scholarly journals Factors Affecting the Evolution of Advanced Manufacturing Innovation Networks Based on Cloud Computing and Multiagent Simulation

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wang Jianbo ◽  
Xing Cao
Keyword(s):  
Cloud Computing ◽  
Manufacturing Industry ◽  
Value Added ◽  
Weak Links ◽  
High Tech ◽  
Advanced Manufacturing ◽  
Evolution System ◽  
Factors Affecting ◽  
Multiagent Simulation ◽  
Manufacturing Innovation

Facing the pressure of low-cost competition brought by the homogenization of commodities, the manufacturing industry seeks to survive by providing services. By providing outsourcing of value-added services to date, we are focusing on innovation in our business model. With the advancement of science and technology, manufacturing innovation is facing higher challenges, especially the popularization of the Internet, which makes the manufacturing industry have to move closer to new industries. Based on cloud computing, this paper conducts a multiagent simulation on the evolution factors of the innovation network of advanced manufacturing. This article takes three types of simulation subjects: evolutionary network, manufacturing (cluster), and innovation evolution system as the research objects. The factors affecting the evolution of the research are innovation resources, innovation opportunities, innovation desire, innovation pressure, relationship strength, network scale, and network scope. Network differences carry over variable indicators and analyze quantitative regression indicators and then build a research model. The research results show that the average conversion efficiency of the manufacturing industry (0.523) is significantly lower than the average R&D innovation efficiency (0.725), which to a certain extent indicates that the manufacturing industry still has weak links in the export conversion stage at the back end of the innovation value chain. Some of the companies may have problems such as low ability to transform scientific and technological achievements and insufficient export competitiveness of high-tech products, which to a large extent affects and restricts the improvement of manufacturing export transformation efficiency.

scholarly journals Using a Novel Grey DANP Model to Identify Interactions between Manufacturing and Logistics Industries in China

2018 ◽  
Vol 10 (10) ◽  
pp. 3456 ◽  
Author(s):  
Peng Jiang ◽  
Yi-Chung Hu ◽  
Ghi-Feng Yen ◽  
Hang Jiang ◽  
Yu-Jing Chiu
Keyword(s):  
Manufacturing Industry ◽  
Multiple Criteria Decision Making ◽  
Value Added ◽  
Manufacturing Industries ◽  
Direct Influence ◽  
Key Factors ◽  
Logistics Industry ◽  
Influence Matrix ◽  
Factors Affecting ◽  
Two Factors

As a crucial part of producer services, the logistics industry is highly dependent on the manufacturing industry. In general, the interactive development of the logistics and manufacturing industries is essential. Due to the existence of a certain degree of interdependence between any two factors, interaction between the two industries has produced a basis for measurement; identifying the key factors affecting the interaction between the manufacturing and logistics industries is a kind of decision problem in the field of multiple criteria decision making (MCDM). A hybrid MCDM method, DEMATEL-based ANP (DANP) is appropriate to solve this problem. However, DANP uses a direct influence matrix, which involves pairwise comparisons that may be more or less influenced by the respondents. Therefore, we propose a decision model, Grey DANP, which can automatically generate the direct influence matrix. Statistical data for the logistics and manufacturing industries in the China Statistical Yearbook (2006–2015) were used to identify the key factors for interaction between these two industries. The results showed that the key logistics criteria for interaction development are the total number of employees in the transport business, the volume of goods, and the total length of routes. The key manufacturing criteria for interaction development are the gross domestic product and the value added. Therefore, stakeholders should increase the number of employees in the transport industry and freight volumes. Also, the investment in infrastructure should be increased.

Developing Equipment Manufacturing Industry Based on Service-Oriented Manufacturing

2013 ◽  
Vol 655-657 ◽  
pp. 2340-2343
Author(s):  
Li Xi Yang ◽  
Xu Fang Zhou
Keyword(s):  
Manufacturing Industry ◽  
Value Added ◽  
Present Situation ◽  
Advanced Manufacturing ◽  
Aggregation Mechanism ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry ◽  
Service Oriented ◽  
Manufacturing Mode ◽  
Insight Into

Service-oriented manufacturing is an advanced manufacturing mode focused on integrating service with manufacturing. The remarkable importance is known to be strongly associated with the development of service-oriented economy in the period in which China transfers the traditional equipment manufacturing industry to the service-oriented manufacturing. We take a close insight into basic theories of service-oriented manufacturing, and then we analyze the characteristics, profiles, as well as the present situation of the equipment manufacturing. Finally, we propose some countermeasures for transferring the equipment manufacturing to the service-oriented manufacturing from the views of the aggregation mechanism, the network of innovative mechanism and manufacturing value-added chain.

