A decision support system for the multi-client storage location assignment problem
by Juan J. Rojas-Reyes; Jairo R. Montoya-Torres; Elyn L. Solano-Charris
International Journal of Logistics Systems and Management (IJLSM), Vol. 42, No. 1, 2022

Abstract: In logistics systems, improvement strategies are designed and implemented to maximise the operations' performance and to integrate the supply chain. This article proposes a decision support system (DSS) for solving the storage location assignment problem in a multi-client environment (SLAP-MC). The proposed DSS allows to improve the warehouse administration system and specifically the space allocation, for which a mathematical model and solution methods based on the iterated local search (ILS) and the greedy randomised adaptive search procedure (GRASP), are implemented and incorporated. The proposed DSS aims to minimise the order picking transport time, improve decision-making and automate storage operations system activities.

Online publication date: Mon, 27-Jun-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Logistics Systems and Management (IJLSM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com