Open AccessPlanning methods of modernization of industrial enterprises using graph models
Author(s) -
Svetlana Lukina,
Елена Дмитриевна Коршунова,
M F Dobrolyubova
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/709/4/044020
Subject(s) - modernization theory , flexibility (engineering) , computer science , process (computing) , manufacturing engineering , multitude , graph , macro , industrial engineering , business , engineering , economics , theoretical computer science , management , philosophy , epistemology , economic growth , operating system , programming language
This paper presents the methods of compiling programs aimed at modernizing industrial enterprises of various purposes. These methods help to form the entire sum of all permissible alternative options of modernization programs at initial stages for their subsequent evaluation and comparison. The basis of the method is a ten-graph model that defines a number of options for implementing individual structural components of the modernization program, such as the range of products manufactured, the technological process of manufacturing primary components, the main equipment, the cutting tools and accessories, organization of the manufacturing process, enterprise staff, suppliers of materials and components, financing plans for the modernization program, and the parameters of external macro environment of the enterprise in question. A mathematical model used to form a multitude of alternative options of modernization programs, employing algorithms of searching into the graph depth and width, has been developed. The developed method may be employed to form options for the modernization of industrial enterprises of various purposes. Industrial testing of the developed method has demonstrated its efficiency and flexibility in solving various problems linked to modernization of industrial enterprises.