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

Cathy H.Y. Lam, King Lun Tommy Choy, Sai Ho Chung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)972-983
Number of pages12
JournalJournal of Manufacturing Technology Management
Volume22
Issue number8
DOIs
Publication statusPublished - 9 Nov 2011

Keywords

  • Case-based reasoning
  • Cross-border supply chain
  • Decision support systems
  • Order fulfillment
  • Supply chain management
  • Warehouse operations

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Computer Science Applications
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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