Production Strategies of Companies in Machine Manufacturing Industry

2014 ◽  
pp. 240-297
Author(s):  
Vladimir Modrak ◽  
Sorin Mihai Radu
Keyword(s):  
Artificial Intelligence ◽  
Development Strategy ◽  
Manufacturing Industry ◽  
Central Place ◽  
Strategic Decisions ◽  
Industrial Companies ◽  
Regional Development Strategy ◽  
Production Strategies ◽  
Production Strategy ◽  
Advanced Production

In the portfolio of strategies of any industrial company, the production strategy occupies a central place. Preparing it is based on knowing well the technological process and its complexity. This chapter particularly studies the production strategies of the Romanian companies in the machine manufacturing industry (industrial machineries and equipment). It is recommended that the preparation of such a strategy would take into account the regional development strategy. In this context, the Advanced Production Strategies (APS) may successfully be used, which prefigure the transition to the machinist systems and then to systems based on artificial intelligence where an important role in preparing the production strategies is held by the systems based on artificial intelligence. The problem of elaborating some optimal strategic decisions is dealt with separately by using econometric models. In this context, the use of IT, respectively of expert systems, is essential in developing some very good strategies for industrial companies.

On the strategy for industrial development of Russia

2017 ◽  
pp. 45-59 ◽  
Author(s):  
V. Osmakov ◽  
A. Kalinin
Keyword(s):  
Foreign Trade ◽  
Development Strategy ◽  
Goal Setting ◽  
Industrial Policy ◽  
Industrial Development ◽  
Social Policies ◽  
Strategic Decisions ◽  
Territorial Planning

The article considers the problems of industrial policy and, accordingly, the industrial development strategy from the standpoint of the challenges facing the industry, the conditions for the adoption of strategic decisions and possible answers - the key directions of state activities. The main principles and directions are analyzed: investment, foreign trade, technological policies, certain aspects of territorial planning, state corporate and social policies. Proposals on the prospective goal-setting and possible results of industrial policy have been formulated.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

THEORETICAL ASPECTS OF STRATEGIC MARKETING APPLICATION IN THE CONTEXT OF SMART-SPECIALIZATION OF REGIONS

2017 ◽  
Author(s):  
Vitaliy Omelyanenko ◽  
◽  
Nadiia Artyukhova ◽  
Keyword(s):  
Development Strategy ◽  
Strategic Marketing ◽  
Practical Implementation ◽  
Competitive Advantages ◽  
Adoption And Implementation ◽  
Marketing Application ◽  
Regional Development Strategy ◽  
Important Research Topic ◽  
Systemic Nature ◽  
Smart Specialization

The most important task of the successful development and implementation of the regional development strategy is the adoption and implementation of well-grounded and timely management decisions aimed at increasing the attractiveness of the territory for target audiences. One of the directions of this realization is the creation and development of the competitive advantages of a particular territory. The steps taken in this direction in the regions of Ukraine are of a non-systemic nature and, as a rule, do not solve the problem comprehensively. This is due to the lack of both theoretical groundwork, on the basis of which it would be possible to develop a comprehensive strategy for the region, and an effective toolkit that ensures the systematic participation of stakeholders in the development and implementation of such a strategy. An important research topic is the consistency of the selected priorities with the goals of sustainable development, corresponding innovations within the framework of technological progress, which makes it relevant to use marketing tools to expand the analytical and communication tools of smart specialization. The purpose of this study is to analyze the possibilities of using strategic marketing for smart specialization tasks. Strategic marketing must be seen in the context of smart specialization, which is an innovative approach aimed at stimulating growth and job creation, allowing regions to define and develop their own competitive advantages. In the context of the practical implementation of the components of smart specialization as a process, strategic marketing can be considered as an active process with a long-term orientation, aimed at exceeding the average indicators in other regions by systematically pursuing a policy of creating a system of solutions that ensure the satisfaction of the needs of (current and prospective) stakeholders (current and potential) territories in a more efficient way than is possible in other regions. In the course of the study, it was determined that strategic marketing in the context of the practical implementation of smart specialization should be considered as a process of planning, developing and implementing strategic steps to gain a competitive advantage in selected areas. This process is necessary to map out the main goals of the region and find the most effective ways to achieve them.

