Characteristics of Networked Manufacturing Resources

2010 ◽  
Vol 428-429 ◽  
pp. 528-532
Author(s):  
Kai Yin ◽  
Juan Tu ◽  
Xiao Jun Wang
Keyword(s):  
Resource Management ◽  
Data Exchange ◽  
Technology Development ◽  
Manufacturing Technology ◽  
Networked Manufacturing ◽  
Exchange Form ◽  
Manufacturing Resources ◽  
Network Manufacture ◽  
Classification Management

Along with the networked manufacturing technology development and deep research of resources classification, the question of resource management appears prominently. Resources attribute constitution has been analyzed under the network manufacture environment from the resources classification management; the resources attribute and the data exchange form have been proposed under the isomerism environment

The fuzzy integrated TOPSIS economy ranking (FITER) model for manufacturing technology development in China

2021 ◽  
pp. 1-13
Author(s):  
Yang GAO ◽  
Xiang GAO
Keyword(s):  
Decision Making ◽  
Information Diffusion ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Technology Development ◽  
Manufacturing Technology ◽  
Technological Advancement ◽  
Ranking Score ◽  
Expansion Level ◽  
High Level

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.

Cloud Manufacturing Resource Management Based on Metadata

2015 ◽  
Author(s):  
Chun Zhao ◽  
Lin Zhang ◽  
Xuesong Zhang ◽  
Liang Zhang
Keyword(s):  
Resource Management ◽  
Cloud Manufacturing ◽  
State Monitoring ◽  
Knowledge Resources ◽  
Centralized Management ◽  
Service Oriented ◽  
Manufacturing Resources ◽  
Resource Data ◽  
Manufacturing Platform ◽  
Management Approaches

Centralized management and sharing of manufacturing resources is one of the important functions of cloud manufacturing platform. There are many kinds of manufacturing resources, centralized management, optimized scheduling, quick searching for various manufacturing resources become important issues in a cloud manufacturing platform. This paper presents a resource management model based on metadata to realize the access and unified management of the hardware resources, software resources and knowledge resources. Two management approaches respectively for static and dynamic resource data are introduced to realize resource state monitoring and real-time information collecting. On this basis, the relationship between static and dynamic data is determined and service-oriented of resources is realized.

scholarly journals Manufacturing Technology Development of Single Torus Inner Vessel for Sodium Cooled Fast Reactor

2014 ◽  
Vol 86 ◽  
pp. 367-374 ◽  
Author(s):  
Gagan Gupta ◽  
Rosy Sarkar ◽  
R. Sritharan ◽  
V. Rajan Babu ◽  
V. Balasubramaniyan ◽  
...  
Keyword(s):  
Fast Reactor ◽  
Technology Development ◽  
Manufacturing Technology ◽  
Inner Vessel

An Exploratory Study of Infrastructure Barriers and the Role of Semantic Data Exchange Technologies in the Provisioning of Business Intelligence Services

2012 ◽  
Vol 3 (3) ◽  
pp. 45-59
Author(s):  
Rubén A. Mendoza
Keyword(s):  
Business Intelligence ◽  
Data Exchange ◽  
Business Processes ◽  
Technology Development ◽  
Semantic Data ◽  
Intelligence Services ◽  
The Status ◽  
Enterprise Level ◽  
It Executives

Business Intelligence (BI) has been a top technology development concern for high-ranking IT executives over the past decade. The objective of BI is to use data analysis as a competitive weapon, deeply integrated into business processes. The ability of an organization to provide enterprise-level BI services depends heavily on its IT strategy, itself a function of existing technology investment. Previous research has described four IT architecture stages ranging from isolated applications to modular services, each with increasing complexity and service capabilities. Representatives from four companies were interviewed about the status of their BI activities, and the resulting data helps identify common barriers faced by these organizations in the provisioning of enterprise-level BI services. Interview results also describe the success of a limited-scope operational BI system by one of these firms, and the role of semantic data exchange technologies, primarily XML, in this system.

Advanced Manufacturing Technology Development: A Macroergonomics Perspective

1987 ◽  
Vol 31 (10) ◽  
pp. 1156-1160 ◽  
Author(s):  
Michelle M. Robertson ◽  
Ann Majchzark
Keyword(s):  
Assessment Tool ◽  
Technology Development ◽  
New Technology ◽  
Manufacturing Technology ◽  
Advanced Manufacturing Technology ◽  
Technological Innovations ◽  
Order Effects ◽  
Advanced Manufacturing ◽  
Systematic Assessment ◽  
Manufacturing Technologies

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.

scholarly journals Smart Water Technology for Efficient Water Resource Management: A Review

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6268
Author(s):  
Aditya Dinesh Gupta ◽  
Prerna Pandey ◽  
Andrés Feijóo ◽  
Zaher Mundher Yaseen ◽  
Neeraj Dhanraj Bokde
Keyword(s):  
Resource Management ◽  
Water Resources ◽  
Water Resource ◽  
Water Scarcity ◽  
Distribution System ◽  
Data Exchange ◽  
Water Resource Management ◽  
Treatment Plant ◽  
Energy Utilization ◽  
Smart Water

According to the United Nation’s World Water Development Report, by 2050 more than 50% of the world’s population will be under high water scarcity. To avoid water stress, water resources are needed to be managed more securely. Smart water technology (SWT) has evolved for proper management and saving of water resources. Smart water system (SWS) uses sensor, information, and communication technology (ICT) to provide real-time monitoring of data such as pressure, water ow, water quality, moisture, etc. with the capability to detect any abnormalities such as non-revenue water (NRW) losses, water contamination in the water distribution system (WDS). It makes water and energy utilization more efficient in the water treatment plant and agriculture. In addition, the standardization of data format i.e., use of Water Mark UP language 2.0 has made data exchange easier for between different water authorities. This review research exhibits the current state-of-the-art of the on-going SWT along with present challenges and future scope on the mentioned technologies. A conclusion is drawn that smart technologies can lead to better water resource management, which can lead to the reduction of water scarcity worldwide. High implementation cost may act as a barrier to the implementation of SWT in developing countries, whereas data security and its reliability along with system ability to give accurate results are some of the key challenges in its field implementation.

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