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Optimization of Commodity Flows- The Case of Bakery Enterprises of Ukraine

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  • Iryna Іvashkiv
  • Halyna Kupalova
  • Natalia Goncharenko
  • Julia Khrutba
  • Iryna Vovk

Abstract

In the conditions of the active development of the market of logistic services, the growth of the cost of fuel and lubricants, as well as the increase of environmental requirements for the operation of the motor transport park an important reserve for improving the efficiency of enterprises and reducing the anthropogenic impact on the environment is to optimize their commodity flows. The purpose of the article is to develop a model of optimization of commodity flows of enterprises of the bakery industry, which allows to ensure timely delivery of raw materials and products with minimization of economic and environmental costs. Methodology. The methodological basis of investigation was a linear programming method adapting the transport task to the specifics of the baking industry. Authors developed the model of optimization the commodity flows of the enterprises is based on the criteria of the efficiency of the logistic using the system of indicators: economic (costs for distribution and delivery of products) and environmental (costs for reducing the anthropogenic load on the environment). It is proposed to determine the optimal sales channels of products based on the integral indicator of the efficiency of organization of commodity flows, which includes economic and environmental efficiency, weighted by the factors of importance established by expert way.

Suggested Citation

  • Iryna Іvashkiv & Halyna Kupalova & Natalia Goncharenko & Julia Khrutba & Iryna Vovk, 2019. "Optimization of Commodity Flows- The Case of Bakery Enterprises of Ukraine," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(3), pages 205-216.
  • Handle: RePEc:mje:mjejnl:v:15:y:2019:i:3:205-216
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    Cited by:

    1. Shouzhen Zeng & Yingjie Hu & Tomas Balezentis & Dalia Streimikiene, 2020. "A multi‐criteria sustainable supplier selection framework based on neutrosophic fuzzy data and entropy weighting," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1431-1440, September.

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