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)
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)
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. 534). In other words, a statistical
process control uses data, calculations, and charts to measure and improve the quality within 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 “parallel 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 above the mean, and the lower control limit represents the
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. 534). In other words, a statistical
process control uses data, calculations, and charts to measure and improve the quality within 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 “parallel 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 above the mean, and the lower control limit represents the
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Document Details
University
University of Phoenix
Subject
Operations Management