scholarly journals Effects of Natural Geographic Features on the Manufacturing Industry in Sanliurfa, Turkey

2019 ◽  
Vol 33 (1) ◽  
pp. 89-105
Author(s):  
Mehmet Sait Şahinalp
Keyword(s):  
Manufacturing Industry ◽  
Volcanic Rocks ◽  
Economic Activities ◽  
Textile Mill ◽  
Industrial Plants ◽  
Industrial Activities ◽  
Industrial Enterprises ◽  
Main River ◽  
Hydrographic Features ◽  
Physical Features

Geographical features of a place have an important effect on distribution, location, aglomeration and a variety of industrial activities. Social and economical features, along with natural geographic features such as geology, geomorphology, climate, natural vegetation, soil properties and hydrographic features also have a significant effect on industry. This study aims at determining how physical geographic features affect categories of industrial activities in Sanliurfa. For this purpose, firstly, physical geographic features of Sanliurfa and statistical data on agricultural and industrial activities in Sanliurfa were obtained. Then, effects of these physical features on other economic activities and the influence of those features on the distribution of industrial plants and industrial activities were analysed in terms of distribution, relation and casuality principles. Geological formations in Sanliurfa province occured in Neogene and also in Quaternary. These formations mostly consist of Neogene limestone, Quaternary basaltic volcanic rocks and alluvial soils. Geomorfically Sanliurfa is a slightly hilly place with plateaus and plains. The main river in Sanliurfa is the Euphrates – the biggest river of Turkey. Naural vegatation of Sanliurfa consists of steppe. These physical geographic fetaures of Sanliurfa cause intensive agricultural activites all across the province. Sanliurfa province covers 18,584 km² and 60% of this area is convenient for agriculture. As a consequence, the majority of manucturing industry in Sanliurfa is agro-based, such as food, textile, mill and apparel industries. While these categories constitute 65.43% of all industrial enterprises, the share of enterprises involving stone, clay, glass, and concrete industry is 11%, and lumber and wood industry share is only 2%.

scholarly journals The Structure, Development and Spatial Distribution of Industrial Activities in Turkey

2017 ◽  
Vol 31 (4) ◽  
pp. 52-70
Author(s):  
Kadir Temurçin ◽  
Yolcu Aldırmaz
Keyword(s):  
Spatial Distribution ◽  
Manufacturing Industry ◽  
Structural Features ◽  
Economic Transformation ◽  
Raw Material ◽  
Marmara Region ◽  
Industrial Activities ◽  
Aegean Region ◽  
Industrial Enterprises ◽  
The Impact

This study deals with the development of industry which is one of the most important elements of socio-economic transformation in Turkey, its structural features, spatial distribution, as well as the factors that influence it. Industrialization movements started in Turkey in 1963 with planned development moves and accelerated as a result of the impact of liberal policies implemented, in and after the year 1980. Initially, industrial activities concentrated in metropolitan areas and subsequently started to expand to other areas in the country, in time with a view on regional development as a result of factors such as development plans, applied initiative policies, current raw material resources and transport. However, there are still major disparities in the distribution of the manufacturing industry, enterprises, employees, exporting and importing within the country. In fact, according to data for 2014, 43.9% of manufacturing industrial enterprises and 47.4% of employees are concentrated in the Marmara Region. The Marmara Region is followed by the Central Anatolian Region with 13.8% and 15.3% and the Aegean Region with 14% and 15.2% in terms of manufacturing industrial enterprises and employees respectively. Furthermore, 69.7% of exports and 76.9% of imports are processed in the Marmara Region which is followed by 9.6% and 7.7% in the Aegean Region and 8.2% and 7.4% in the Central Anatolian Region respectively. In terms of provinces, industry is concentrated in Istanbul, Izmir, Ankara, Bursa, Konya, Gaziantep, Antalya, Adana, Kocaeli and Denizli in Turkey. These provinces consist of 64% of enterprises and 65.7% of employees in Turkey. Data acquired from Turkish Statistical Institute (Turkstat) and the Ministry of Science, Industry and Technology has been assessed with the use of ArcGis program.

