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Statistical Control of Multiple-Stream Processes: A Shewhart Control Chart for Each Stream

Nora S. Meneces, Silvino A. Olivera, Carlos D. Saccone, Julio Tessore

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Abstract

Shewhart control charts for multiple stream processes (MSP) are studied in this article, including control limits, correlation influence, and average run lengths. Graphs are presented to aid in the design of control charts. Subgroups of one unit per stream or partial samples were taken. An example based on industry data is presented and analyzed to show the application and a comparison with other well-known methodologies for statistical control of MSP.

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What this paper is about

Shewhart control charts for multiple stream processes (MSP) are studied in this article, including control limits, correlation influence, and average run lengths. Graphs are presented to aid in the design of control charts. Subgroups of one unit per stream or partial samples were taken. An example based on industry data is presented and analyzed to show the application and a comparison with other well-known methodologies for statistical control of MSP.

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OpenAlex reports 20 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Shewhart control charts for multiple stream processes (MSP) are studied in this article, including control limits, correlation influence, and average run lengths. Graphs are presented to aid in the design of control charts. Subgroups of one unit per stream or partial samples were taken. An example based on industry data is presented and analyzed to show the application and a comparison with other well-known methodologies for statistical control of MSP.

Key concepts: Control chart, Shewhart individuals control chart, Statistical process control, Control limits, \bar x and R chart, Statistics, Control (management), Chart

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