3PL selection criteria in integrated circuit manufacturing industry in Taiwan

2016 ◽  
Vol 21 (1) ◽  
pp. 103-124 ◽  
Author(s):  
Bang-Ning Hwang ◽  
Tsai-Ti Chen ◽  
James T. Lin
Keyword(s):  
Integrated Circuit ◽  
Cost Reduction ◽  
Selection Criteria ◽  
Manufacturing Industry ◽  
Market Competition ◽  
Value Added ◽  
The Body ◽  
High Tech ◽  
Content Type ◽  
Ic Manufacturing

Purpose – The purpose of this study was to identify the key third-party logistics (3PL) selection criteria for the integrated circuit (IC) manufacturing industry in Taiwan. The IC manufacturing industry seeks global sourcing, and is facing increasing pressure due to fierce market competition. More than a cost reduction strategy, 3PL is a strategic tool for IC manufacturers to gain a competitive advantage in a global supply chain complex. Design/methodology/approach – The triangulation method that combines qualitative and quantitative approaches was used in the study. The qualitative approach of focus group discussions was adopted to establish the decision framework, and the quantitative approach of the analytic hierarchy process was used to explore the relative importance of the 3PL selection criteria. Finally, an in-depth proof-by-example interview was undertaken to provide an insightful interpretation of the research results. Findings – The research shows that performance is the most important criterion group, followed by cost, service, quality assurance, intangible and information technology. At the detailed sub-criteria level, document accuracy, problem-solving capability, continuous cost reduction, value-added services and associated cost control capability are the top five criteria. Research limitations/implications – This study focused on the IC manufacturing sector in Taiwan. Multi-country and multi-industry studies are recommended to help further validate and generalise the research findings. Originality/value – Due to its application of triangulation, this study is a pioneering work on the 3PL selection criteria in a high-tech manufacturing industry. Furthermore, the value of this research is that it enhances the body of knowledge of 3PL selection by identifying certain emerging selection criteria, it could serve as a guideline for IC manufacturers in planning logistics outsourcing actions and it could significantly contribute to the efforts of 3PL providers in evaluating whether they comply with customer needs and adhere to core competency development.

scholarly journals Investment Potential of the Manufacturing Industry

2019 ◽  
Vol 23 (4) ◽  
pp. 24-42
Author(s):  
N. M. Abdikeev ◽  
Yu. S. Bogachev ◽  
S. R. Bekulova
Keyword(s):  
Purchasing Power Parity ◽  
Manufacturing Industry ◽  
Value Added ◽  
Global Market ◽  
High Tech ◽  
Power Parity ◽  
Investment Activity ◽  
Fixed Assets ◽  
High Level ◽  
Advanced Development

The article considers investment in fixed assets of the manufacturing industry as one of the main factors of its development. The manufacturing industry is shown to be the growth driver of national economy for developed and developing countries. The analysis of exports and imports of the first 15 countries in the ranking in terms of gross domestic product calculated at purchasing power parity (GDP at PPP) shows the leading role of the manufacturing industry in the global economy. At the same time, competitiveness in the global market is determined by high-tech products. Therefore, for the sustainable development of the Russian economy, it is necessary to create investment conditions for the advanced development of high-tech segments of the manufacturing industry. However, the current structure of investments in fixed assets contributes to the development of such services sector segments as “Transportation and storage”, “Real estate operations”. In the structure of investments in fixed assets, the largest share belongs to investments in buildings and structures, and intellectual property items account for no more than 10%. It is shown that the lack of investment resources is the main reason for the reduction (by 1.5 times) of the contribution to the value added of the manufacturing industry in Russia, production of machinery and equipment. This leads to an increase in dependence on imports, a fall in the share of products from high-tech sectors. To analyze the development potential of manufacturing industries, the authors introduced an indicator of investment intensity per 100 rubles of shipped industrial products. It was determined that enterprises with a joint Russian and foreign form of ownership lead in terms of investment intensity. At the same time, private enterprises, leading in terms of output, demonstrate weak investment activity. The low investment attractiveness of high-tech manufacturing sectors is shown. The regional structure of the manufacturing industry was analyzed. There is a high level of regional concentration of the manufacturing industry in Russia. At the same time, the authors show its relatively weak significance in the structure of the gross regional product in the majority of the constituent entities of the Russian Federation. It has been proposed to develop a program at the federal level for the advanced development of production in the high-tech and medium-technology high-level sectors for 10–15 years. It is proposed to create a supradepartmental executive authority to manage this program.

