Analysis and Evaluation of Control Action End-State Impact on Manufacturing System Future Production

Abstract

Some control actions (e.g., scheduling overtime production during breaks to catch up throughput) in a serial production line will drive the system to different states at the end time of the actions (defined as the action end-state), and influence the system production in future time. In this paper, we analyze how a selected control action and its end-state will impact system future production. The concept of end-state recovery time and its properties are proposed to describe the pattern of this system future behavior change, and to identify the time it takes to achieve such future production impact. Analytical methods are established to calculate this end-state production impact and recovery time in clean case scenario. In addition, we investigate the end-state production impact in stochastic scenario, and obtain a closed-form solution to evaluate the robustness of the end-state with respect to disruption events. The end-state analysis and evaluation results are critical for assessing and selecting control actions to more quickly and effectively improve system future production, and to deliver robust performance against disruption events.

Keywords

• End-state
• future production impact
• manufacturing system control action
• recovery time
• robustness against disruption events