Cost Analysis of Poor Quality Using a Software Simulation

Jana Fabianová (), Jaroslava Janeková and Daniela Onofrejová
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Jana Fabianová: Technical University of Košice, Košice, Slovakia
Jaroslava Janeková: Technical University of Košice, Košice, Slovakia
Daniela Onofrejová: Technical University of Košice, Košice, Slovakia

The AMFITEATRU ECONOMIC journal, 2017, vol. 19, issue 44, 181

Abstract: The issues of quality, cost of poor quality and factors affecting quality are crucial to maintaining a competitiveness regarding to business activities. Use of software applications and computer simulation enables more effective quality management. Simulation tools offer incorporating the variability of more variables in experiments and evaluating their common impact on the final output. The article presents a case study focused on the possibility of using computer simulation Monte Carlo in the field of quality management. Two approaches for determining the cost of poor quality are introduced here. One from retrospective scope of view, where the cost of poor quality and production process are calculated based on historical data. The second approach uses the probabilistic characteristics of the input variables by means of simulation, and reflects as a perspective view of the costs of poor quality. Simulation output in the form of a tornado and sensitivity charts complement the risk analysis.

Keywords: poor quality cost analysis; Monte Carlo simulation (search for similar items in EconPapers)
JEL-codes: C53 C88 D24 L15 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:aes:amfeco:v:s10:y:2017:i:18:p:181

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