Abstract
Short-run statistical process control (SPC) is a tool for controlling the processes of manufacturing complex parts. For variable data, it can reduce the number of control charts to just two regardless of the number of quality characteristics per part. However, the length of short-run control charts is increased by a factor equal to the number of quality characteristics. If parts are complex with many quality characteristics, such charts quickly become busy and difficult to interpret. Also, short-run charts are prone to misinterpretation, particularly if the number of quality characteristics exceeds seven. To assess process capability of a quality characteristic to meet bilateral tolerances, a set of four capability indices is required. A complex part with many quality characteristics could have four times as many capability indices. Keeping track of a large number of capability indices is burdensome.In this article, a technique is described to modify nominal/target charts that do not increase the length of control charts regardless of the number of quality characteristics. Also, if all quality characteristics differ in nominal but have the same tolerance, capability indices for all quality characteristics can be combined into one set of four indices. A case study is presented where the proposed technique is implemented.
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