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A decision support system to facilitate warehouse order fulfillment in cross‐border supply chain

A decision support system to facilitate warehouse order fulfillment in cross‐border supply chain Purpose – The purpose of this paper is to provide a decision support system (DSS) to enhance the performance of cross‐border supply chain, the goal of which is to improve order planning and fulfill customer orders within the warehouse. Design/methodology/approach – An intelligent DSS, namely order picking planning system (OPPS) with the adoption of case‐based reasoning, is proposed to support managers in making appropriate order fulfilling decisions when an order involves cross‐border activities. Similar cases in the past are retrieved and adapted in reference to the new order. A case study is then conducted to illustrate the feasibility and effectiveness of the system. Findings – Recommendations are given to replace the objective decision‐making process in cross‐border supply chain with the help of the DSS. The warehouse order planning time has been reduced and useful information from past order records can be applied to solve new problems. Originality/value – With the increasing demand for material sourcing across different places, cross‐border supply chain has raised the concern for manufacturers to seek lower material and rental costs. The focus on warehouse operations can increase efficiency in order delivery by considering cross‐border requirements. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Manufacturing Technology Management Emerald Publishing

A decision support system to facilitate warehouse order fulfillment in cross‐border supply chain

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Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
1741-038X
DOI
10.1108/17410381111177430
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to provide a decision support system (DSS) to enhance the performance of cross‐border supply chain, the goal of which is to improve order planning and fulfill customer orders within the warehouse. Design/methodology/approach – An intelligent DSS, namely order picking planning system (OPPS) with the adoption of case‐based reasoning, is proposed to support managers in making appropriate order fulfilling decisions when an order involves cross‐border activities. Similar cases in the past are retrieved and adapted in reference to the new order. A case study is then conducted to illustrate the feasibility and effectiveness of the system. Findings – Recommendations are given to replace the objective decision‐making process in cross‐border supply chain with the help of the DSS. The warehouse order planning time has been reduced and useful information from past order records can be applied to solve new problems. Originality/value – With the increasing demand for material sourcing across different places, cross‐border supply chain has raised the concern for manufacturers to seek lower material and rental costs. The focus on warehouse operations can increase efficiency in order delivery by considering cross‐border requirements.

Journal

Journal of Manufacturing Technology ManagementEmerald Publishing

Published: Oct 25, 2011

Keywords: Supply chain management; Decision support systems; Warehouse operations; Cross‐border supply chain; Order fulfillment; Case‐based reasoning

References