Empirical Analysis of Quality Improvement in Manufacturing

Empirical Analysis of Quality Improvement in Manufacturing Despite a strong research output in quality in recent years, the literature is still scant in empirical studies of commonly held quality theories. Empirically investigates the operational and strategic impact of improved process quality and describes the construction of a model of process quality and its correlates in manufacturing. Using empirical data, the study performs a micro assessment of the impact of quality on operations performance. Implications for the business unit as a whole are also considered. Since the research domain of the study is manufacturing industry, the conformance dimension of quality has been adopted as a more precise and measurable definition than those followed in other research. Structural equation modelling (SEM) is used for analysing the magnitude and direction of hypothesized relationships, a rigorous and reliable way of testing multivariate data and path models. Research findings generally support the consensus view that there is a favourable impact of enhanced quality in the form of improvements in productivity, inprocess inventory, on‐time delivery, and manufacturing cost. Flow‐through effects on business performance were also noted though not in all dimensions. This research complements marketing‐oriented evaluation which has been a feature of approaches to date. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

Empirical Analysis of Quality Improvement in Manufacturing

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Publisher
Emerald Publishing
Copyright
Copyright © 1994 MCB UP Ltd. All rights reserved.
ISSN
0265-671X
DOI
10.1108/02656719410738984
Publisher site
See Article on Publisher Site

Abstract

Despite a strong research output in quality in recent years, the literature is still scant in empirical studies of commonly held quality theories. Empirically investigates the operational and strategic impact of improved process quality and describes the construction of a model of process quality and its correlates in manufacturing. Using empirical data, the study performs a micro assessment of the impact of quality on operations performance. Implications for the business unit as a whole are also considered. Since the research domain of the study is manufacturing industry, the conformance dimension of quality has been adopted as a more precise and measurable definition than those followed in other research. Structural equation modelling (SEM) is used for analysing the magnitude and direction of hypothesized relationships, a rigorous and reliable way of testing multivariate data and path models. Research findings generally support the consensus view that there is a favourable impact of enhanced quality in the form of improvements in productivity, inprocess inventory, on‐time delivery, and manufacturing cost. Flow‐through effects on business performance were also noted though not in all dimensions. This research complements marketing‐oriented evaluation which has been a feature of approaches to date.

Journal

International Journal of Quality & Reliability ManagementEmerald Publishing

Published: Oct 1, 1994

Keywords: Manufacturing; New Zealand; Performance; Productivity; Quality

References

  • Quality Management Practices in Australian Industry
    Sohal, A.S.; Ramsay, L.; Samson, D.
  • The Mother of All Reformers
  • An Instrument for Measuring the Critical Factors of Quality Management
    Saraph, J.V.; Benson, P.G.; Schroeder, R.G.

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