OPTIMAL SELECTION OF SAMPLING LOCATIONS AND C-CHART PARAMETERS
This paper presents a method for designing a statistical process central program over the attributes of a multi-stage discrete part manufacturing system. The objective of the program is to minimize the sum of the costs of bad quality, inspection, searching for special causes of variation, process adjustment, and reworking of rejected items. The costs are affected by two interacting levels of decision, macro and micro. The macro level selects the points in the process at which quality control is exercised, referred to here as quality control windows. The micro level determines the control chart parameters, namely frequency of sampling, the sample size, and the chart range.
statistical process control optimum allocation of inspection effort economic control chart parameters