Essays on Statistical Process Control in the Analysis of the Saudi Standards, Metrology and Quality Organisation Case Study

Download full paperFile format: .doc, available for editing

The paper 'Statistical Process Control in the Analysis of the Saudi Standards, Metrology and Quality Organisation " is a good example of a management case study. Statistical Process Control (SPC) is about competition among businesses regarding excellence, delivery, and costs issues. The future of most organizations depends on the quality and relevance of the services and products that they produce. Therefore, many organizations are in a constant endeavor to improve the quality of their goods and services. Businesses do this not only to meet the customer’ s needs but to surpass the same so as to remain relevant in the market.

In an effort to improve the aforementioned above, there is a need to apply Statistical Process Control (SPC); which is a key central tool in organizational production (Oakland, 2008, p. 3). Furthermore, the major tools used in SPC include control charts, fishbone, flowchart, histograms, scatter diagrams, and Pareto analysis. A control chart is a key tool in SPC, basically since it exhibits procedure behaviors and can be used to examine and control processes within the specified control limits. Using the available raw data, SPC is a practice with the aim of scheming, and supervising business-related progress, which consequently provides the capability to improve an organization’ s overall excellence.

SPC is employed to analyze, the given set of data, using statistical tools so that processes can be managed and improved using control charts (Stapenhurst, 2005, p. 1). This paper will discuss the application of SPC in the analysis of the Saudi Standards, Metrology, and Quality Organisation (SASO), which was established in 1972. Background information about Saudi Standards, Metrology and Quality Organization (SASO) SASO is responsible for Saudi standards, implementing quality systems, and doing many tests in its laboratories at the headquarters in Riyadh and five other branches.

Among these tests, there is an examination for private cars that come to the Kingdom of Saudi Arabia without a certificate of conformity. The test is done to these cars during a specific time period. SASO made data of the last year 2010 for a period of 12 months. The number of cars which were examined each month and how long did it take to complete the examination in minutes can be observed from the data.

Similarly, it can be observed from the data that the time to finish the examination was becoming longer in some months which affect customer time. Random samples of 15 cars examination per month for the period of January to December, in 2010 were recorded. Process Control Application Any organization has some process that needs to be controlled in a manner to minimize variations beyond the six standard deviations so that the services provided and goods produced may be optimally delivered (Corriou, 2004, p. 3). Control charts are monitored so that variations in the process can be located (Mason & Young, 2002, p.

119). The assignment will discuss some statistical process control applications at (SASO) based in Riyadh laboratory. Control charts: X-bar chart and R-chart will be used for studying waiting times for SASO’ S customers to complete the examination. The above is used because the data collected is a continuous variable and not discrete. Attempts will be made to determine all reasons that cause delays in the inspections by using the flowchart, fishbone techniques, and Pareto analysis to discern the main causes of the delays.

References

Associates, J. (1995). Pareto Charts: Plain & Simple. Madison: Oriel Incorporated.

Boslaugh, S., & Watters, P. A. (2008). Statistics in a Nutshell. Sebastopol, Calif: O'Reilly Media.

Charantimath. (2003). Total Quality Management. New Delhi: Pearson Education India.

Corriou, J.-P. (2004). Process control: theory and applications. London: Springer.

Costa, A., & Rahim, M. (2006). A Synthetic Control Chart for Monitoring The Process Mean

And Variance [Electronic Version]. Journal of Quality in Maintenance Engineering, 12(1), 81-88.

Escoe, A. (2001). The Practical Guide To People-Friendly Documentation. Milwaukee: AS Quality Press.

Kreitner, R. (2008). Management. Boston: Houghton Mifflin Co.

Mason, R. L., & Young, J. C. (2002). Multivariate statistical process control with industrial

Applications. Philadelphia, Penns: Society for Industrial and Applied Mathematics (SIAM)

Oakland, J. S. (2008). Statistical Process Control. Burlington: Butterworth-Heinemann.

Saxena, J. P. (2009). Production And Operations Management. New Delhi: Tata McGraw-Hill

Privated Ltd.

Stapenhurst, T. (2005). Mastering Statistical Process Control. Oxford; Boston: Butterworth

Heinemann.

Stapenhurst, T. (2009). The Benchmarking Book: a How-To-Guide To Best Practice For Managers and Practitioners. Oxford: Butterworth-Heinemann.

Shim, J. K., & Siegel, J. G. (1999). Operations Management. Hauppauge, NY: Barron's

Educational Series.

Speegle, M. (2009). Quality Concepts For The Process Industry. Clifton Park, NY: Delmar

Cengage Learning.

Taner, M., Sezen, B., & Antony, J. (2007). An Overview Of Six Sigma Applications In Healthcare Industry [Electronic Version]. International Journal of Health Care Quality Assurance, 20(4), 329-340.

Download full paperFile format: .doc, available for editing
Contact Us