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A study of quality improvement tools and total quality management (TQM) frameworks for small and medium size manufacturing companies

by Jamil, Kabir

Abstract (Summary)
Total Quality management (TQM) has received considerable attention in manufacturing companies. The usage of TQM theoretical framework as to assist in planning the introduction and development of quality improvement programs has been widely accepted as the basis for rationalization of quality improvement initiatives across organizations. Comparison of established TQM frameworks was made and some tentative conclusions are drawn about these frameworks in the light of the evidence presented. Using the information obtained from the literature review, a skeleton of a TQM framework specifically for small and medium size organizations was developed, and from this skeleton a questionnaire for the study was designed. The study also addresses and explores issues relating to the choice of TQM tools, techniques and types of training, and their level of usefulness for small and medium sized manufacturing companies. Data are collected from 1000 plant managers representing small and medium sized manufacturing companies within the state of Ohio. Statistical analysis is performed to examine hypothesized relationships and differences made. Descriptive statistics showed that management leadership and worker involvement was highly regarded as important elements for TQM success. Except for a few specific cases, ANOVA analysis showed that the number of employees in the organization does not contribute much effect to the choice of tools and types of training made in small and medium sized organizations. A t-test also revealed that the status of availability of a TQM program within the organization, in general does not contribute much effect to the perceived choice that respondents made. The final framework designed based on the input from the study conveys a similarities with MBNQA framework in general, but in the detail of scoring points, the framework showed a significant difference.
Bibliographical Information:

Advisor:

School:Ohio University

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:total quality management statistical control cost

ISBN:

Date of Publication:01/01/1998

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