scholarly journals Future CIS Manufacturing Technology Development: Final Report, 8 July 1998--17 October 2001

2003 ◽  
Author(s):  
T. J. Anderson ◽  
O. D. Crisalle ◽  
S. S. Li ◽  
P. H. Holloway
2021 ◽  
pp. 1-13
Author(s):  
Yang GAO ◽  
Xiang GAO

With knowledge perspective of industrial technology, in this paper we propose fast ranking score decision making model based on Fuzzy integrated TOPSIS approach to determine economic growth rate of manufacturing industry in China. This research focuses on driving effects of China’s productive service industry on manufacturing technology innovation. The research results show that the manufacturer service industry takes a high level of information diffusion for the manufacturing industry. It transmits a large amount of diverse information through the unconstrained relationship with the manufacturing industry, thereby forming the economic network with proposed Fuzzy integrated TOPSIS economy ranking (FITER) model and improve the development level of the manufacturing industry. We evaluate the performance of proposed FITER model by comparing ranking score of different manufacturing industry with different existing decision making mode and demonstrate that proposed model represent best ranking score in comparison to existing approach. Result from data analysis motivates driving effect of production services on the technological innovation of manufacturing and sub-sectors. It is found that the innovation and technological advancement in the production industry of services takes drive the overall expansion level of the business industry, as well as make the manufacturing industry the strongest.


2019 ◽  
Author(s):  
Mark Fitzsimmons ◽  
Doug M. Heim ◽  
William Follett ◽  
Stevan Jovanovic ◽  
Makini Byron ◽  
...  

2014 ◽  
Vol 86 ◽  
pp. 367-374 ◽  
Author(s):  
Gagan Gupta ◽  
Rosy Sarkar ◽  
R. Sritharan ◽  
V. Rajan Babu ◽  
V. Balasubramaniyan ◽  
...  

1987 ◽  
Vol 31 (10) ◽  
pp. 1156-1160 ◽  
Author(s):  
Michelle M. Robertson ◽  
Ann Majchzark

This paper examines and discusses the implications of a macroergonomic perspective for assimilating advanced manufacturing technological innovations into an organization's human infrastructure. A framework for integrating sociotechnical systems and advanced manufacturing technology design is presented which identifies first-and second-order effects of the new technology on the human infrastructure. The Human Infrastructure Impact Statement (HISS) operationalizes these concepts into a systematic assessment tool. This paper ends with a brief list of some of the pertinent macroergonomic decisions that a manager and a macroergonomist must consider in implementing and designing Advance Manufacturing Technologies.


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