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Decision Support Model for Production Disturbance Estimation

Author

Listed:
  • Ioan Felea

    (University of Oradea, Universitatii, 1, 410087, Oradea, Romania)

  • Simona Dzitac

    (University of Oradea, Universitatii, 1, 410087, Oradea, Romania)

  • Tiberiu Vesselenyi

    (University of Oradea, Universitatii, 1, 410087, Oradea, Romania)

  • Ioan Dzitac

    (Aurel Vlaicu University of Arad, E. Dragoi, 2, 310330, Arad, Romania;
    Agora University, Piata Tineretului, 8, 410526, Oradea, Romania)

Abstract

A current modeling framework for disturbance in manufacturing systems (MS) is given by concepts like discrete-event systems, stochastic fluid models and infinitesimal disturbance analysis. The goal of modeling is to achieve control and structural and functional optimization of MS. Objective functions of these optimization models are focused on quantities which reflect the level of reliability, the level of manufactured products, the quality of products or the impact on the environment of MS with disturbances. These models do not allow a dynamic evaluation of consequences of the disturbances which appears in the operation of MS machines and also do not allow an evaluation of the evolution in time of disturbance consequence indicators. Disturbances in technological lines of MS represent local bottlenecks of production with severe economic consequences in what regards production time losses. Good estimation of disturbances dynamics can be very helpful to both technological line designers, who can optimize their projects and production managers who can minimize their losses. Our model allows a dynamic evaluation of consequences of some disturbance of machine operation in MS, using indicators based on time, energy and costs. A MATLAB software package was developed for tests.

Suggested Citation

  • Ioan Felea & Simona Dzitac & Tiberiu Vesselenyi & Ioan Dzitac, 2014. "Decision Support Model for Production Disturbance Estimation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 623-647.
    • Handle: RePEc:wsi:ijitdm:v:13:y:2014:i:03:n:s0219622014500576
    DOI: 10.1142/S0219622014500576
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    Cited by:

    1. Simona Dzitac & Sorin Nădăban, 2021. "Soft Computing for Decision-Making in Fuzzy Environments: A Tribute to Professor Ioan Dzitac," Mathematics, MDPI, vol. 9(14), pages 1-11, July.

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