Performance implications of investments in continuous quality improvement

Linda C. Angell, M. Jeya Chandra

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Quality investment decisions are complex and interrelated, itith added uncertainties associated with the many "unknown and unknowable" costs (such as the value of an unhappy customer). However, existing cost of Quality models are overly simplistic. In order to improve quality investment decisions, this paper thorouglily reviews the cost of quality literature, and then proposes a multi-level model tracing the impact of prevention and appraisal program investments on key performance results such as sales revenues, manufacturing and inventory costs, and quality failure costs. Several sub-sections of this framework are developed and described in detail with analytical models. In particular, the variance reduction sub-model expands Taguchi's Loss Function for estimating hidden external failure costs by linking variance and process mean settings to reliability. This paper proposes analytical models to quantify the effects of quality improvement investments on tangible measures affirm performance.

Original languageEnglish (US)
Pages (from-to)108-125
Number of pages18
JournalInternational Journal of Operations and Production Management
Volume21
Issue number1-2
StatePublished - 2001

Fingerprint

Costs
Analytical models
Continuous quality improvement
Sales
Investment decision
Analytical model
Process mean
Taguchi loss function
Performance measures
Revenue
Uncertainty
Multilevel models
Quality improvement
Inventory cost
Variance reduction
Manufacturing cost

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Strategy and Management
  • Management of Technology and Innovation

Cite this

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Performance implications of investments in continuous quality improvement. / Angell, Linda C.; Jeya Chandra, M.

In: International Journal of Operations and Production Management, Vol. 21, No. 1-2, 2001, p. 108-125.

Research output: Contribution to journalArticle

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