Implementaon of digital economy elements in electric power industry

2018 ◽  
Vol 11 (2) ◽  
pp. 94-102 ◽  
Author(s):  
A. G. Filimonov ◽  
N. D. Chichirova ◽  
A. A. Chichirov ◽  
A. A. Filimonovа
Keyword(s):  
Electric Power ◽  
Energy Production ◽  
Predictive Analytics ◽  
Digital Economy ◽  
Digital Transformation ◽  
Cloud Services ◽  
Small Scale ◽  
Economic Activities ◽  
Industrial Enterprises ◽  
Automation Systems

Energy generation, along with other sectors of Russia’s economy, is on the cusp of the era of digital transformation. Modern IT solutions ensure the transition of industrial enterprises from automation and computerization, which used to be the targets of the second half of the last century, to digital enterprise concept 4.0. The international record of technological and structural solutions in digitization may be used in Russia’s energy sector to the full extent. Specifics of implementation of such systems in different countries are only determined by the level of economic development of each particular state and the attitude of public authorities as related to the necessity of creating conditions for implementation of the same. It is shown that a strong legislative framework is created in Russia for transition to the digital economy, with research and applied developments available that are up to the international level. The following digital economy elements may be used today at enterprises for production of electrical and thermal energy: — dealing with large amounts of data (including operations exercised via cloud services and distributed data bases); — development of small scale distributed generation and its dispatching; — implementation of smart elements in both electric power and heat supply networks; — development of production process automation systems, remote monitoring and predictive analytics; 3D-modeling of parts and elements; real time mathematic simulation with feedback in the form of control actions; — creating centres for analytical processing of statistic data and accounting in financial and economic activities with business analytics functions, with expansion of communication networks and computing capacities. Examples are presented for implementation of smart systems in energy production and distribution. It is stated in the paper that state-of art information technologies are currently being implemented in Russia, new unique digital transformation projects are being launched in major energy companies. Yet, what is required is large-scale and thorough digitization and controllable energy production system as a multi-factor business process will provide the optimum combination of efficient economic activities, reliability and safety of power supply.

The technological transformation of Russia's industrial sectors: Difficulties and prospects

2020 ◽  
Vol 16 (9) ◽  
pp. 1674-1697
Author(s):  
O.P. Smirnova ◽  
A.O. Ponomareva
Keyword(s):  
Production Method ◽  
Industrial Sector ◽  
The State ◽  
Industrial Complex ◽  
Economic Activities ◽  
Resource Saving ◽  
Technological Transformation ◽  
Modern Approach ◽  
Industrial Enterprises ◽  
Industrial Sectors

Subject. The article focuses on contemporary trends in the industrial and socio-economic development of Russia during the technological transformation of its sectors. Objectives. The study is an attempt to analyze what opportunities and difficulties may arise for the development of the industrial sectors in Russia. We also examine the dynamics of key development indicators of the industrial sectors, point out inhibitors of their competitiveness. Methods. The methodological framework comprises general methods of systems, structural-functional and comprehensive approaches to analyzing economic phenomena. We applied graphic, economic-statistical methods of research, conventional methods of grouping, comparison and generalization, and the logic, systems and statistical analysis. Results. We display how industrial sectors develop over time by type of economic activities. The article provides the rationale for structural rearrangements and further innovation-driven development of the industries. We display that the Russian industries technologically depend om imported production technologies. We substantiate the renewal of assets and technologies at industrial enterprises, and retain and develop human capital. Conclusions and Relevance. Primarily, the Russian economy should be digitalized as a source of the long-term economic growth. Notably, industrial enterprises should replace their linear production method with that of the circular economy and implement resource-saving innovative technologies. The State evidently acts as the leading driver of technological retrofitting of the industrial sector. If the State holds the reasonable and appropriate industrial policy at the federal and regional levels and configure its tools to ensure the modern approach to developing the industries in a competitive fashion, the industrial complex will successfully transform into the innovative economy.

ANAAC AND HIGHER EDUCATION IN, INDIA

2018 ◽  
Vol 6 (26) ◽  
Author(s):  
Seema Singh
Keyword(s):  
Higher Education ◽  
Quality Assurance ◽  
Manufacturing Industry ◽  
Practical Experience ◽  
Individual Autonomy ◽  
Economic Activities ◽  
Quality Of Higher Education ◽  
National Quality ◽  
Education In India

Quality, as we know so far, was originally developed in the manufacturing industry. In the area of higher education, the adoption of quality control has been superficial and diluted by the exercise of academic . Further, the prevailing culture of universities is often based on individual autonomy, which is zealously guarded. Thus, it is usually difficult to apply the features of quality to higher education considering the fact that quality requires. However, the quality of higher education is very important for its stakeholders. Notably, providers (funding bodies and the community at large), students, staff and employers of graduates are. The most commonly grouped dimensions of quality are product, software and service. In the changing context marked by expansion of higher education and globalization of economic activities, education has become a national concern with an international dimension. To cope with this changing context, countries have been pressurized to ensure and assure quality of higher education at a nationally comparable and internationally acceptable standard. Consequently, many countries initiated “national quality assurance mechanisms” and many more are in the process of evolving a suitable strategy. Most of the quality assurance bodies were established in the nineties and after a few years of practical experience, they are rethinking many issues of quality assurance. At this juncture where countries look for experiences and practices elsewhere, the experience of India has many valuable lessons and this report is an attempt to share those developments..

