MAGAZINE №2(85) April 2018

AUTHORS DYBSKAYA V.V.SERGEEV V.I.

CATEGORY  Analytics and reviews Supply chain management Modern concepts and technologies in logistics and SCM

ABSTRACT

The article looks at the main tendencies of SCM ideology development worldwide. Basing on the analysis of the reports of the largest analytical and IT companies on the theme under consideration, the article reveals key factors and drivers determining the SCM concept development in the midterm. The best practice of the leading logistic and SCM companies is researched; Gartner Research, in particular, provides a list of Top 25 best international companies using SCM in 2017.

The article analyzes Gartner Research recommendations on implementing the best SCM solutions and technologies in business organizations. SCM challenges and barriers in Russian companies are identified. It is determined that world SCM leaders particularly focus on implementation of digital technologies, such as RFID, Mobile app, Big Data, Cloud Services, IoT, BlockChain, 3DPrinting and others. It is shown that besides SCM digitalization, the leaders pay attention to supply chain segmentation, business client focus, improvement of stability, dynamics and transparency of supply chains.          

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Published in Analytics and reviews

MAGAZINE №3(86) June 2018

AUTHORS  IVENIN R.E. - expert, Logistics Network Development, SIBUR (Moscow, Russia)

CATEGORY  Analytics and reviews Information technologies in logistics and SCM

 

ABSTRACT

Nowadays, it is necessary to capture accumulate, analyze and manage a huge amount of data while managing logistics processes. However, the world’s amount of data is generated with an exponentially growing pace and current IT tools are becoming inadequate. To solve potential problems, the Big Data concept was created. The idea is to accumulate, store, analyze and manage the amount of data that significantly exceed the functionality of traditional systems. The article touches upon the definition of Big Data and Big Data Analytics, which include modern techniques for processing big data sets to search for hidden pattern which allow making better decisions and improve business efficiency. In addition, the article examines the main approaches to the systematization of types of analytics and analytical techniques used to process data and generate conclusions for decision-makers. The author considers the influence of different cases on processes in supply chains. However, despite the benefits already achieved in the implementation of Big data processing technologies, further development of the implementation methodology is required. 

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Published in Analytics and reviews

MAGAZINE №6 (83) December 2017

AUTHORS  LUKINSKIY V.S., STRIMOVSKAYA A.V. 

CATEGORY  Controlling Analysis in logistics and SCM

ABSTRACT

There is no unambiguous answer to what is the driver for modern logistics. According to practicing logisticians, optimal solutions can be found only during the process of physical distribution. From the point of view of academic science, all optimization issues in logistics are determined at the stage of theoretical background and project design.  Obviously, a more complex approach to solve the problem of increasing competitiveness by means of efficient supply chain management can be found only as a result of synergy between both theoretical research and practical experience. This statement is mostly applicable to a situation when the market is full of goods, and the need for optimizing procedures is recognized not only on the level of logistics, but on the level of all current operations in the national and world economy as well.

The peculiarity of the modern stage of logistics development is in rapid IT implementation of all distribution processes, from the point of origin to the final consumer. This is due to increased manufacturing scale and world trading volume (which has exceeded 8% this year, according to WTO). Hereby it’s crucial to realize that behind each sophisticated software there is a whole complex of analytical models and methods. That is why to be competitive, enterprises should pay special attention to developing analytical approaches to face logistics business challenges. 

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