Document Type

Thesis

Date of Award

10-31-1993

Degree Name

Master of Science in Manufacturing Systems Engineering - (M.S.)

Department

Manufacturing Engineering Division

First Advisor

Nouri Levy

Second Advisor

R. S. Sodhi

Third Advisor

Sanchoy K. Das

Abstract

Recent changes in the past World War II economy have produced a more educated, value driven customer. A global economy has emerged to technological advances which has made competition fierce as well as proximate. As a result, manufacturing companies are required to provide consumers with quality products at a reasonable cost. A quality product is defined as one that fulfills the needs and expectations of the consumer and provides him with a sense of value.

Since all companies want to provide quality products, the reason why poor quality is sometimes the result is not the outcome of actions for that purpose but is due to variability which is inherent in manufacturing processess. A technique which avoids products that don't meet specifications to be shipped out is that 100% inspection is not required and thus the system is inexpensive to implement.

The purpose of this thesis is to emphasize the importance of quality, to analyze various aspects of Statistical Process Control and stochastically reproduce some of the nonrandom behavior that often are observed in the industry. Finally, this thesis will explain the development of these expert systems who recognize nonrandom behavior, and recommend methods to continue the research.

Included in

Manufacturing Commons

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