Essays on Statistical Process Control Case Study

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The paper "Statistical Process Control" is a great example of a case study on management. Statistical techniques are playing a very important role in the quality control process in every organization; it helps to improve the quality of processes. Statistical process control (SPC) tools are using widely in order to measure and analyze the variation that may present in the processes.   Most frequently used for manufacturing processes, the objective of Statistical process Control is to examining and monitoring the quality of product and maintains processes to predetermined targets.   Many experts consider the American quality revolution of the 1980s response to an American quality crisis that had reached major proportions.

This quality revolution led to the overall integration of statistical process control (SPC) and total quality management (TQM) in many U. S. manufacturing sectors. Although manufacturers have used statistical process control (SPC) methods successfully for decades to find causes of poor productivity and to improve product quality, only recently has SPC caught the attention of motor carriers (Mundy, 1986, 25). Background The purpose of the original study initiated in 1987 was twofold: (1) to demonstrate the application of statistical process control to deliver performance and (2) to explore the potential of SPC in this area of operations.

The research plan included three tasks. The first task was to select the hub-and-spoke terminal networks for analysis and the performance measures of interest. The second task involved data collection and processing from various mainframe databases to create dispatch records. These records contained date-time values for arrivals and departures at selected points along the route from origin to destination. A total of 55,989 complete dispatch records were collected for the period from January 30, 1987, to March 13, 1987.

A computer program, written in Statistical Analysis System (SAS) language pieced together dispatch records to create 6,822 completed-shipment records. Other SAS programs generated random samples and computed the sample statistics needed to build control charts. The third task was to construct control charts, evaluate delivery service quality, and assess the potential of SPC techniques.

References

C.E. Richards. "Monitoring Rail Transit Time Using Statistical Process Control," Logistics and Transportation Review 20 No. 4., 1989, pp. 512-513

Eugene L. Grant and Richard S. Leavenworth, “Statistical Quality Control”. 5th ed. (New York: McGraw-Hill. 1980). pp. 152-168.

James H. Foggin, "Improving Motor Carrier Productivity with Statistical Process Control Techniques," Transportation Journal (Fall 1984), pp. 58-74:

Joseph V. Barks. "Shipper Quality Survey." Distribution (August 1988). pp. 48-56.

Lisa H. Harrington, "The Quest for Quality," Traffic Management (July 1986), pp. 71-74

Michael S. Galardi and Thomas Sanderson, A Service Quality Program for Motor Carriers (Lexington, Mass: Temple, Barker & Sloane, Inc., 1986), pp. 5-7

Montgomery, Douglas C. Introduction to Statistical Quality Control International Edition. 5. Edition - September 2004

Mundy et al., "Applying SPC.” 1986, p. 25

Myron Tribus, "What Can Private Fleets Learn from the 'Japanese Management Style?'," The Private Carrier (August 1988), pp. 32-37.

W.R. Tickle and Cort J. Dondero, "Blueprint for Quality." Annual Conference Proceedings, Council of Logistics Management I (September 1987), pp. 33-44

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