Application of SPC in Short Run and Small Mixed Batch Production: Case of Bakery Equipment Producer

Darina Juhászová

Abstract

Purpose: The purpose of this paper is to present preliminary research in statistical process control (SPC) of short run and small mixed batches (SR-SMB) at the organization producing bakery equipment.

Methodology/Approach: The starting point of the research is a literary survey of possibilities of using SPC for SR-SMB and analysis of the current state of production in a particular organization. Through Pareto analysis, verifying the normality of the data obtained during eleven months, calculation of process capability and performance it was possible to prepare control charts. Finally, the single-case study shows that the proposed control charts are applicable in a small batch and mixed production in the organization producing bakery equipment.

Findings: Through SPC implementation in bakery equipment SR-SMB production it is possible to understand the behaviour of the process and to organize better and control the production of expensive precision components.

Research Limitation/implication: Limitation of the research is that data have not been reviewed by individual machines and the impact of individual machines and their settings is not displayed separately.

Originality/Value of paper: Using SPC in the bakery equipment industry is far from common practice. The article presents the first part of the research, which is the starting point for more detailed analysis needed to optimize the use of materials, energy and environmental consequences.

References

Brännmark, M., Langstrand, J., Johansson, S., Halvarsson, A., Abrahamsson, L. and Winkel, J., 2012. Researching Lean: Methodological Implications of Loose Definitions. Quality Innovation Prosperity, 16(2), pp. 35-48. https://doi.org/10.12776/qip.v16i2.67.

Cullen, J., 1987. The Use of Statistical Process Control in One - Off and Small Batch Production. Chicago, s.n.

Foster, G., 1988. Implementing SPC in Low Volume Manufacturing. ASQC Annual Quality Congress, Dallas TX, 42(0), pp. 261-267.

ISO, 2017. International Standard 7870-8: Control charts – Part 8: Charting Techniques for Short Runs and Small Mixed Batches. Geneva: ISO.

Jarošová, E. and Noskievi?ová, D., 2015. More Advanced Methods of Statistical Process Control. Prague: Grada Publishing.

Juhászová, D. and Či?ka, M., 2018. Measurements and Data Processing in Short Run Small Batch Mixed Production. In: Faculty of Materials, Metallurgy and Recycling Technical University of Košice, Metallurgy Junior 2018 Proceedings. Herľany, Slovakia, 10-11 May 2018. Košice: Technical University of Košice.

Juhászová, D. and Zgodavová, K., 2017. Short Run Small Batch Mixed Production Statistical Process Control. In: Faculty of Materials, Metallurgy and Recycling Technical University of Košice, Metallurgy Junior 2017 Proceedings. Košice: Technical University of Košice.

Lee, W. and Lau, H., 1999. Factory on Demand: The Shaping of an Agile Production Network. International Journal of Agile Management Systems, 2(1), pp. 83-87. https://doi.org/10.1108/14654659910280901.

Nuget, B., 1990. SPC in Short Run Processes Productivity. Dayton: Quality Systems.

QI-Macros, 2018. QI Macros SPC Software for Excel. [online] Denver: KnowWare International. Available at: < https://www.qimacros.com/ > [Accessed 26 November 2018].

Tošenovský, F., 2010. A Mathematical Model for Process Cycle. Quality Innovation Prosperity, 14(1-2), pp. 64-71.

Zgodavova, K. 1995. Contribution toward the Total Quality Management of Piece and Small Batch Production. Ph. D. Technical University of Košice.

Authors

Darina Juhászová
dadka.post@gmail.com (Primary Contact)
Author Biography

Darina Juhászová, Technical University of Kosice Rademaker Slovakia

Faculty of Materials, Metallurgy and Recyclation,

Institute of of Materials and Quality Engineering

Juhászová, D. (2018). Application of SPC in Short Run and Small Mixed Batch Production: Case of Bakery Equipment Producer. Quality Innovation Prosperity, 22(3), 55–67. https://doi.org/10.12776/qip.v22i3.1174
Copyright and license info is not available

Article Details

Study on Likelihood-Ratio-Based Multivariate EWMA Control Chart Using Lasso

Takumi Saruhashi, Masato Ohkubo, Yasushi Nagata
Abstract View : 729
Download :408