MAGAZINE  №6 (101) December 2020


CATEGORY Information technologies in logistics and SCM Supply chain management




 Currently businesses are adapting their business processes to the ever-changing market conditions. This involves a continuous monitoring and improvement of business processes. Process Mining is a useful approach to automated reconstruction of business process models from event logs collected from a company's information systems, and to detecting deviations from the assumed process model and monitoring of process KPIs. There is a growing trend towards implementing Process Mining tools in logistics and supply chain management. This paper presents key concepts of Process Mining. The methods are illustrated with a practical example of a logistical process analysis. We consider three main types of Process Mining. Finally, an overview of research and business cases for Process Mining in logistics and
supply chain management are provided.

 Electronic version

 Keywords:  Process mining business process process analytics BPM supply chain management digital twin

MAGAZINE  №4 (99) August 2020


CATEGORY Analytics and reviews Information technologies in logistics and SCM Modern concepts and technologies in logistics and SCM Simulation modelling



The article provides analysis of the main directions and technologies of artificial intelligence and their application in digital supply chains; specifies prospects of intelligent information systems application to improve interorganizational cooperation and participants’ collaboration in integrated and network structures of supply chains. Particular attention is paid to the research of possibilities of modern multi-agent technologies and intelligent systems in supply  chain management aimed at interorganizational cooperation of partners, conflict management and consensus reaching between network partners, real time risk management, dynamically reconfigurable network structure formation of supply chains.


 Electronic version

 Keywords: supply chain management Artificial Intelligence AI knowledge management multiagent systems digital twin

MAGAZINE  №3 (98) June 2020


CATEGORY  Controlling Retail companies’ corporate logistics Modern concepts and technologies in logistics and SCM Supply chain management



It is shown that the concept of «Digital Twin» is becoming an increasingly popular method of solving key problems in supply chain management, in particular, when monitoring logistics business processes. A detailed analysis of literary sources and Internet resources on the subject of digital twins is carried out. The basic terminology, the terms of «Digital Twin» and of similar concepts, such as «digital footprint», «digital shadow», «digital thread», are given. The basic properties (characteristics) of digital twins and the advantages obtained by using this concept in supply chains are considered. The methodological aspects of the Digital Twin concept are analyzed both in the academic environment and in the context of the practice of large companies.
It is shown that the problem of monitoring consumer goods can be effectively solved using digital counterparts of the FMCG sector supply chains.
The main variants of the Supply Chain Digital Twin «design» are presented. An FMCG supply chain monitoring system using convergence of digital twins of products and processes in the chain is proposed. An example of the construction of a monitoring system in the supply chain of GHIOTTONE consumer goods using the digital counterparts of the main processes represented by the SCOR model is considered.


 Electronic version

 Keywords:   digital twin supply chain digital transformation monitoring FMCG SCOR

MAGAZINE  №1 (96) February 2020


CATEGORY  Information technologies in logistics and SCM Modern concepts and technologies in logistics and SCM




The article considers problems of supply chain digital transformation. A framework for supply chain digital transformation consisting of four basic elements is proposed: digitalization of customer experience, digitalization of products and services, digitalization of operations / processes, digital transformation of a company / supply chain. The content (functional) structure of four frame blocks is defined and the main components (systems, technologies) that make up the digital content of the framework are described in detail.

The authors created a diagram (algorithm) of the supply chain digitalization process that includes three main stages: awareness of the need for digitalization, digital vision and strategy, a digital chain transformation technique as such.

The process of supply chain digital transformation itself includes a number of design decisions related to the formation of a communication network structure (Multi Party Network), in particular, using Blockchain technology, an integrated supply chain planning system, the Digital Twin ecosystem, as well as a digital platform control and monitoring of events in the supply chain (Supply Chain Control Tower).

 Electronic version

 Keywords: Framework digital transformation Digital Supply Chain Digital SCM methodology digital twin Blockchain multi party network

MAGAZINE  №2 (91) April 2019


CATEGORY Controlling Information technologies in logistics and SCM



The advanced concept of control, monitoring and management of complex supply chains «Supply Chain Control Tower – SCCT» is considered. The basic terminology is given, the problematics is indicated and the key stages of the evolution of the SCCT concept are analyzed in the direction of increasing the maturity level of projects from version CT 1.0 to version CT
4.0. The shortcomings of earlier versions of the Control Tower (1.0-2.0) are analyzed. The article describes the design methodology of modern SCCT, including ensuring end-to-end visibility of the supply chain, building and exchanging data in a Multi-party Network, synthesis of a digital model – a twin of the physical supply chain; creation of information hubs for reli-
able storage and transmission of information using digital technologies, in particular, the blockchain. Examples of the implementation of the Control Tower 4.0 company One Network are set. The advantages of using advanced versions of Control Tower 4.0 for controlling and adaptive management of complex supply chains using predictive analytics and artificial intelligence are shown.

 Electronic version



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