Agile infrastructure design for garment industry
Jin-long Su (),
Zhong-hui Ouyang and
Wan-cheng Ge
Additional contact information
Jin-long Su: Tongji University
Zhong-hui Ouyang: Quanzhou Normal University
Wan-cheng Ge: Tongji University
Fuzzy Information and Engineering, 2009, vol. 1, issue 2, 129-148
Abstract:
Abstract The Information Economics and its platform can input the vigor into manufacturing industry, i.e., garment industry, help to increase its ability for good return, promote the level of technology and management of Garments from a labor-intensive industry, and move it to the accurate management. The platform is designed as Comprehensive Information Platform by our research team. This paper is a general report series of papers the design of Agile Infrastructure for Collaborative Manufacturing and Agile Supply Chain. The key enabled technologies in the platform includes agile infrastructure and its application, business resources planning in manufacturing system, the design of data access model, optimal strategy for production planning, the dynamic load balance scheduling model, the intrusion detection technology and intelligent communication strategy. All of them are elaborated in turn. The paper tries to introduce the research of Agile Infrastructure and its key technologies, showing how well they work in some traditional manual industries.
Keywords: Agile infrastructure; Manufacturing industry; Supply chain; CIP (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12543-009-0011-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:fuzinf:v:1:y:2009:i:2:d:10.1007_s12543-009-0011-3
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/12543
DOI: 10.1007/s12543-009-0011-3
Access Statistics for this article
More articles in Fuzzy Information and Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().