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Profit analysis of butter-oil (ghee) producing system of milk plant using supplementary variable technique

Author

Listed:
  • Parveen Kumari

    (Kurukshetra University)

  • Mukender Singh Kadyan

    (Kurukshetra University)

  • Jitender Kumar

    (Kurukshetra University)

Abstract

Present paper discussed the butter-oil (ghee) producing system consists of four subsystems—‘Melting Vats’, ‘Boilers’, ‘Butter-oil Clarifier’ and ‘Butter-oil Settling Tank’. All the four subsystems are connected in series configuration. The subsystem ‘Melting Vats’ consists two dissimilar units: one is performing the intended task and other is hold in cold standby. Subsystem ‘Boilers’ consists of three similar units, all are connected in parallel. Subsystems ‘Butter-oil Clarifier’ and ‘Butter-oil Settling Tank’ each consists of one unit. Time to failure of all the subsystems are exponentially distributed and repair times follow arbitrary distribution. Supplementary variable technique is used for analysis purpose. Also in the special case, the numerical results along with their graphs for distinct values of subsystems parameters such as failure rate and repair rate have been evolved to explore the behaviour of various performance characteristics of butter-oil producing system.

Suggested Citation

  • Parveen Kumari & Mukender Singh Kadyan & Jitender Kumar, 2019. "Profit analysis of butter-oil (ghee) producing system of milk plant using supplementary variable technique," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(6), pages 1627-1638, December.
  • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:6:d:10.1007_s13198-019-00913-7
    DOI: 10.1007/s13198-019-00913-7
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    References listed on IDEAS

    as
    1. Anil Kr. Aggarwal & Vikram Singh & Sanjeev Kumar, 2017. "Availability analysis and performance optimization of a butter oil production system: a case study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 538-554, January.
    2. Savita Garg & Jai Singh & D.V. Singh, 2010. "Availability and maintenance scheduling of a repairable block-board manufacturing system," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 4(1), pages 104-118.
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    Cited by:

    1. Monika & Garima Chopra, 2024. "Reliability assessment of an industrial system considering failures in its raw material inventory," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2704-2714, June.
    2. Parveen Kumari & M. S. Kadyan & Jitender Kumar, 2021. "Performance analysis of curd (Dahi) producing system of milk plant by using trapezoidal fuzzy numbers with different left and right heights," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1348-1361, December.
    3. Nitin Panwar & Sanjeev Kumar, 2022. "Mathematical modelling and performance analysis of screening unit in paper plant," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2751-2763, October.

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