Production control of cyclic schedules with demand and process variability

Production control of cyclic schedules with demand and process variability

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Article ID: iaor1996146
Country: United States
Volume: 4
Issue: 2
Start Page Number: 145
End Page Number: 162
Publication Date: Mar 1995
Journal: Production and Operations Management
Authors: ,
Keywords: production, markov processes
Abstract:

Cyclic scheduling has been primarily studied under deterministic assumptions. In practice, stochastic variability exists and must be taken into account. In this paper, the descriptive Markov chain model of Bowman and Muckstadt is extended to cover demand variability. A production control algorithm is developed using cyclic time and task criticality estimates from the model. Application of the algorithm to a case study shows that material release and anticipatory inventory buildup decisions can be effective in reducing inventory holding and overtime costs when significant demand variability is present.

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