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Asymptotic Methods in Optimization of Inventory Business Processes

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dc.contributor.author Horoshkova, Lidiіa
dc.contributor.author Khlobystov, Yevgen
dc.contributor.author Volkov, Volodymyr
dc.contributor.author Holovan, Olha
dc.contributor.author Markova, Svitlana
dc.date.accessioned 2020-07-21T12:52:31Z
dc.date.available 2020-07-21T12:52:31Z
dc.date.issued 2019
dc.identifier.citation Asymptotic Methods in Optimization of Inventory Business Processes [electronic resource] / Lidiіa Horoshkova, Ievgen Khlobystov, Volodymyr Volkov, Olha Holovan, Svitlana Markova // Advances in Economics, Business and Management Research. - 2019. - Vol. 99. - P. 58-62. en_US
dc.identifier.uri https://doi.org/10.2991/mdsmes-19.2019.12
dc.identifier.uri http://ekmair.ukma.edu.ua/handle/123456789/17708
dc.description.abstract The use of inventory management models enables the management of the company to optimize logistics business processes and to reduce fixed and variable costs of production, order and sales. The study proposes a multi- nomenclature model for optimizing inventory business processes using asymptotic methods. An easy-to-use analytical formula for determining optimal order interval, when order and inventory holding costs meet insufficient cyclical changes, is obtained. Testing of the developed model of optimization of inventory business processes was carried out on the example of the enterprise operating in the HoReCa segment of Zaporizhzhia the regional market. The proposed multi- nomenclature inventory management model enables the company management to apply situational management of these processes, modeling the changes caused by increased product storage costs and order fulfillment. en_US
dc.language.iso en uk_UA
dc.subject logistic model en_US
dc.subject small parameter en_US
dc.subject asymptotic methods en_US
dc.subject total logistical costs en_US
dc.subject multi- nomenclature order en_US
dc.subject article en_US
dc.title Asymptotic Methods in Optimization of Inventory Business Processes en_US
dc.type Article uk_UA
dc.status first published uk_UA
dc.relation.source Advances in Economics, Business and Management Research en_US


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