An integrated model for joint determination of production run length, adaptive control chart parameters and maintenance policy

ABSTRACT The most existing models for determining the production run length assume that the production process is perfect, which means quality and machine deterioration never happen. To be closer to more realistic situation, an imperfect process is considered in which an adaptive control chart with variable sampling interval is applied to monitor the quality characteristic of process. In addition, to reduce the failure rate of machine, two kinds of maintenance including reactive maintenance and preventive maintenance are considered. Then, the particle swarm optimization algorithm is used to minimize the total cost per production cycle subject to statistical quality constraints. Also a comparative study is accomplished to illustrate the effect of employing control chart with variable sampling interval on total cost. Finally a sensitivity analysis is conducted to extend insights into the expected total cost per production cycle.

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