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Classification and calculation of primary failure modes in bread production line

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  • Tsarouhas, Panagiotis H.

Abstract

In this study, we describe the classification methodology over a 2-year period of the primary failure modes in categories based on failure data of bread production line. We estimate the probabilities of these categories applying the chi-square goodness of fit test, and we calculate their joint probabilities of mass function at workstation and line level. Then, we present numerical examples in order to predict the causes and frequencies of breakdowns for workstations and for the entire bread production line that will occur in the future. The methodology is meant to guide bread and bakery product manufacturers, improving the operation of the production lines. It can also be a useful tool to maintenance engineers, who wish to analyze and improve the reliability and efficiency of the manufacturing systems.

Suggested Citation

  • Tsarouhas, Panagiotis H., 2009. "Classification and calculation of primary failure modes in bread production line," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 551-557.
    • Handle: RePEc:eee:reensy:v:94:y:2009:i:2:p:551-557
    DOI: 10.1016/j.ress.2008.06.014
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    References listed on IDEAS

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    1. Frank A. van der Duyn Schouten & Stephan G. Vanneste, 1993. "Two Simple Control Policies for a Multicomponent Maintenance System," Operations Research, INFORMS, vol. 41(6), pages 1125-1136, December.
    2. George Liberopoulos & Panagiotis Tsarouhas, 2002. "Systems Analysis Speeds Up Chipita's Food-Processing Line," Interfaces, INFORMS, vol. 32(3), pages 62-76, June.
    3. Diallo, Mohamadou & Pierreval, Henri & Quilliot, Alain, 2001. "Manufacturing cells design with flexible routing capability in presence of unreliable machines," International Journal of Production Economics, Elsevier, vol. 74(1-3), pages 175-182, December.
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    Cited by:

    1. Liling Ge & Yingjie Zhang, 2019. "Improving operational reliability of manufacturing systems by process optimization via survival signatures," Journal of Risk and Reliability, , vol. 233(3), pages 444-454, June.

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