Ops 571 Week 5
Week 5- Process Improvement Plan
Tricshone Jiles OPS 571
April 4, 2012
Professor Holly Hickman
Overview Process control is a major factor in ensuring that a process is working to its maximum potential. Sometimes process control means that one must conduct research to see how a process improvement can be implemented. Process improvement normally results in adjusting and modifying particular tasks or steps in a process to make them run more efficiently and smoothly. According to Chase, Jacobs, and Aquilliano, it is very important to put metrics in place so that you can determine if improvements are needed for a particular process (Chase, Jacobs, and Aquilliano, 2006). Over the last five weeks, I have observed the task of getting ready for work. After collecting data for analysis, I have enough information to develop a process improvement plan. In this paper, the control limits will be reviewed and any applicable seasonal factors that could impact the historical data will be discussed. Control Limits In an article in the Journal of Science and Technology, a control chart is described as “a statistical devise used for the study and control of a repetitive process” (Radhakrishnan and Balamurugan, 2010, p 1052). The control chart is a tool used with 6 sigma to look at ways to improve the performance of a particular process. They basically let management know when they should adjust a process or when we should leave it alone. It has upper specification limits (USL) that are used to identify the maximum amount of that could give acceptable performance. Also there is the lower specification limit (LSL), which identifies the lowest amount that could give acceptable performance of the process. The USL and LSL are also known as the control limits that are either 3 deviations above the mean or 3 deviations below it (Chase, Jacobs, and Aquilliano, 2006). In developing a control chart for the process for getting ready for work, one
Tricshone Jiles OPS 571
April 4, 2012
Professor Holly Hickman
Overview Process control is a major factor in ensuring that a process is working to its maximum potential. Sometimes process control means that one must conduct research to see how a process improvement can be implemented. Process improvement normally results in adjusting and modifying particular tasks or steps in a process to make them run more efficiently and smoothly. According to Chase, Jacobs, and Aquilliano, it is very important to put metrics in place so that you can determine if improvements are needed for a particular process (Chase, Jacobs, and Aquilliano, 2006). Over the last five weeks, I have observed the task of getting ready for work. After collecting data for analysis, I have enough information to develop a process improvement plan. In this paper, the control limits will be reviewed and any applicable seasonal factors that could impact the historical data will be discussed. Control Limits In an article in the Journal of Science and Technology, a control chart is described as “a statistical devise used for the study and control of a repetitive process” (Radhakrishnan and Balamurugan, 2010, p 1052). The control chart is a tool used with 6 sigma to look at ways to improve the performance of a particular process. They basically let management know when they should adjust a process or when we should leave it alone. It has upper specification limits (USL) that are used to identify the maximum amount of that could give acceptable performance. Also there is the lower specification limit (LSL), which identifies the lowest amount that could give acceptable performance of the process. The USL and LSL are also known as the control limits that are either 3 deviations above the mean or 3 deviations below it (Chase, Jacobs, and Aquilliano, 2006). In developing a control chart for the process for getting ready for work, one
References: Chase, R. B., Jacobs, F. R., & Aquilano, N. J. (2006) Operations management for competitive advantage (11th ed). New York: McGraw Hill/Irwin. Lahti, T. A., Leppämäki, S., Lönnqvist, J., & Partonen, T. (2008). Transitions into and out of daylight saving time compromise sleep and the rest-activity cycles. BMC Physiology, 81. doi:10.1186/1472-6793-8-3 Landauer E. Clear Up Chart Confusion. Quality [serial online]. June 2000;39(6):42. Available from: Business Source Complete, Ipswich, MA. Accessed April 4, 2012. Radhakrishnan, R. R., & Balamurugan, P. P. (2010). Six sigma based exponentially weighted moving average control chart. Indian Journal Of Science & Technology, 3(10), 1052-1055.