FORMATION OF A REGIONAL DEVELOPMENT STRATEGY TAKING INTO ACCOUNT THE SPATIAL COMPONENT: ON THE EXAMPLE OF THE REPUBLIC OF BASHKORTOSTAN

2021 ◽  
Vol 0 (3) ◽  
pp. 65-70
Author(s):  
M.V. SHMAKOVA ◽  
Keyword(s):  
Regional Development ◽  
Development Strategy ◽  
Regional Strategy ◽  
Territorial Development ◽  
Economic Space ◽  
Spatial Component ◽  
Stage Of Development ◽  
Regional Development Strategy ◽  
The Republic ◽  
Practical Recommendations

The relevance of this study is determined by the need to improve the tools for developing strategies for the development of territorial socio-economic systems, taking into account the realities of the current stage of development. Among these realities are the formation of the economic space of the region and the limited resources for development, which determined the logic, goal and objectives of this study. The purpose of this study is to develop theoretical, methodological and practical recommendations for the formation of a regional development strategy taking into account the spatial component. To achieve this goal, the following tasks were formulated and solved: clarification of the essence and content of the category "economic space" as the basis for accounting for this category in strategic developments; identification of the features of regional development, taking into account the spatial component; development of principles and prerequisites for regional strategy taking into account the spatial component of development; formation of a scheme for accounting for the spatial component in the development of strategies for multi-level territorial entities; development and testing of a modified model of resource provision for territorial development strategies as an updated toolkit for regional strategy. The novelty of the results of this study lies in the development of theoretical, methodological and practical recommendations for using the spatial component in the formation of a regional development strategy, which, unlike existing developments, allow taking into account the properties and characteristics of economic space when developing a block for the distribution of territorial resources and thereby provide conditions for increasing the resulting parameters multilevel territorial entities and the region as a whole.

scholarly journals Research on machine learning Algorithm optimization based on 0-1 coding

2021 ◽  
Vol 2083 (4) ◽  
pp. 042086
Author(s):  
Yuqi Qin
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Manufacturing Industry ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Algorithm Optimization ◽  
The Core ◽  
Coding Method ◽  
Discrete Manufacturing

Abstract Machine learning algorithm is the core of artificial intelligence, is the fundamental way to make computer intelligent, its application in all fields of artificial intelligence. Aiming at the problems of the existing algorithms in the discrete manufacturing industry, this paper proposes a new 0-1 coding method to optimize the learning algorithm, and finally proposes a learning algorithm of “IG type learning only from the best”.

scholarly journals Profiles of human capital and strategic technological decisions on turbulence environment

2019 ◽  
Vol 7 (1) ◽  
pp. 39
Author(s):  
D. Pérez ◽  
L. Saiz-Bárcena ◽  
M.A. Manzanedo ◽  
A. Pérez
Keyword(s):  
Human Capital ◽  
Business Strategies ◽  
Strategic Decisions ◽  
Organizational Contexts ◽  
Industrial Companies ◽  
Technology Industry ◽  
Development Unit ◽  
Principal Finding ◽  
The Relationship ◽  
Decision Efficiency

<p>The objective of this article is to examine the absorptive capacity in the technology industry and aspires to recognize how firms can manage their strategic decisions in the turbulence contexts. In particular, we examine how organizations can strengthen their organizational contexts in order to absorb knowledge. From the knowledge management literature, this investigation extends our perception of the relationship between the human capital profiles (organization, research and development unit, and recent incorporations) and technological decision-making. Through the SEPI Foundation, a balanced panel of 1,220 Spanish industrial companies has used that answer to the Survey of Business Strategies (SBS) for a threeyear period, which signifies a total of 3,660 cases. The principal finding is the presence of high levels of human resources to understand a decision efficiency process. It also highlights its relationship to the firm’s technological committee. These contributions are notable for both researchers and practitioners. It could be stimulating to expand the study to the association between human capital profiles and other strategic technological decisions, as the preparation of an innovation plan or the measurement of innovation performance.</p>

Sign in / Sign up

Export Citation Format

Share Document