The dynamic model for high-tech production management

2019 ◽  
Vol 15 (5) ◽  
pp. 798-816
Author(s):  
A.V. Leonov ◽  
◽  
A.Yu. Pronin ◽  
Keyword(s):  
Dynamic Model ◽  
Production Management ◽  
High Tech

scholarly journals Analysis of the Specifics of Effectiveness in High-Tech Companies

2020 ◽  
Vol 20 (4) ◽  
pp. 113-137
Author(s):  
Anton A. Goryushkin
Keyword(s):  
Production Management ◽  
Empirical Test ◽  
Global Market ◽  
European Countries ◽  
High Tech ◽  
Intensity Level ◽  
Eastern European ◽  
Knowledge Intensive ◽  
Student’S T ◽  
Eastern European Countries

High-tech sector is recognized as an important long-term priority for the development of any economy; therefore, purposeful support and encouraging the development of this sector requires highlighting the specificities of high-tech and knowledge-intensive companies. This study provides an empirical test of the existence of differences in some parameters between the companies in high-tech and traditional sectors of the economy with BEEPS microeconomic data base by the following characteristics: level of research and development intensity; level of personnel qualification; technological and financial capabilities; business orientation to the global market. The test is based on the Student’s t-test, i.e. statistical comparison of the average values of the parameters for the companies in the specified sectors. For verification, the data from direct surveys of domestic manufacturing and production service companies, the data from the surveys of companies from the EAEU countries and some Eastern European countries were used. It has been revealed that in Eastern European countries, high-tech companies of any sectors more heavily invest in R & D. In Russia, this is true only for the production sector. At the same time, the level of innovative activity for domestic production companies is generally consistent with the level of the companies in other countries under study. Like in many European companies, a significantly large proportion of domestic high-tech companies pays attention to the introduction of new methods f production, management, and product promotion. The need to acquire or rent equipment is equally important for high-tech and low-tech companies, and there are no significant differences in access to financial resources. It has been also revealed that the Russian high-tech production companies are more focused on the national market, whereas the low-tech companies are orientated to the local one. At the same time, the high-tech business is still characterized by a higher share of products shipped for export as compared to the average level of industrial exports.

scholarly journals CREATION AND DEVELOPMENT OF CROSS-BORDER MEDICAL CLUSTERS AS A TOOL FOR THE ACTIVITY OF EUROREGIONS

2021 ◽  
Author(s):  
Nadiia Yurevych ◽  
Victor Tsekhanovych
Keyword(s):  
Production Management ◽  
Medical Tourism ◽  
Medical Services ◽  
High Tech ◽  
Cross Border ◽  
Tourist Infrastructure ◽  
Quality Of Medical Care ◽  
The Creation ◽  
Innovation Clusters

The article substantiates the objective necessity of introducing cross-border medical clusters in the euroregions of Ukraine. Clusters are a community of firms, closely related industries that complement each other and contribute to the growth of their competitiveness, and thus they serve as "points of growth" in the development of the domestic market and the economy of the euroregions. Innovative development of the world economy, associated with progressive changes in technology and in the forms and methods of labor organization, requires new approaches to production management and significant expenditures of material, intellectual and financial resources. In modern theories of development, more and more attention is paid to problematic issues of organizational and economic classification. This will improve the level of health, maintain social stability in society, and improve the quality of medical care to the level of world standards, optimizing public spending. Innovation clusters have become the object of close attention due to the increasing role of innovation in the competition of global markets for medical services. The cross-border medical cluster provides for the creation of a strategic unit in the structure of the euroregion, which will coordinate the implementation of the strategy for the development of medical tourism, improving the collection and processing of information on incoming tourists, conducting a promotional campaign of the city in key markets and improving the tourist infrastructure and measures to support it. This type of cluster is particularly relevant for Ukraine, which has taken a course to modernize the national economy based on the priority development of high-tech and high-tech industries. Diversification of the economy of the Euroregions through the cluster approach is one of the main solutions to this problem. High-quality provision of medical services, the creation of joint clinics, can become one of the ways to diversify the economy, using the growing potential of cross-border cooperation and the flow of medical tourists.

The Collaborative Production Management System of Power Enterprises Based on Online Information Sharing

2021 ◽  
Author(s):  
Yu Guoji ◽  
Zhong Jianxu ◽  
Yu Shaofeng ◽  
Liao Chongyang ◽  
Ma Yining
Keyword(s):  
Information Sharing ◽  
Management System ◽  
Production Management ◽  
High Reliability ◽  
Experimental Results ◽  
High Tech ◽  
Online Information ◽  
Production Operation ◽  
Production Management System ◽  
Power Enterprise

With the development of online information sharing, high-tech equipment for collaborative production management of power enterprises emerges endlessly. Therefore, it is necessary to design the collaborative production management system of power enterprises based on online information sharing to meet the information sharing needs. In terms of the hardware, the B/S structure was built, and the computer was debugged with Cascading Style Sheet (CSS). In terms of the software, Hadoop horizontal architecture technology framework was designed, the physical deployment was carried out, the production management center module was designed, and the production operation chain was monitored and managed to realize the collaborative production management of power enterprises. The experimental results showed that the designed collaborative production management system of power enterprise had high reliability and friendliness, the highest reliability is 97.2%, the highest friendliness is 99.8%, which meets the current demand.

