Open AccessEconomic evaluation of mathematical methods application in the management systems of electronic component base development for forest machines
Author(s) -
Tatyaovikova,
Arthur Novikov
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/392/1/012035
Subject(s) - computer science , process (computing) , component (thermodynamics) , high tech , product (mathematics) , systems engineering , engineering management , process management , risk analysis (engineering) , management science , operations research , engineering , business , physics , geometry , mathematics , political science , law , thermodynamics , operating system
Machines and equipment used in contemporary forestry are based on electronic components. Development, design and production of high-tech products such as chip, IP-cores and other is a complex and expensive process. The cost of an error at one stage of the product life cycle can reach from several tens of thousands of dollars to hundreds of thousands or more if a faulty chip gets into the finished product.– an airplane, a rocket, a spacecraft, a nuclear power plant, etc.). Therefore, the process of management of high-tech industries needs informed management decisions. Management should be based on modern technical means, specialized software, management information systems and integration of the latter. When developing complex systems, it is not enough to make decisions based on an intuitive understanding of the problem by the decision maker. The use of mathematical methods in management systems will provide impartiality, adequacy, and optimality of solutions, taking into account all qualitative and quantitative factors. The study provides an example of the use of mathematical apparatus in the management of high-tech industries, the economics assessment of errors in management. The study will be interesting for decision-makers, top managers of high-tech industries, scientists, students, masters, graduate students in the field of management and management decision-making.