An application of a unified capacity planning system

Jalal Ashayeri, Willem Selen

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Purpose – This paper aims to present a unified approach for effective capacity management, with the flexibility to position the organization across differing market-orientations, anywhere from produce-to-stock to purchase-and-produce-to-order.
Design/methodology/approach – The unified planning system combines capacity management with the external market through the customer order decoupling point (CODP). The approach starts by determining the CODP, using commonality and effect-cause-effect analysis. The resulting CODP information is then used to determine the optimal master production schedule (medium-term), as well as the detailed schedule (short-term) at the bottleneck resource, using mathematical programming; to support decisions across different planning horizons in an integrated fashion.
Findings – This unified approach was applied to an electronics manufacturing company in the Netherlands. The unified capacity planning system not only reduces the number of capacity problems to be solved by production planners, but also more importantly enhances the organization’s capabilities to respond faster and more focused to market changes.
Research limitations/implications – Further studies may test the robustness of this planning approach with additional empirical evidence.
Practical implications – The structured unified approach provides a comprehensive solution to a complex capacity management problem, in competitive environments where organizations have to be able to respond to dynamically changing market conditions, given the process choices within which they are operating.
Originality/value – Provides a unified approach for effective capacity management.
Original languageEnglish
Pages (from-to)917-937
Number of pages21
JournalInternational Journal of Operations and Production Management
Volume25
Issue number9
DOIs
Publication statusPublished - 2005

Keywords

  • production planning
  • market orientation
  • mathematical programming
  • electronics industry
  • productive capacity

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