Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/169064
Authors: 
Fabianová, Jana
Janeková, Jaroslava
Onofrejová, Daniela
Year of Publication: 
2017
Citation: 
[Journal:] Amfiteatru Economic Journal [ISSN:] 2247-9104 [Volume:] 19 [Year:] 2017 [Issue:] 44 [Pages:] 181-196
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.
Subjects: 
poor quality cost analysis
Monte Carlo simulation
JEL: 
C53
C88
D24
L15
Creative Commons License: 
http://creativecommons.org/licenses/by/4.0/
Document Type: 
Article

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