Keywords:-

Keywords: Capability indices, Machining Industry, Mixed Batch Production, Process Capability, Short Run Production

Article Content:-

Abstract

Statistical Process Control (SPC) is an important tool for monitoring productions processes. Process capability analysis aims to compare and find the proportion of process tolerance and process variation. Both SPC and Process capability indices are widely used within manufacturing environments. This article deals with monitoring low volume production process in bakery industry and reports the results of a statistical quality improvement programme. Calculated capability indices (Cp, Cpk) and subsequent process modification are discussed in relation to a specific short run and small mixed batch pro-duction. The purpose of the paper is to present that conventional under-standing that SPC and process capability analysis are or can be performed only on high volume processes is rebutted by applying high volume theory to a low volume production process.

References:-

References

Jarošová, E., Noskievičová, D. (2015). Pokročilejší metody statistické regulace procesu, Grada Publishing, Praha.

Harris, M. A., Mynors, D. J., Wang, Ch. J. (2009) A low volume production process capability analysis, Applied Mechanics and Materials, Vols. 16-19, 1038-1042,

doi:10.4028/www.scientific.net/AMM.16-19.1038.

Zgodavová, K. (1995). Príspevok k totálnemu riadeniu kusovej a malosériovej produkcie, In: Dissertation thesis, TUKE, Kosice.

Nugent, B. A. (1990). SPC in Short Run Processes, In: IEEE Conference on Aerospace and Electronics, Dayton, USA, 1304-1307.

Cullen, J. (1987). The Use of Statistical Process Control in One - Off and Small Batch Production, In: Automated inspection and Product control: proceedings of the 8th international conference, Chicago, USA, 384.

Montgomery, D. C. (2009). Introduction to Statistical Quality Control, John Wiley & Sons, USA.

Oakland, J.S. (2003). Statistical Process Control, 5th Edition, Butterworth Heinemann, Cornwall, GB.

Dale, B.G. (2003). Managing Quality, 4th Edition, Basil Blackwell, Oxford, GB.

Team of authors of the EÚ-SAV. (1993). Malá slovenská encyklopédia, 1. vydanie, Goldpress Publishers, Slovakia.

Juhászová, D., Čička, M. (2018). Measurements and Data Processing in Short Run Small Batch Mixed Production Statistical Process Control, In: Metallurgy Junior 2018, TUKE, Košice, 61-65.

Juhászová, D., Zgodavová, K. (2018). Preparation for SPC in short run and small mixed batch production: Case of bakery equipment organisation, In: 7th International Symposium on Industrial Engineering – SIE 2018, Serbia, 193-197.

Noskievičová, D. (2018). APSS – Software support for decision making in statistical process control, Quality Innovation Prosperity, Vol. 22, No. 3, 19-26, doi: 10.12776/QIP.V22I3.1141.

Vasilko, K., Hrubý, J., Lipták, J. (1991). Technológia obrábania a montáže, Alfa Bratislava, Slovakia.

QI-Macros. (2018). QI Macros SPC Software for Excel, KnowWare International Inc, Denver.

Rimarčík, M. (2007). Štatistika pre prax, Marián Rimarčík, Slovakia.

Havrila, M. (2005). Číslicovo riadená výrobná technika, FVT TU Košice, Slovakia.

Ketan, H., Nassir, M. (2016). Aluminum hot extrusion process capability improvement using Six Sigma, Advances in Production Engineering & Management, Vol. 11, No. 1, 59-69, 2016, doi.org/10.14743/apem2016.1.210.

Griffith, G. K. (1996) Statistical Process Control Methods for Long and Short Runs, ASQ, USA.

Gejdoš, P. (2015). Continuous quality improvement by statistical process control, Procedia Economics and Finance, Vol. 34, 565-572, doi.org/10.1016/S2212-5671(15)01669-X.

Foster, G. (1988). Implementing SPC in Low Volume Manufacturing, In: Annual Quality Congress Transactions, Milwaukee, USA, 261-267

Downloads

Citation Tools

How to Cite
Juhaszova, D. (2019). Short Run Production Process Capability Analysis in Machine Production. International Journal Of Management And Economics Invention, 5(04), 2058-2063. https://doi.org/10.31142/ijmei/v5i4.01