Promoting sustainable level of resources and efficiency from traditional manufacturing industry via quantification of carbon benefit: A model considering product feature design and case

Author(s):  
Jun Zheng ◽  
Yunge Yu ◽  
Xingjian Zhou ◽  
Wei Ling ◽  
Wei Wang
2011 ◽  
Vol 179-180 ◽  
pp. 1177-1182 ◽  
Author(s):  
Xiao Qing Wu ◽  
Ming Shun Yang ◽  
Xin Qin Gao ◽  
Li Ba

With the fiercer competition and more complex environment of manufacturing industry, the service-oriented manufacturing mode integrating manufacture and service has become an inevitable trend. Together with the producer services and product-service system, the development process of service-oriented manufacturing mode was summarized. Compared with the traditional manufacturing mode, a conceptual model of service-oriented manufacturing was proposed. Furthermore, the operational framework of service-oriented manufacturing mode was established based on its operating characteristics. The research paper could provide the manufacturing enterprises with some foundation for implementing the service-oriented manufacturing mode.


Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1924 ◽  
Author(s):  
Young Soo Suh

Laser sensors can be used to measure distances to objects and their related parameters (displacements, position, surface profiles and velocities). Laser sensors are based on many different optical techniques, such as triangulation, time-of-flight, confocal and interferometric sensors. As laser sensor technology has improved, the size and cost of sensors have decreased, which has led to the widespread use of laser sensors in many areas. In addition to traditional manufacturing industry applications, laser sensors are increasingly used in robotics, surveillance, autonomous driving and biomedical areas. This paper outlines some of the recent efforts made towards laser sensors for displacement, distance and position.


2020 ◽  
Vol 43 ◽  
pp. 285-292
Author(s):  
Frida Li ◽  
Tao Zhang ◽  
Qian Sha ◽  
Xin Pei ◽  
Yizhi Song ◽  
...  

2012 ◽  
Vol 430-432 ◽  
pp. 996-999
Author(s):  
Shao Bing Yan ◽  
Wen Qi Zhu

Different from the traditional manufacturing industry, electronics industry is representative of high-tech industry and its financial risk has its own characteristics. In this paper, I choose 2000-2009 electronic financial data of listed companies as samples and use two yuan logistic regression analysis to build an assessment of China's electronics companies in financial risk probability model for the electronic companies to evaluate their own financial risks, provide a simple reference to the views to reduce the financial risk and give the basic risk prediction for the electronics company's mergers and acquisitions objects.


2016 ◽  
Vol 34 (8) ◽  
pp. 1425-1452 ◽  
Author(s):  
Dragana Radicic ◽  
Geoffrey Pugh ◽  
Hugo Hollanders ◽  
René Wintjes ◽  
Jon Fairburn

We evaluate the effect of innovation support programs on output innovation by small and medium enterprises in traditional manufacturing industry. This focus is motivated by a definition of traditional manufacturing industry that includes capacity for innovation, and by evidence of its continued importance in European Union employment. We conducted a survey in seven European Union regions to generate the data needed to estimate pre-published switching models by means of the copula approach, from which we derived treatment effects on a wide range of innovation outputs. We find that for participants the estimated effects of innovation support programs are positive, typically increasing the probability of innovation and of its commercial success by around 15%. Yet, we also find that a greater return on public investment could have been secured by supporting firms chosen at random from the population of innovating traditional sector small and medium enterprises. These findings indicate the effectiveness of innovation support programs while suggesting reform of their selection procedures.


2016 ◽  
Vol 11 (4) ◽  
pp. 194 ◽  
Author(s):  
Yingfen Zhou ◽  
Ming Xu ◽  
Rong Di

<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>


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