Using Discrete-Event Simulation Systems as Support for Production Planning

2015 ◽  
Vol 809-810 ◽  
pp. 1456-1461 ◽  
Author(s):  
Damian Krenczyk ◽  
Malgorzata Olender
Keyword(s):  
Decision Making ◽  
Production Planning ◽  
Production Management ◽  
New Technologies ◽  
Discrete Event ◽  
Simulation Program ◽  
High Tech ◽  
Production Planning And Control ◽  
Planning And Control ◽  
And Control

In the days of fierce competition, rapid changes and new technologies, production, and above all, production planning and control cannot be implemented in isolation to changes in the market. The ability to quickly adjust to changes, being flexible is now essential for high tech companies. One of the key area of production management, that must continuously evolve by searching for new methods and tools for increasing the efficiency of decision-making process is the area of production planning and control. In solving the problems associated with production planning are increasingly used advanced simulation programs. They support the planners, especially in situations related to changes in the assortment, or the introduction of new products into the market. A practical example of using the simulation program for production planning is presented in the paper. It is shown that an advanced simulation program can be an effective tool used in decision making area. The construction of the model, and performed experiments are crucial for enterprises where among other things punctuality and flexibility are the most important elements. A short time for the results of the simulation allows for quick response and, if necessary, make changes to the model by planners to achieve the best results with the given parameters associated with the required to complete the production orders.

scholarly journals An Optimized Grey Dynamic Model for Forecasting the Output of High-Tech Industry in China

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zheng-Xin Wang ◽  
Ling-Ling Pei
Keyword(s):  
Dynamic Model ◽  
Optimal Algorithm ◽  
Good Alternative ◽  
Parameters Optimization ◽  
High Tech ◽  
Grey System ◽  
Unknown Parameters ◽  
High Tech Industry ◽  
Economic Output ◽  
The Government

The grey dynamic model by convolution integral with the first-order derivative of the 1-AGO data andnseries related, abbreviated as GDMC(1,n), performs well in modelling and forecasting of a grey system. To improve the modelling accuracy of GDMC(1,n),ninterpolation coefficients (taken as unknown parameters) are introduced into the background values of thenvariables. The parameters optimization is formulated as a combinatorial optimization problem and is solved collectively using the particle swarm optimization algorithm. The optimized result has been verified by a case study of the economic output of high-tech industry in China. Comparisons of the obtained modelling results from the optimized GDMC(1,n)model with the traditional one demonstrate that the optimal algorithm is a good alternative for parameters optimization of the GDMC(1,n)model. The modelling results can assist the government in developing future policies regarding high-tech industry management.

Model to Determine the Economic Scale of Giga-Fab for Wafer Fabrication by Simulation

2014 ◽  
Vol 543-547 ◽  
pp. 4487-4490 ◽  
Author(s):  
Ying Mei Tu ◽  
Che Hao Chang ◽  
Chun Wei Lu
Keyword(s):  
Cycle Time ◽  
Production Management ◽  
Analytical Data ◽  
Production Capacity ◽  
Simulation Software ◽  
High Tech ◽  
Production Cycle ◽  
Increase Risk ◽  
Production Flexibility ◽  
Plant Simulation

Semiconductor manufacturing is a capital-intensive and high-tech industry. In order to reduce production cycle time and increase production flexibility, the semiconductor manufacturers will expand the capacity in the existed fab and build up new fabs. However, the expandability of production capacity is not infinite since the huge fab scale will increase risk of production management. Therefore, it is necessary to find out the factors which will influence the performance of fab scale. This research uses the eM-plant simulation software to construct a simulation environment to conduct simulation experiment. The experimental environments were divided into two parts and named as high and low product mix complexity separately. Furthermore, three more factors were taken into accounts, which included stability of machine, variation of fab scale and releasing rate. By simulation, the analytical data is collected and analyzed its trend in these different environments. Simulation results reveal the significance of factors under different environments. Based on these results, the managers can conclude an appropriate fab scale in giga-fab, which will help to reduce the cycle time of products and increase the total throughput of giga-fab.

scholarly journals Management of high-tech production at a multilevel integrated enterprise using production flow standards (on the example of the aviation industry)

2021 ◽  
pp. 113-123
Author(s):  
A. M. Kovalev ◽  
O. A. Afanasieva
Keyword(s):  
Information Systems ◽  
Production Management ◽  
Virtual Enterprise ◽  
Machine Building ◽  
Aviation Industry ◽  
High Tech ◽  
Practical Implementation ◽  
Production Flow ◽  
Serial Production ◽  
Production Management System

A virtual enterprise providing various stages of production of complex machine-building products by a network of interacting organizations is considered. The imperfection of the production management system within the framework of a virtual enterprise of this type is noted and it is proposed to improve it with the help of non-traditional application of production flow standards (PFS), extending this concept to the virtual enterprise as a whole. The composition of production flow standards, both traditional and non-traditional, which should be formed in the information systems of organizations, forming a virtual enterprise, is given. The procedure for the formation of production flow standards in these information systems and the procedure for their use for managing serial production management are considered. Recommendations on methods for calculating non-traditional production flow standards are formulated. The main projects that determine the practical implementation of proposals for the non-traditional application of production flow standards are indicated. 

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