material flows throughout the entire logistics chain. The order picking process is an extremely important part of the warehouse process and its one of the most cost-intensive operations. It is estimated that the cost of order picking represents about 55% of the total warehouse operating costs. The main target of the paper is to present a bi-criteria picking routes optimization problem considering goods susceptibility stacking on picking device, expressed by products weight classes. The proposed model aims at minimizing the total travelling time and the picking time of handling activities during the picking process. The presented approach has been verified throughout a numerical example based on real data from the warehouse with manual picking order process. Additionally, an analysis of optimal Pareto solutions has been performed and the potential benefits of a multi-criteria approach in the considered issue highlighted.
- Record ID
- CUT8128c3bd427f4dac977e17d9cc5343e2
- Publication categories
- ; ;
- Author
- Pages
- 105-112
- Other elements of collation
- il.; Bibliografia (na s.) - 111-112; Oznaczenie streszczenia - Abstr.
- Book
- Čokorilo Olja Olja Čokorilo (eds.): ICTTE : International Conference on Traffic and Transport Engineering, September 27-28th, 2018 Belgrade, Serbia, 2018, Belgrade, City Net Scientific Research Center, ISBN 978-86-916153-4-5
- Keywords in English
- the travelling salesman problem, pick path optimization, order picking an optimization
- URL
- http://ijtte.com/article/132/Conference_Proceedings.html Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Additional fields
- Indeksowana w: Web of Science
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT8128c3bd427f4dac977e17d9cc5343e2/
- URN
urn:pkr-prod:CUT8128c3bd427f4dac977e17d9cc5343e2
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