Market Demand Oriented Data-Driven Modeling for Dynamic Manufacturing System Control

作者：Li Yang^*; Chang Qing; Brundage Michael P; Biller Stephan; Arinez Jorge; Xiao Guoxian

来源：IEEE Transactions on Systems Man Cybernetics-Systems, 2015, 45(1): 109-121.

DOI：10.1109/TSMC.2014.2316268

• Markovian continuous flow
• modeling
• multistage production system
• supervisory control

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.

• 出版日期2015-1