Polaroid Case

1849 WordsAug 2, 20118 Pages
Polaroid Case Objectives * Introduces the construction and use of statistical process control (SPC) charts and an understanding of the relationship between SPC and conformance quality. * Creating the strategy and implementation steps for transforming an operation from inspection-based to one that relies on statistically controlled process. * Understanding the complex human and organizational problems that occur when the basic operating philosophy is changed. * Applying quality tools to assess the root causes of defect problems. * Understanding the limits of product sampling and inspection methods, especially for a product that is destroyed by the inspection process itself Assignment: In the mid 1980s, one of…show more content…
First, both R-charts show subgroup ranges that are within the control limits, which suggests that the variation between subgroups is consistent. However, we can clearly see from the X-bar chart for finger height that this process is not in control. Moreover, this seems to be a substantial problem, as these limits are violated frequently. Exhibit 5 shows the graphs for finger-height and pod-weight in each shift. The pod weight graphs for Shift A, B and C shows that processes are in control. Finger height graphs for shift B shows that process is out of control as several points fall outside of the control limits. Finger height shift A and C are in control but many points are close to upper control limits in the X-bar charts. From this analysis we conclude that the process involved in finger height is problematic and should be optimized before moving forward on analysis of other parts of the overall process. The regular violation of control limits may point to a significant contribution to overall quality control rejections. III. Quality Check “Type of Defects” (exhibit 4) and “Reported Defect Rates” (exhibit 5) suggests that the output quality of R2 has declined. The reported defective rate from the operators had decreased from under 1% to 0.5% and the defective rate from the central process auditors had

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