Implementing SPC and the Philosophy


Preston, Philip H.; St. John, Donna; Smith, James L.   (1986, ASQC)   Amphenol Products Company, Sidney, NY

40th Annual Quality Congress, May 1986, Anaheim, CA    Vol. 40    No. 0
QICID: 3217    May 1986    pp. 437-439
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Article Abstract

The effects of Statistical Process Control on product quality and productivity are well documented. The first indications of the power of SPC were felt by those who were competing with the Japanese. Today, many American companies are responding to this competition by implementing Quality Circle Programs and/or Statistical Process Control with varying degrees of success. This paper will explain a method of implementing SPC in a company, which began by shaping Senior Management attitudes and gaining their commitment.The method of training for Managers, Supervisors, Salaried and Hourly personnel will be presented along with the content of each class. Managers received a 16 hour overview, supervisors and salaried received 40 hours of training over a two-week period, and hourly received up to 16 hours of training. To maximize the benefits of implementing SPC, a participative management approach is necessary. This is best exemplified by Dr. W. Edwards Deming's 14 Management Principles, and Management should be committed to these basic concepts.The long term results will be reflected in absolute monetary savings, but should not have such as "the" objective of the ideology. The goal is better defined as achieving constant improvement in quality and productivity by reducing variability and making this standard practice throughout the organization. Short term results will come from the improved communication and problem solving skills, which are part of the training on SPC.Ongoing support of those groups trained in SPC is necessary to ensure the statistical thinking, and environment becomes self-sustaining. The norm for most individuals is once back on the job, it is business as usual. The methods used during training make SPC part of "business as usual". The successes and problems will be discussed.


Human resources (HR),Statistical process control (SPC)

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