Horoshkova, LidiіaKhlobystov, YevgenVolkov, VolodymyrHolovan, OlhaMarkova, Svitlana2020-07-212020-07-212019Asymptotic 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.https://doi.org/10.2991/mdsmes-19.2019.12https://ekmair.ukma.edu.ua/handle/123456789/17708The 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.enlogistic modelsmall parameterasymptotic methodstotal logistical costsmulti- nomenclature orderarticleArticle