A simple, semi-prescriptive self-assessment model for TQM.

Qual Assur

Warwick Manufacturing Group, International Manufacturing Centre, University of Warwick, Coventry, United Kingdom.

Published: March 2004

This article presents a simple, semi-prescriptive self-assessment model for use in industry as part of a continuous improvement program such as Total Quality Management (TQM). The process by which the model was constructed started with a review of the available literature in order to research TQM success factors. Next, postal surveys were conducted by sending questionnaires to the winning organisations of the Baldrige and European Quality Awards and to a preselected group of enterprising UK organisations. From the analysis of this data, the self-assessment model was constructed to help organisations in their quest for excellence. This work confirmed the findings from the literature, that there are key factors that contribute to the successful implementation of TQM and these have different levels of importance. These key factors, in order of importance, are: effective leadership, the impact of other quality-related programs, measurement systems, organisational culture, education and training, the use of teams, efficient communications, active empowerment of the workforce, and a systems infrastructure to support the business and customer-focused processes. This analysis, in turn, enabled the design of a self-assessment model that can be applied within any business setting. Further work should include the testing and review of this model to ascertain its suitability and effectiveness within industry today.

Download full-text PDF

Source
http://dx.doi.org/10.1080/10529410390262718DOI Listing

Publication Analysis

Top Keywords

self-assessment model
16
simple semi-prescriptive
8
semi-prescriptive self-assessment
8
model constructed
8
key factors
8
model
6
self-assessment
4
tqm
4
model tqm
4
tqm article
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!