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Total cost optimisation model for logistics systems of trading companies

Author

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  • Dmitriy S. Rybakov

Abstract

The purpose of this research is to develop a model for optimising total logistics costs of a trading company. To achieve the aim, a logistics system has been analysed and, as a result, major subsystems, logistics processes and most substantial logistics costs have been identified. The results of the analysis have been used to elaborate conceptual and structural optimisation models. They have been further used to develop a mathematical model considering both direct and indirect costs. The mathematical model has been tested numerically, so a table model has been worked out. The research has resulted in a Boolean linear programming model for determining the values of the indicators of the order cycle time and stock level, ensuring optimal total logistics costs of a trading company. Strategic objectives have been decomposed into the goals of individual departments, expressed with the target values of the indicators of lead time and cargo turnover.

Suggested Citation

  • Dmitriy S. Rybakov, 2017. "Total cost optimisation model for logistics systems of trading companies," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 27(3), pages 318-342.
    • Handle: RePEc:ids:ijlsma:v:27:y:2017:i:3:p:318-342
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    Cited by:

    1. Sebastjan Škerlič & Robert Muha, 2020. "A Model for Managing Packaging in the Product Life Cycle in the Automotive Industry," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    2. Sebastjan ŠKERLIČ, 2020. "Factors That Influence Logistics Decision Making In The Supply Chain Of The Automotive Industry," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 15(3), pages 117-126, September.
    3. Alexey Shmatko & Sergey Barykin & Sergey Sergeev & Anuphat Thirakulwanich, 2021. "Modeling a Logistics Hub Using the Digital Footprint Method—The Implication for Open Innovation Engineering," JOItmC, MDPI, vol. 7(1), pages 1-16, February.

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