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OPS 571/Operations Management: Process Improvement Plan University of Phoenix

Development of a process improvement plan in operations management.

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    Improvement Plan 1 Process Improvement Plan OPS 571/Operations Management University of Phoenix Ashley Carr How can statistical process control be applied to improve daily tasks, such as preparing dinner, and what role do control limits, seasonal factors, and confidence intervals play in evaluating and enhancing the process? Please provide a detailed explanation and incorporate the relevant calculations and data analysis methods. (Word count: 500 - 600)

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    Improvement Plan 2 Process Improvement Plan A process involves routine steps with the goal of accomplishing a specific task. During week one, getting dinner on the table every night , in a timely manner was a strenuous process I wanted to spend less time doing. Data was collected daily and examined during week three, which indicated a bottleneck within the process. However, the theory of constraints conquered the bottleneck and the process for improvement began. Therefore, this paper will use statistical process control to explain control limits, seasonal factors, and confidence intervals using the data collected since week one. Statistical Process Control According to tech note eight, statistical process control, “ involves testing a random sample of output from a process to determine whether the process is producing items within a preselected range ” ( Chase, Jacobs, and Aquilano, 2006, p. 5 34 ) . In other words, a statistical process control uses data, calculations, and charts to measure and improve the quality with in a process. An objective of statistical process control is to implement a control chart to monitor the process’ changes by setting limits. Control Limits Control limits are defined as “p arallel lines (often separated by an average line or centerline) in a control chart that indicate the lower and upper limits for judging the significance of variations in the plotted data ” (BusinessDictionary, 2010, para. 1) . More specifically, a control chart is a graph drawn to show the behavior of a statistical distribution. As a general rule, the graph will contain a center line that represents the mean; the upper control limit represents the control , three degrees abov e the mean, and the lower control limit represents the

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