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Digital algorithms for supply chain automation of mechanical engineering production
Author(s) -
L. N. Borisoglebskaya,
С. М. Сергеев,
E N Provotorova,
A. A. Zaslavskiy
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/4/042025
Subject(s) - automation , supply chain , computer science , production (economics) , work flow , supply chain management , matching (statistics) , manufacturing engineering , production line , industry 4.0 , industrial engineering , engineering management , engineering , business , economics , marketing , mechanical engineering , statistics , mathematics , macroeconomics , embedded system
The modern concept of the developing engineering production is based on a digital interaction. At the same time, management of all related processes is possible due to a digital shadow at each stage of work. This primarily related to supply, marketing and interoperational units within the enterprise. The solution of the automation problems of the industrial production, matching to the priorities of the Industry 4.0 program is ought to begin with the organization of the inter-machine interaction M2M. This article presents the results of a study devoted to a search for optimal algorithms for managing the flow of goods and cargoes of the engineering production in modern supply chain management concepts such as 3PL logistics, pick-by-line, cross-docking, as well as ensuring the implementation of managerial decision-making systems based on outrunning economic indicators.

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