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Determining quality inspection frequency in an automated production line based on field failure data analysis

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Abstract

We perform a statistical analysis of failure data of equipment obtained from a real automated pizza production line. Based on this data, we develop and solve a simple model of a quality inspector who visits several such lines to detect possible quality problems in the production process. His objective is to allocate the number of his visits to the different workstations of the lines so as minimize the total production time of undetected, defective products.

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References

  • Ahire, S.L., Landeros, R., and Goihar, D.Y. (1995). Total quality management: A literature review and an agenda for future research. Production and Operations Management, vol. 4 (3), 277–306.

    Google Scholar 

  • Ben-Daya, M. (1999). Integrated production maintenance and quality model for imperfect processes. IIE Transactions, vol. 31, 491–501.

    Google Scholar 

  • Ben-Daya, M. and Daffuaa, S.O. (1995). Maintenance and quality: The missing link. Journal of Quality in Maintenance Engineering, vol. 1(1), 20–26.

    Article  Google Scholar 

  • Burney, F.A. and Al-Darrab, I. (1998). Performance evaluation using statistical quality control techniques. Work Study, vol. 47 (6), 204–212.

    Article  Google Scholar 

  • Liberopoulos, G. and Tsarouhas, P. (2002). System analysis speeds up Chipita’s foodprocessing line. Interfaces, vol. 32 (3), 62–76.

    Article  Google Scholar 

  • Liberopoulos, G. and Tsarouhas, P. (2005). Reliability analysis of an automated pizza processing line. Journal of Food Engineering, vol. 69 (1), 79–96.

    Article  Google Scholar 

  • Shin, D. and Min, H. (2001). On the effectiveness of on-line repair policy: Quality failure costs perspective. Integrated Manufacturing Systems, vol. 12 (2), 152–162.

    Article  Google Scholar 

  • Tagaras, G. (1988). An integrated cost model for the joint optimization of process control and maintenance. Journal of the Operational Research Society, vol. 39 (8), 757–766.

    Article  Google Scholar 

  • van der Bij, H. and van Ekert, J.H.W. (1999). Interaction between production control and quality control. International Journal of Operations & Production Management, vol. 19 (7), 674–690.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Informatics and Computer Technology, Technological Education Institute of Lamia, Greece

    Panagiotis Tsarouhas

  2. Department of Mechanical & Industrial Engineering, University of Thessaly, Greece

    George Liberopoulos

Authors
  1. Panagiotis Tsarouhas
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  2. George Liberopoulos
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Correspondence to Panagiotis Tsarouhas.

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Tsarouhas, P., Liberopoulos, G. Determining quality inspection frequency in an automated production line based on field failure data analysis. Oper Res Int J 4, 305–315 (2004). https://doi.org/10.1007/BF02944148

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  • DOI: https://doi.org/10.1007/BF02944148

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