Methodological approaches to assessing the digitalization scale in types of economic activity in the region and the potential of digital technologies for the real economy

2021 ◽  
Vol 17 (8) ◽  
pp. 1519-1541
Author(s):  
Vitalii V. PECHATKIN ◽  
Liliya M. VIL'DANOVA
Keyword(s):  
Methodological Approach ◽  
Import Substitution ◽  
Digital Technologies ◽  
Industrial Sector ◽  
Digital Transformation ◽  
Real Economy ◽  
Economic Activities ◽  
The Real ◽  
Industrial Enterprises ◽  
Methodological Approaches

Subject. As digital technologies spread across all industries, active processes of digital transformation need to be managed both nationally and regionally. Assessing the extent of digitalization across types of economic activities is the key issue for setting up the socio-economic development strategy of the region and evaluating its efficiency. Objectives. The study is aimed to formulate and test methodological approaches to assessing the digitalization in types of economic activities and the potential of digital technologies for the real economy. Methods. The study relies upon the dialectical method, systems approach, questionnaires, expert approach, interpretation of empirical facts through tables, etc. Results. We devised a methodological approaches to assessing the extent of digitalization in types of economic activities across regions. The approach combines the quantification and evaluation of the process and helps determine the extent of local digital transformation at the regional level. We devised and tested the methodological approach to rating digital technologies, which have the high potential for raising the competitiveness and resilience to competition of the industrial sector in the Russian regions. As opposed to the existing approaches, the approach accounts for the current scale of digital technologies in the national economy, the potential for growth in the demand and supply in the domestic and foreign markets, and the potential for import substitution with respect to foreign technologies and products. Conclusions and Relevance. What makes the proposed methodological approaches more preferable is that they help assess not only the extent of digitalization in types of economic activities and the predominance of certain types in industrial enterprises, but also determine their potential for import substitution in terms of digital security.

INTELLIGENT OPTIMIZATION SYSTEM FORMULATED ON INDUSTRIAL INTERNET PLATFORM

2021 ◽  
Vol 71 (10) ◽  
pp. 75-79
Author(s):  
Sabuhi Farasat Rahimli ◽  
Keyword(s):  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Data Gathering ◽  
Intelligent Optimization ◽  
Industrial Economy ◽  
Optimization System ◽  
Industrial Enterprises ◽  
Huge Data ◽  
Industrial Internet ◽  
Internet Platform

The opinion of "Industrial Internet" was first suggested by General Electric. As a modern infrastructure of the 4 -th industrial revolution, Industrial Internet has become a substantial mechanism to actualiza digital revision of industrial economy. The Industrial Internet platform is a system formulated on huge data gathering, accumulation and analysis, which is based to the necessity of digitalization, networking and philosophizing of manufacturing industry. In order to settle the problems of actual rearward industrial data, improve the capacity of data acquisition and deal with the industrial interconnection platform, the industrial intelligent optimization system generates the product services needed by industrial enterprises and realizes the object of industrial optimization. Key words: Industrial Internet; industrial intelligence; industrial mechanism

scholarly journals CONCEPTUAL MODEL OF ORGANIZATIONAL AND ECONOMIC MECHANISM OF DIGITAL TRANSFORMATION OF INDUSTRIAL ENTERPRISES OF THE REPUBLIC OF BELARUS

2019 ◽  
pp. 267-277
Author(s):  
I. Zubritskaya
Keyword(s):  
Conceptual Model ◽  
Manufacturing Industry ◽  
Digital Transformation ◽  
Economic Mechanism ◽  
Industrial Enterprises ◽  
Institutional Features ◽  
The Republic

The article presents a conceptual model of the organizational and economic mechanism of digital transformation of the manufacturing industry of the Republic of Belarus. Institutional features of digital transformation of manufacturing industry, interrelations of subjects of organizational and economic mechanism of its development, regulatory methods and tools of their interactions are revealed.

scholarly journals A risk control framework for safe manufacturing workstations in view of COVID-19

