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Statistical Process Control Charts: Manufacturing Quality Management Case Study By Native Assignment Help.
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A particular manufacturing industry is associated with various kinds of tasks related to the production of a particular product. The execution of capability study becomes very essential to understand and identify the areas that need significant improvement to have more efficiently related to the overall production.
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A “Shewart control chart” is associated with the calculation of the average associated with each “batch” of the table given in the case study. The “Shewart control chart” helps to control and understand whether the manufacturing process associated with a wide range of products is under control (Nguyen et al. 2019). It helps to understand the errors that may be happening at any stage of the manufacturing process if it is seen that the manufacturing process is not under control.
Figure 1: “Shewart chart”
The above picture represents the graph associated with the data given in the case study to find the results associated with the “Shewart chart”. The line in orange represents the upper limit of the overall calculations and the white line represents the lower limit associated with the overall calculation related to the “Shewart chart”
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V-mask = 3.992, Standard deviation = 0.4451
Determine the mean = 3.992÷10 = 0.3922
5s of standard deviation of X-T
5 × 0.4451 = 2.2255
10s of sd of X-T
10 × 0.4451 = 4.451
V-Mask value of (5s)
3.922+2.2255 = 6.148
3.922-2.225 = 1.697
- Upper 5s = 6.148
-Lower 5s = 1.697
V-Mask value of (10s)
3.922+4.451 = 8.373
3.922-2.4.451 = -0.529
- Upper 5s = 8.373
-Lower 5s = -0.529
A CUSUM control chart is identified as a “Cumulative sum” chart which helps to keep track of the minute differences that happen on the calculations associated with “Process mean”. This helps to identify the small errors associated with overall calculation very efficiently which otherwise can be a difficult process to find small errors from large amounts of calculations. The identification of these errors helps to solve minor problems related to the manufacturing process very efficiently (Xie et al. 2021). These calculations are generally based on a particular “Target value” which is used to find the minute differences very efficiently.
Figure 2: “CUSUM chart”
The above picture represents the “CUSUM cart” related to the table given in the case to find the minute differences very efficiently. It can be seen that the line represented in orange represents the upper limit whereas the blue line associated with the graph represents the lower limit associated with the overall study very efficiently. This way the “CUSUM cart” depicts the minor differences associated with the overall manufacturing process very efficiently.
Figure 3: Shewart Chart of the data
Calculation and table for individual charts
CL-Control limit = x+3×MR÷D2=11.392+ (3× 0.44509719) = 12.727
CL-Control limit = x+3×MR÷D2=11.392-(3× 0.44509719) = 10.056
The general result got from a particular “control chart” is associated with the recognition of processes that happens outside the actual rules and regulation set for a particular manufacturing process. It helps to identify the areas that are associated with significant problems related to the capability to comply with the rules and regulations associated with the overall manufacturing process that eventually leads to a poor quantity of products produced during the manufacturing process.
Process capability is generally referred to as the statistical measures that help to acquire the process variable that is associated with certain characteristics. This is generally used to identify the overall ability of a particular process to be able to meet a certain specification very efficiently (Cao et al. 2019). Here in this study, this proves to be very beneficial in the context of being able to understand the statistical methods associated with the “Shewart chart” and the “CUSUM chart” very efficiently to be able to deduce the final results very efficiently.
This academic essay discusses how capability studies fit into quality management systems and quality assurance with reference to quality theories and relevant standards. The discussion focuses on a hypothetical company, ABC Manufacturing Company, which specializes in the production of car parts. The product chosen for this essay is the production of brake pads, which involves several stages from the raw material stage to the final product. The essay emphasizes the significance of the purchase order and capability studies of existing machines in the manufacture of the product.
A purchase order is a document issued by a buyer to a supplier, specifying the details of the work to be done and the expected results. The purchase order is critical in ensuring that the product manufactured meets the requirements and specifications of the buyer. In the case of ABC Manufacturing Company, the purchase order for the production of brake pads specifies the type of brake pad required, the quantity, the delivery date, and the required quality standards (Rehman Khan et al. 2022). The purchase order is essential in ensuring that the manufacturing process is streamlined to meet the required standards and specifications.
Capability studies are an essential tool in quality management systems and quality assurance. Capability studies involve a statistical analysis of the variation in a process or machine to determine its ability to meet the required specifications. In the case of ABC Manufacturing Company, capability studies were conducted on the machines that the raw material had to go through to become the final product. The capability studies involved an analysis of the variation in the machines' output to ensure that the machines met the required specifications. The usage of capability studies in the manufacture of brake pads increases production by reducing the variation in the output of the machines (Jasti et al. 2019). By reducing variation, the machines can produce more consistent and reliable brake pads, thus reducing the likelihood of defects and errors. Capability studies also help in identifying areas of improvement in the manufacturing process, allowing the company to optimize its processes to increase efficiency and productivity.
Quality theories and standards provide a framework for companies to ensure that their products meet the required quality standards. In the case of ABC Manufacturing Company, the company has adopted the ISO 9001:2015 quality standard. The ISO 9001:2015 standard provides a framework for companies to establish a quality management system that meets customer requirements and regulatory requirements. The standard emphasizes the importance of continuous improvement, customer satisfaction, and risk management. The production of brake pads by ABC Manufacturing Company involves several stages from the raw material stage to the final product. The purchase order is critical in ensuring that the product manufactured meets the requirements and specifications of the buyer. Capability studies are essential in ensuring that the machines used in the manufacturing process meet the required specifications, increasing production by reducing variation in the output. The ISO 9001:2015 quality standard provides a framework for companies to establish a quality management system that meets customer requirements and regulatory requirements, emphasizing the importance of continuous improvement, customer satisfaction, and risk management.
Conclusion
The purchasing division has accountable for acceptable functions to an association e.g., procuring fabrics, supplier preference, etc. Therefore, to provide this process as well as maximize efficiency, an organization is to execute a well a methodical quality administration technique. The special manufacturing company has associated different varieties of assignments conveyed to the exhibition of an individual outcome. The implementation of qualification analysis evolves extremely fundamental to comprehend as well as determine the locations which require effective modification to have additional efficiently conveyed to the comprehensive production.
References
Cao, G., Duan, Y. and Cadden, T., 2019. The link between information processing capability and competitive advantage mediated through decision-making effectiveness. International Journal of Information Management, 44, pp.121-131.
Jasti, N.V.K., Venkateswaran, V., Kota, S. and Sangwan, K.S., 2022. A literature review on total quality management (models, frameworks, and tools and techniques) in higher education. The TQM Journal, 34(5), pp.1298-1319.
Lim, W.M., Ciasullo, M.V., Douglas, A. and Kumar, S., 2022. Environmental social governance (ESG) and total quality management (TQM): a multi-study meta-systematic review. Total Quality Management & Business Excellence, pp.1-23.
Nguyen, H.D., Nguyen, Q.T., Tran, K.P. and Ho, D.P., 2019. On the performance of VSI Shewhart control chart for monitoring the coefficient of variation in the presence of measurement errors. The International Journal of Advanced Manufacturing Technology, 104, pp.211-243.
Rehman Khan, S.A., Yu, Z., Sarwat, S., Godil, D.I., Amin, S. and Shujaat, S., 2022. The role of block chain technology in circular economy practices to improve organisational performance. International Journal of Logistics Research and Applications, 25(4-5), pp.605-622.
Xie, F., Sun, J., Castagliola, P., Hu, X. and Tang, A., 2021. A multivariate CUSUM control chart for monitoring Gumbel's bivariate exponential data. Quality and Reliability Engineering International, 37(1), pp.10-33.
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