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Computational Modelling Of The Parallel Logistic System

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  • Robert BUCKI
  • Petr SUCHÃ NEK

Abstract

The paper highlights the problem of mathematical modelling of the highly complex logistic system consisting of parallel production lines. Each production route is arranged in a series of stands equipped with manufacturing machines. It is assumed that all production lines are identical. Each production stand performs a manufacturing operation with the use of the specified tool. Tools get worn out and require either regeneration or immediate replacement. The tool subjected to regeneration can be regenerated a certain number of times only. When this number is reached, the tool must be replaced with a new one. The logistic system is controlled by a determined heuristic algorithm. The production process is optimized by means of the stated criterion respecting defined bounds. Adequate equations of state illustrate the flow of charge material. The time scaling method in order to search for the satisfactory solution with the use of the simulation method is proposed.

Suggested Citation

  • Robert BUCKI & Petr SUCHÃ NEK, 2012. "Computational Modelling Of The Parallel Logistic System," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(1(19)/ Sp), pages 17-23.
  • Handle: RePEc:ush:jaessh:v:7:y:2012:i:1(18)_spring2012:p:17
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    File URL: http://www.jaes.reprograph.ro/articles/Spring2012/articles/Bucki,Robert;Suchanek,Petr..pdf
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    References listed on IDEAS

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    1. Petr SUCHÃ NEK & Robert BUCKI, 2011. "Method Of Supply Chain Optimization In E-Commerce," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 6(3(17)/ Fa), pages 257-263.
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    Cited by:

    1. Sylvia Jencova & Eva Litavcova & Tadeas Litavec, 2015. "Quantification Of Funding And Analysis Of The Financial Position Of Engineering Companies In The Slovak Republic," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 12(2), pages 79-90, DEcember.

    More about this item

    Keywords

    modelling; parallel logistic system; simulation; heuristic algorithms; time-scaling;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • M29 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Other

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