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Market Demand Oriented Data-Driven Modeling for Dynamic Manufacturing System Control
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DOI：10.1109/TSMC.2014.2316268.png)
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摘要
En 中文
In this paper, a market demand driven modeling framework is developed. The market demand is modeled as an end-of-line virtual machine based on which the market demand dissatisfaction (MDD) can be measured as production loss using event-based analysis. A general Markovian continuous-flow model is developed for market demand-driven systems with multistage production networks combining manual and automatic processes. Machine failure bottlenecks (MF-BNs) and machine capacity bottlenecks (MC-BNs) are defined and identified based on event-based indicators. A supervisory control algorithm is integrated in the framework to reduce MDD and improve system productivity through identification and mitigation of MF-BNs and MC-BNs. Simulation-based analysis will also be utilized, and case studies are performed to validate the effectiveness of the modeling framework and the supervisory control policies.
Keyword:
Markovian continuous flow
modeling
multistage production system
supervisory control
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期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
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