Mix-oriented manufacturing control (MOMC): a quasi-optimal procedure for dynamic scheduling control

Marco Cristofari; Franco Caron; Ernest L. McDuffie

doi:10.1117/12.294440

9 December 1997 Mix-oriented manufacturing control (MOMC): a quasi-optimal procedure for dynamic scheduling control

Marco Cristofari, Franco Caron, Ernest L. McDuffie

Proceedings Volume 3203, Architectures, Networks, and Intelligent Systems for Manufacturing Integration; (1997) https://doi.org/10.1117/12.294440
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States

Abstract

The total system throughput (ST) is one of the most important decision variables at the planning/scheduling phase of a manufacturing system. Material requirement planning (MRP) and master production schedule (MPS) are based on the assumption that ST is known. All the subsequent developments (e.g. jobs- release, system work-load, input-product mix, etc.) depends on such an assumption. If this assumption is incorrect, the production activity control (PAC) will not be able to satisfy the planned targets during the scheduling phase. Delays and bottlenecks will be unavoidable in the system. In case of random flexible manufacturing system (FMS) (or, in general, job-shop production), the measure of ST can not be evaluated a priori without running simulations or observing the actual flow of the operations in the system. The way entities enter the system (sequencing and percentage of the input products) effects the value of ST in such a way that estimation based on historical data are highly risky. The methodology proposed in this paper allows the scheduler to assess the analytical functions which link ST, and other output performance variables, to the input product mix (IPM). This way the robustness of the scheduling plan can be verified before the actual release of the jobs into the system.

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Marco Cristofari, Franco Caron, and Ernest L. McDuffie "Mix-oriented manufacturing control (MOMC): a quasi-optimal procedure for dynamic scheduling control", Proc. SPIE 3203, Architectures, Networks, and Intelligent Systems for Manufacturing Integration, (9 December 1997); https://doi.org/10.1117/12.294440

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KEYWORDS

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Control systems

Manufacturing

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