Stability-Based Short-Term Capacity Requirement Planning under Uncertainty

Haruhiko Suwaa, Daisuke Moritab

aSetsunan University, 17-8 Ikedanaka-machi, Newagawa, Osaka 5728508, Japan

bTakachiho University, 2-19-1 Omiya, Suginami-ku, Tokyo 1688508, Japan

∗Haruhiko Suwa. Tel/fax: +81-72-839-9309.

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MRPII 45

Abstract

This paper proposes a newmethod of short-term capacity requirement planning (CRP) from the viewpoint of “stability”. The term stability refers to the higher predictability of a released capacity requirement plan (or a load plan), and also signi?es the robustness of a manufacturing process against internal/external uncertainties.

The objective of CRP mentioned in this study is to determine a stable allocation of each manufacturing resource to given operation orders with the aim of minimizing the probability that the resource requirement of each operation order exceeds the capacity of corresponding resource.

Through some computational simulations, it is demonstrated that the proposed CRP method is applicable as a short-term CRP method by applying it to a ?exible job-shop manufacturing system.

Keywords:

Capacity requirement planning; Schedule stability; Uncertainty; Resource-constrained project scheduling; Mathematical model