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

Darina Juhászová (1)
(1) Technical University of Kosice Rademaker Slovakia, Slovakia

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.

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References

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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

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