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Process Improvement Plan - Essay Example Control Chart for Laundry Process Graph between Sorting Time and Days days Control Chart in the above graph between sorting time and days of the week reflects declining trend of time in laundry over the days. Descriptive Statistics of the Laundry Plotting of days on x-axis and sorting time in seconds on the vertical axis is the basis of control charts. CL in the above graph shows the control limit whereas UCL denotes Upper CL and LCL refers to Lower CL within the range of 3?. PIP Steps for Laundry Process through SPC SPC provides statistical measurement of laundry process to apply controls in planning of the laundry process from analytics of data. PDSA cycle consists of the step to apply process improvement plan: (PDSA Cycle, 2007) Plan Variation of cloths distribution in drawer causes the variation in timing of sorting as evident in times measured for sorting in different weeks. Manual measurement of sorting also causes a change in sorting time as it is always approximate. Type of cloth changes in summer or winter season affects the processing time of sorting cloths. Do Segregation of cloths in bins through quick-sorter can minimize the sorting time. It will improve consistency of timings. I will apply appropriate labels on drawers to put clothes in the right bin. Applying labels further assist in arranging cloths in bins and reducing sorting time if clothes are labeled in categories of denim, cotton, delicate, etc. If I can place right cloths in the right category, it will reduce effort of sorting at the time of laundry. Study Study of laundry process for the weeks of observation provides steps of improvement. Control chart further provide insight regarding the impact of changes in laundry process. I study process and impact of changes across six weeks to apply corrective and preventive measurements to optimize the process of laundry for clean clothes in minimum time. Act Chase, Jacobs, & Aquilano (2006) suggest targeting for the next bottleneck after standardizing the process through reduction in bottleneck. Seasonal Factors affecting the Laundry Process Seasonal factors affect the sorting time of the laundry process as people wear different kind of cloths in winter, summer, or rain. Woolen cloths consume more time in operation of laundry than cotton cloths. Winter season also reduce agility of person that can indirectly affect the timing of laundry. Control Chart Excel is a useful tool for control chart that assists in data driven improvement through applying controls on the process. DMAIC (Define, measurement, analysis, improvement, and control) provides steps for improvement of quality (Chase, Jacobs, & Aquilano, 2006). The six week process of data collection and control measurement of laundry process sets the plan for continuous improvement across the week. Control Limits Aslup and Watson (1993) define the control limit of quality through application of empirical rules between the mean and standard deviation of collected data. The CL refers to mean of the data in the control chart and 3? deviation measures the upper and lower control limit of the chart (Chase, Jacobs, & Aquilano, 2006). Statistical distribution of data dispersion for normal population is shown in the following figure: (Chase, Jacobs, & Aquilano, 2006) 90% Confidence Interval (CI) follows the mathematical formula of ? - z*?/vn to ? + z*?/vn in which significant level is 0.10. Critical value of z for a significant level 0.10 = 1.645
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