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A quantitative management support model for a certain production supply system in non-extreme states

Author

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  • Tadeusz Galanc
  • Wiktor Kołwzan
  • Jerzy Pieronek

Abstract

The paper is devoted to building a probabilistic method of analyzing the operation of a certain production supply system. The analysis is carried out for non-extreme states of the level in store, into which two separate streams of production (the product) are directed. A system of partial differential equations describing this case was derived which is satisfied by the joint density function defining the probabilities of states of the three-dimensional process characterizing the system’s functioning.

Suggested Citation

  • Tadeusz Galanc & Wiktor Kołwzan & Jerzy Pieronek, 2012. "A quantitative management support model for a certain production supply system in non-extreme states," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(1), pages 5-12.
    • Handle: RePEc:wut:journl:v:1:y:2012:p:5-12:id:1018
    DOI: 10.5277/ord120101
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    References listed on IDEAS

    as
    1. Nils Rudi & Sandeep Kapur & David F. Pyke, 2001. "A Two-Location Inventory Model with Transshipment and Local Decision Making," Management Science, INFORMS, vol. 47(12), pages 1668-1680, December.
    2. Yunzeng Wang & Morris A. Cohen & Yu-Sheng Zheng, 2000. "A Two-Echelon Repairable Inventory System with Stocking-Center-Dependent Depot Replenishment Lead Times," Management Science, INFORMS, vol. 46(11), pages 1441-1453, November.
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    Cited by:

    1. Tadeusz Galanc & Wiktor Kołwzan & Jerzy Pieronek, 2017. "Probabilistic characteristics supporting the management of a production-supply system," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(3), pages 51-63.
    2. Tadeusz Galanc & Wiktor Kołwzan & Jerzy Pieronek, 2019. "Non-extreme variant of support management model of a production-supply system with the structural process of product supply," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(2), pages 43-53.

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