Timing control points via simulation for production systems under random disturbances

Abstract

The paper deals with the problem of production control with disturbances. The problem is applied to semi-automated production systems where the advancement of the process cannot be measured continuously but only in preset control (inspection) points. It is assumed that the production process can be simulated within a time interval of arbitrary size. Given the target amount needed, the due date, the routine control point, the actual accumulated production observed at that point, and the preset confidence probability (chance constraint) of meeting the deadline on time, the decision-maker has to determine the next control point. On-line control has to be carried out as rarely as possible but without missing the moment when the tendency to deviate from the planned trajectory may endanger meeting the due date on time under a chance constraint. Determining the next control point is carried out via simulation with a constant time step. At each intermediate check-point, decision-making based on sequential statistical analysis has to be undertaken, either. (a) to proceed further and to examine the next check-point; or (b) to determine the check-point under consideration as the last moment before the production process deviates from its target subject to the chance constraint. Thus, the next routine control point is determined.