A prototype system for short-term supply planning

Brian Wall, Paul Higgins, Jim Browne, Gerry Lyons

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

7 Citations (Scopus)

Abstract

Short-term supply planning is concerned with the anticipation of sharp deviations in actual customer demand, resulting in unseen loading of manufacturing plants, within the MPS planning horizon. A high level of accuracy in master production scheduling is normally achieved by effective collaboration of the production, distribution, sales and marketing functions of manufacturing industries. However, attemps to guarantee 100% on-time delivery, while maintaining minimum finished goods inventory, can create sharp fluctuations in near-term demand (especially in a volatile market environment) signals received by manufacturing plants. This paper presents a prototype supply planning system, which can be used to enhance the demand forecast within the MPS horizon, and addresses the difficulties with frequent re-scheduling and sharp fluctuations is near-term demand. The prototype combines expert system and decision support system technology in an integrated supply planners' workbench. The workbench functionality, technical specifications and architecture are presented, in addition to a discussion of the forecasting and rulesbase rationale.

Original languageEnglish
Pages (from-to)1-19
Number of pages19
JournalComputers in Industry
Volume19
Issue number1
DOIs
Publication statusPublished - Apr 1992

Keywords

  • Artificial intelligence
  • Decision support systems
  • Expert systems
  • Forecasting
  • Master production scheduling
  • Prototype
  • Rules base
  • Supply planning

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