scholarly journals The State of Manufacturing in Pakistan

2015 ◽  
Vol 20 (Sspecial Edition) ◽  
pp. 205-224
Author(s):  
Rajah Rasiah ◽  
Nazia Nazeer
Keyword(s):  
South Korea ◽  
Vertical Integration ◽  
Manufacturing Industry ◽  
Value Added ◽  
High Tech ◽  
Manufacturing Sectors ◽  
History Of ◽  
Systematic Shift ◽  
Knowledge Intensive

The history of successful industrializers, such as South Korea and Taiwan, shows a systematic shift in the production structure from low- to high- value added activities in manufacturing and its resulting impact on agriculture, mining and services. Within manufacturing, the transformation is seen in both a movement from low-value added sectors, such as apparel making, to high-tech activities, such as automotive and electronics products, and, within particular industries, vertical integration into knowledge-intensive activities. Pakistan’s failure to engender the conditions to stimulate technological upgrading within its leading manufacturing industry of clothing, and a shift away to higher-value added industries is the prime reason why the country has not achieved rapid growth in GDP per capital over the long-term. This paper discusses Pakistan’s stagnation in manufacturing over the period 1960-2013 against the experience of the rapid industrializers of South Korea, Taiwan and Malaysia. Drawing on empirical evidence it argues that Pakistan requires a dynamic industrial policy that focuses on technological upgrading in its existing manufacturing sectors and the creation of competitive advantage in high value-added sectors if the country is to experience sustained long-term economic growth.

scholarly journals Research on the Radical Innovation of C2M Business Model—A Case Study on Redcollar MTM Men’s Suits in China

2016 ◽  
Vol 11 (4) ◽  
pp. 194 ◽  
Author(s):  
Yingfen Zhou ◽  
Ming Xu ◽  
Rong Di
Keyword(s):  
Business Model ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Production Efficiency ◽  
Value Added ◽  
Radical Innovation ◽  
High Tech ◽  
Scale Production ◽  
Traditional Manufacturing

<p class="AbstractWCCM"><span lang="EN-US">For recently years, with the deep integration of informatization and industrialization, traditional manufacturing industries in China have been investigating for the road of transformation and upgrading. A Chinese garment enterprise, named Redcollar Group of China, has successfully transformed and upgraded to high-tech industry with high value added from labor-intensive industry. It is very important to explore the reason, method and business model it has created so as to provide some beneficial advice to China’s traditional manufactures. In this case study, indirect research, field research, comparison research and customers’ experience methods have been used. As a result, it is found that the enterprise has successfully created a C2M business mode of men's custom suits and has succeeded in producing customization suits with large-scale production efficiency. Being the first factory in the world by using industrialization measures to produce thoroughly customized men’s suits, the Redcollar’s C2M model is the revolutionary and disruptive radical innovation which breaks through the traditional suits making, the traditional clothing manufacturing model, the value perception of traditional manufacturing industry and the existing business regulations. </span></p>

Aligning Further Education And Training With The Advanced Manufacturing Technology Strategy: South Africa Case Study

2014 ◽  
Vol 1 (1) ◽  
pp. 501-504
Author(s):  
Partson Dube ◽  
Goodwell Muyengwa ◽  
Kimberly Battle
Keyword(s):  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Further Education ◽  
Manufacturing Technology ◽  
Education Sector ◽  
Advanced Manufacturing Technology ◽  
Advanced Manufacturing ◽  
Factors Affecting ◽  
Private And Public ◽  
Engineering Training

AbstractAcademic institutions need to exhibit the appropriate flexibility to meet the demands of industry. This descriptive study seeks to identify the problems both in the private sector and in the education sector with regards to engineer training and to utilise the strengths of both to provide a solution. The study highlights the current growth of the manufacturing sector and the continuing skills gap. It identifies the problems faced by the manufacturing industry and also changes that can be made to the further education training curriculum. Investigations of the impacts of the engineering training and the factors affecting training and that inhibit or facilitate the engineering training were done. Based on experience and many discussions with the private and education sector with regards to the particular problems currently being faced by those wanting to use advanced manufacturing technology it is hoped this document will generate a lively debate between the private and public sector. This paper fulfils an identified training need and offers a practical solution to overcome a national skills shortage.

