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Product Wheels in Manufacturing Operations Planning

In: Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Author

Listed:
  • J. Bennett Foster

    (DuPont Company)

  • Peter L. King

    (Lean Dynamics, Inc)

Abstract

This chapter discusses a production planning method known as “product wheels.” We define “product wheels,” discuss how they are used, and show the value the technique provides to production operations. We look at the importance of product families in planning production, particularly where set-up costs and time are critical. We examine the question of product sequencing—and why that aspect of manufacturing planning is seldom as difficult and data intensive as the mathematics (e.g., traveling salesman problem) might imply. The chapter analyzes how variants of Economic Order Quantity (“EOQ”) and “EOQ with Joint Replenishment” [E.A. Silver heuristic (1976)] can be used (balancing costs of cycle stock inventory versus transitions) to get early results that lead us towards the formulation of a cost-effective wheel. We also look at the problem of balancing wheels for capacity feasibility when product campaigns cycle at different frequencies.

Suggested Citation

  • J. Bennett Foster & Peter L. King, 2016. "Product Wheels in Manufacturing Operations Planning," International Series in Operations Research & Management Science, in: Ghaith Rabadi (ed.), Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling, edition 1, chapter 0, pages 243-262, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-26024-2_13
    DOI: 10.1007/978-3-319-26024-2_13
    as

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