Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)

Mathematical modeling in economics for company logistics costs management in the context of additive technologies application

Authors
Natalia Alekseevna Gviliya, Tatyana Tikhonovna Tsenina, Honli Guo
Corresponding Author
Natalia Alekseevna Gviliya
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DOI
https://doi.org/10.2991/icdtli-19.2019.77How to use a DOI?
Keywords
logistics costs, additive technologies, production-logistic costs, costs associated with information processes and supply chain management, mathematical modeling in economics, Chinese enterprises, digital transformation of supply chains.
Abstract
Purpose of this study is advancing of scientific-methodological and applicative tools which are designed to enable management of logistics costs borne by enterprise-participant of Russia-China goods exchange and which is integrating additive technologies. The authors made up the economic-mathematic model which is demonstrating the impact of particular factors causing structural change of China's costs - logistic, currency-related and investment. Modeling was performed with the use of multiple regression analysis method based on 2008-2017 data package. "Quandl" aggregator was used in capacity of data source. The authors brought to light priorities in the sphere of logistics costs management exercised by the company fulfilling additive technologies integration; it was demonstrated that production-logistics costs as well as costs associated with information-related processes and supply chains management are to a greater extent exposed to transformation under the impact of additive technologies integration. The authors have examined and made up two possible forms of conventional supply chain structural transformation caused by the impact of additive technologies: supply chains "3D shop" and "Home print" both of which were developed with active use of digital technologies. The authors have also developed (i) a matrix of logistics costs of an enterprise which is integrating additive technologies and maintaining single-part and small-batch production as well and (ii) a model enabling the user to calculate logistics costs of an enterprise which is integrating additive technologies and maintaining single-part and small-batch production at pre-production phase. Use of proprietary technology enables the enterprise to forecast (1 month in advance) the percent of unsecured logistic costs and compensate them at the expense of currently fulfilled orders and thus allows to considerably improving efficiency of logistics costs calculation for the enterprise which is integrating additive technologies, and, therefore, ramp up efficiency of management thereof.
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Proceedings
International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)
Publication Date
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ISBN
978-94-6252-799-7
DOI
https://doi.org/10.2991/icdtli-19.2019.77How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Natalia Alekseevna Gviliya
AU  - Tatyana Tikhonovna Tsenina
AU  - Honli Guo
PY  - NaN/NaN
DA  - NaN/NaN
TI  - Mathematical modeling in economics for company logistics costs management in the context of additive technologies application
BT  - International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icdtli-19.2019.77
DO  - https://doi.org/10.2991/icdtli-19.2019.77
ID  - GviliyaNaN/NaN
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