Analysis of and Theoretical Reflections on China’s “Excessive De-Industrialization” Phenomenon

2019 ◽  
Vol 07 (04) ◽  
pp. 1950017
Author(s):  
Houkai WEI ◽  
Songji WANG
Keyword(s):  
Economic Growth ◽  
Industrial Development ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Eastern China ◽  
Value Added ◽  
Western China ◽  
Advanced Manufacturing ◽  
Industrial Economy ◽  
Modern Service Industry

Industrialization is a long-term process of spiral transformation and upgrading. In a broad sense, industrialization can be divided into two stages, i.e. shallow industrialization and deep industrialization. The first stage refers to a process of expansive industrialization aiming to increase the proportion of industry, while the second stage refers to a process of contractive industrialization centered on improvements in industrial quality and competitiveness, to which the shallow industrialization is transformed and upgraded. In fact, the industrialization stages divided according to traditional theories, i.e. early stage, middle stage and late stage, are only for achieving the goals of shallow industrialization, instead of ultimately completing the developmental tasks of industrial economy. The transforming and upgrading from shallow industrialization to deep industrialization is an essential stage for a major country to enhance its development quality and competitiveness of industrial economy. So far, China has not fully industrialized. In the context of unbalanced and inadequate industrial development, China has seen a rapid decline in the industrial value-added and employment proportions in recent years, prematurely showing the features of rapid excessive de-industrialization in all respects. China’s current excessive de-industrialization is not only attributed to the impulse of rushing into mass actions in industrial upgrading, but also resulting from the combined effects of multiple factors such as surging factor prices and overcapacity at the current stage, exerting serious negative impacts on China’s economic growth, productivity improvement, development of modern service industry and transfer of agricultural labor force. In a long period of time ahead, considering the need to improve the quality of industrialization and the relationship between industry and services, real economy and virtual economy, the industry dominated by advanced manufacturing industry is still China’s major impetus for driving the medium–high rate of sustained and stable economic growth. Advancing deep industrialization remains a long and arduous task. Therefore, it is required to get rid of the misunderstanding caused by traditional theories and thinking, reconsider the importance of industrialization, implement the strategy of deep industrialization and prevent excessive de-industrialization. The specific measures include: expedite the promotion of deep industrialization in the developed regions of Eastern China, build a group of advanced manufacturing bases in Central and Western China and facilitate an in-depth integrated development of advanced manufacturing industry and modern service industry.

scholarly journals Formation of a model for managing the science intensity of enterprises of rocket and space engineering

2021 ◽  
Vol 9 (2) ◽  
pp. 16-20
Author(s):  
Mihail Abrashkin ◽  
Viktoriya Barkovskaya
Keyword(s):  
Value Added ◽  
High Tech ◽  
Pricing Policy ◽  
Factors Affecting ◽  
Centralized Management ◽  
Manufactured Products ◽  
Model Of Management ◽  
Level Of Economic Development ◽  
State Corporation ◽  
Science Intensity

The industry of rocket and space engineering is high-tech, has a significant backlog in the field of R&D and is the locomotive of the national cosmonautics. In the context of the centralized management of the industry by the state corporation Roscosmos, and the existing system of cooperation and distribution of government orders, enterprises in the industry feel the need to move to a new level of economic development based on the growth of value added through R&D in manufactured products. One of the promising sources for the development of enterprises of rocket and space engineering can be the management of their science intensity. The model of management of the science intensity of enterprises, based on the structural analysis of research and production activities, involves the management of the ratio of R&D costs to the revenue and profit of the enterprise, which makes it possible to regulate the pricing policy of enterprises in rocket and space engineering, to substantiate many factors affecting the degree of science intensity of products.

scholarly journals The impact of research and development activity on the TFP level in manufacturing in Poland

Equilibrium ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. 711-737 ◽  
Author(s):  
Elżbieta Roszko-Wójtowicz ◽  
Maria M. Grzelak ◽  
Iwona Laskowska
Keyword(s):  
Research And Development ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Value Added ◽  
High Tech ◽  
Factor Productivity ◽  
Development Activity ◽  
Manufacturing Enterprises ◽  
The Impact ◽  
The Relationship

Research background: The paper presents the issue of total factor productivity in the manufacturing industry in Poland. It has been assumed that total factor productivity (TFP) is a synthetic measure of efficiency of the production process and a measure of the impact of technical progress on the rate of economic growth. Purpose of the article: The main aim of the paper is to assess the differentiation in the level of total factor productivity (TFP) occurring among the Section C manufacturing divisions in Poland. In particular, the paper raises the issue of measuring and analysing the relationship between expenditure on research and development and the level of TFP in manufacturing divisions in Poland. Methods: In the presented research, the TFP level was determined by using the two-factor Cobb-Douglas production function, while econometric panel models were used to assess the studied relationship. Findings & Value added: The presented considerations show that manufacturing divisions in Poland are diversified in terms of total factor productivity. Generally, manufacturing divisions with high R&D intensity, i.e. divisions classified as so-called high-tech ones, are characterised by a high TFP level. The econometric analysis carried out allows us to conclude that expenditure on R&D incurred in manufacturing enterprises significantly affects the level of TFP.

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