2020 ◽  
Vol 327 ◽  
pp. 03007
Author(s):  
Ebly Sanchez ◽  
Knut Åkesson
Keyword(s):  
Problem Solving ◽  
Manufacturing Industry ◽  
Close Contact ◽  
Mitigation Strategies ◽  
Assessment Model ◽  
Protection Measures ◽  
Industrial Plants ◽  
Engineering Controls ◽  
Risk Levels ◽  
Control Framework

The manufacturing industry resumes operations after the COVID-19 pandemic supported by return-to-work guidelines, which are mostly personal protection measures for the workers and employees. In this paper, we propose a framework for assessing risk at the workstation level by linking the risk levels to possible mitigation strategies that can be implemented using standard operating procedures (SOP), 5S and problem-solving. Within industrial plants, operators work in close contact with coworkers and supervisors, and they are also sharing tools and machines. It is therefore, essential to develop strategies that reduce the operator’s exposure to viruses in the workplace. The purpose of this work is that when implemented, the risk assessment model and specifically how SOP, 5S and problem solving can be used to implement administrative and engineering controls resulting in a safe workplace and increasing level of confidence for the operators working within the plant.

ASSESSMENT OF THE TECHNOLOGICAL TRANSFORMATION OF THE RUSSIAN MANUFACTURING INDUSTRY CONSIDERING THE DIGITAL FACTOR

2021 ◽  
Vol 5 (199) ◽  
pp. 44-53
Author(s):  
M.P. Kalinichenko ◽  
Keyword(s):  
Manufacturing Industry ◽  
Swot Analysis ◽  
Value Added ◽  
Subsequent Development ◽  
Digital Transformation ◽  
Added Value ◽  
Technological Transformation ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises ◽  
The Impact

The purpose of the study is to assess the technological transformation of the manufacturing industry in Russia, taking into account the digital factor. The analysis of a set of methods that can be used to assess the impact of technologies on the digital transformation of economic systems (country, industry, region, industrial enterprise) is carried out; the results of a SWOT analysis of the Russian manufacturing industry for the medium term are presented (as an initial stage for the subsequent development of functional strategies of industrial enterprises-digital transformation, innovative, competitive, etc.); the results of a survey of experts on a sample of industrial enterprises of the Arkhangelsk region regarding barriers and prospects of digital transformation of manufacturing enterprises are summarized; an economic and mathematical model of the influence of production factors, including the digital factor, on the value added created by the manufacturing industry is developed. Based on the analysis and modeling of the formation of added value in the manufacturing industry, taking into account the contribution of each of the factors of production, a set of solutions is proposed, on the basis of which it is possible to give a new impetus to accelerate the digital transformation of the industry.

Challenges and prospects for the Vietnam’s manufacturing industry development in the context of industry 4.0

2020 ◽  
Vol 26 (9) ◽  
pp. 84-92
Author(s):  
Lo Thi Hong Van ◽  
◽  
L. Guzikova ◽  
Keyword(s):  
Developing Countries ◽  
Industry 4.0 ◽  
Industrial Development ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises ◽  
Fourth Industrial Revolution ◽  
Leading Role ◽  
The One

The purpose of the study is to identify the challenges, prospects and ways for the development of the manufacturing industry in Vietnam in the context of Industry 4.0, after COVID-19. The article examines the development of the manufacturing industry in the context of Industry 4.0. The research methodology includes comparative analysis, elements of positive and normative analysis. The study is based on statistical information available within the period of writing the article (till October 1, 2020). The data of Vietnamese and international research organizations and statistics bodies, in particular, the websites of World Bank and General Statistics Office of were used. The leading role of the manufacturing industry in achieving sustainable economic development in developing countries, including Vietnam, was determined. Based on an assessment of the levels of development of the manufacturing industry in Vietnam from 2011 to 2019 and the state of production of the main manufacturing industries under the influence of the coronavirus pandemic in 2020, urgent problems of the development of the manufacturing industry in the context of Industry 4.0 in Vietnam were identified. The coronavirus pandemic, on the one hand, is seen as the reason for the slowdown in production growth in the manufacturing industry, and on the other hand, as a condition for accelerating digital transformation in industrial manufacturing enterprises. The article identifies the main challenges and prospects for the development of the manufacturing industry in Vietnam in the fourth industrial revolution. The human resource challenge for the development of manufacturing in the context of the fourth industrial revolution was identified in some specific industries such as textiles, food processing, machinery and equipment manufacturing by analyzing the Report of 2019 about Industry 4.0 Readiness of Vietnam’s industrial enterprises. The main priority areas for improving the production of the manufacturing industry in Vietnam to achieve sustainable industrial development are presented. The results of the work can be used in the development of policies for the development of the manufacturing industry not only in Vietnam, but also in other developing countries

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