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Initial states and transitional expenses in production and transport systems optimization

Author

Listed:
  • Anatoliy KHOLODENKO

    (Odessa National Maritime University, Odessa, Ukraine)

  • Victoria GUSAK

    (Odessa National Maritime University, Odessa, Ukraine)

Abstract

The production and transport systems optimization models, as well as classical transport or distributive problems, mainly concentrate on finding of the plan, optimum according to own characteristics, and don't take into account costs on system transition from its given (initial) state to defined as optimum. The neglect of such transitional expenses leads to certain losses of the corresponding models’ adequacy and to obtaining the absolutely-optimal solution, which is invariant to initial system state. In our paper we introduce and investigate the notion of relatively-optimal plans. The basic types of dependences of relatively-optimal plans and maximum achievable profit on the production and transport system initial state under the different functions of transitional expenses are determined. Corresponding computer calculations are also carried out and confirmed our theoretical results and conclusions. From the mathematical point of view, the accounting of initial states and the transitional expenses, on the one hand, complicates the corresponding models and computing processes, however on the other hand – does the models even more interesting, creates additional non-trivial effects

Suggested Citation

  • Anatoliy KHOLODENKO & Victoria GUSAK, 2022. "Initial states and transitional expenses in production and transport systems optimization," Access Journal, Access Press Publishing House, vol. 3(3), pages 292-306, July.
  • Handle: RePEc:aip:access:v:3:y:2022:i:3:p:292-306
    DOI: 10.46656/access.2022.3.3(8)
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    References listed on IDEAS

    as
    1. Grazia Speranza, M., 2018. "Trends in transportation and logistics," European Journal of Operational Research, Elsevier, vol. 264(3), pages 830-836.
    2. Guajardo, Mario & Rönnqvist, Mikael & Flisberg, Patrik & Frisk, Mikael, 2018. "Collaborative transportation with overlapping coalitions," European Journal of Operational Research, Elsevier, vol. 271(1), pages 238-249.
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    More about this item

    Keywords

    absolutely and relatively optimal plans; optimization models; profit;
    All these keywords.

    JEL classification:

    • 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
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy

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