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dc.contributor.authorWhite, Patricia A. ( )
dc.identifier.citationWhite, P. A. (1989). Statistical process control: A study to evaluate expectations, extent of use, training, and implementation (Unpublished thesis). Southwest Texas State University, San Marcos, Texas.

As today's business environment becomes more competitive, many firms are seeking ways to reduce costs and increase efficiency. Statistical Process Control (SPC) is one tool offering the advantages of efficiency and cost improvement and is being used with increasing frequency. The purpose of this study was to determine the benefits that can be expected from SPC programs, the extent to which firms are using SPC techniques, the training media and techniques that are being used for SPC training and the factors that affect successful program implementation. The study was limited to manufacturing companies in Texas that employed more than 250 production employees. Respondents were selected using nonprobability, quota sampling techniques. Data for the study were obtained through the use of a questionnaire that contained both demographic questions and SPC specific questions. Data were analyzed using percent of response. Statistical techniques such as equivalency testing, crosstabulation and correlation analysis were also used.

Significant benefits were achieved by firms using SPC. A majority of the respondents recognized the need for SPC. Most of the respondents using SPC were using the techniques in manufacturing operations and other operations. A majority of the respondents were conducting formal SPC training. However, excessive training was found to adversely affect the rate of program implementation and the results achieved.

dc.format.extent146 pages
dc.format.medium1 file (.pdf)
dc.subjectProcess control
dc.subjectQuality control
dc.subjectIndustrial statistics
dc.titleStatistical process control: A study to evaluate expectations, extent of use, training, and implementation
txstate.documenttypeThesis Texas State University of Business Administration
dc.description.departmentBusiness Administration


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