Statistical process control (SPC) is one of the most important statistical tools for monitoring production processes. It can\nbe effectively designed and implemented when the process or product specifications are consecutively observed from a mass\nproduction condition. Normally, short-cycle productions do not have sufficient data to implement SPC. This research introduced\nhowto design and implement short-run control chart for batch production conditions.Monitoring critical specifications of supplied\nparts to automotive industry was proposed. The results revealed that unequal variables followed normal distribution and can be\nfluctuated over time for the purpose of monitoring multiple products for each product including multidimensions with unequal\nmeans and variances from the central line to control the chart. Out-of-control signals and nonrandom patterns can be recognized\non the developed short-run control chart accordingly.
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