A Process Approach to Digital Value Supply Chain Management
EDN: ZEIJPB
Abstract
The purpose of this article is to clarify and supplement the process approach to value supply chain management, focusing on creating digital twins, simulations, and developing management decisions with minimal losses.
To achieve this purpose, terminological analysis, descriptive and facet methods of qualitative research were used. These methods allow us to form identification series, create standards (virtual copies) of management objects, develop and study binary matrices that form the basis of a digital twin for value supply chain management.
The following results are obtained in the article: options for the interaction between nonphysical (virtual) and physical (real) objects in value supply chain management are justified; the essence and content of the process approach to management are clarified and supplemented; components and processes for creating and using a digital twin for value supply chain management are defined; and functions of owners of processes using this digital twin are described.
The originality of the research lies in the use of identification series to measure and digitize non-physical objects in value supply chain management, in order to develop effective management decisions using a digital twin aggregate containing the following blocks: consumer value, management system, chain in statics, chain in dynamics, environmental factors, management decision, and organizational management structure.
About the Authors
A. P. Tyapukhin
Orenburg Branch of the Russian Presidential Academy of National Economy and Public Administration
Russian Federation
Russian Federation
Alexey P. Tyapukhin, Professor, Professor of the Department of Digital Economics and Logistics, Doctor of Economics
Orenburg
D. A. Starkov
PJSC Gidropress
Russian Federation
Russian Federation
Dmitry A. Starkov, Director of Development
Orenburg
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Tyapukhin A.P., Starkov D.A. A Process Approach to Digital Value Supply Chain Management. Administrative Consulting. 2025;(3):121-130. (In Russ.) EDN: ZEIJPB
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