Indirect Impacts of Drastic Scrap Rate Reduction on Costs of Production Process in Precision Machining

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Abstract:

The Lean Six Sigma (LSS) conception and other solutions in modern manufacturing and management systems have rapidly spread in precision machining in the last decades. Cost components related to quality control of precision parts are analyzed in the paper on the basis of the cutting edge LSS approach. An optimization framework intended to increase the efficiency of production process planning is introduced. The model helps in calculating economic profit, which differs from accounting profit with the extent of opportunity costs. It is found that drastic reduction of the scrap rate, though increasing customer satisfaction, is not always a proper solution due to the extent of quality cost. The applicability of the elaborated framework was tested and some promising results gained during managerial interviews are also summarized in the paper.

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Periodical:

Solid State Phenomena (Volume 261)

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487-494

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Online since:

August 2017

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[1] Z. Musinszki, Industry 4. 0 - cost system 4. 0?: Innovations in cost systems, Controller Info. 4 (2016) 2–9.

Google Scholar

[2] H. Erbiyika, M. Saru, Six Sigma Implementations in Supply Chain: An Application for an Automotive Subsidiary Industry in Bursa in Turkey, Procedia - Social and Behavioral Sciences. 195 (2015) 2556–2565.

DOI: 10.1016/j.sbspro.2015.06.447

Google Scholar

[3] J. Gottmann, M. Pfeffer, W. Sihn, Process Oriented Production Evaluation, Procedia CIRP. 12 (2013) 336–341.

DOI: 10.1016/j.procir.2013.09.058

Google Scholar

[4] T. Aldowaisan, M. Nourelfath, J. Hassan, Six Sigma Performance for Non-Normal Processes, European Journal of Operational Research. 247 (2015) 968–977.

DOI: 10.1016/j.ejor.2015.06.036

Google Scholar

[5] D.J. Meade, S. Kumar, A. Houshyar, Financial Analysis of a Theoretical Lean Manufacturing Implementation Using Hybrid Simulation Modeling, Journal of Manufacturing Systems. 2 (2006) 137–152.

DOI: 10.1016/s0278-6125(06)80039-7

Google Scholar

[6] I. Alhuraish, C. Robledo, A. Kobi, Assessment of Lean Manufacturing and Six Sigma Operation with Decision Making Based on the Analytic Hierarchy Process, IFAC-Papers OnLine 49-12. (2016) 59–64.

DOI: 10.1016/j.ifacol.2016.07.550

Google Scholar

[7] M. Jimenez et al., 5S Methodology Implementation in the Laboratories of an Industrial Engineering University School, Safety Science. 78 (2015) 163–172.

DOI: 10.1016/j.ssci.2015.04.022

Google Scholar

[8] H.R. Varian, Intermediate Microeconomics: a Modern Approach, eighth ed., W.W. Norton & Company, (2014).

Google Scholar

[9] G.A. Jehle, P.R. Reny, Advanced Microeconomic Theory, third ed., Prencice Hall, (2010).

Google Scholar

[10] A. Demeny, Z. Musinszki, Social Accounting – In the Wake of the Sustainability, Theory Methodology Practice, 12 (2016) 26–40.

Google Scholar