Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Lin, Binshana | Schneider, Helmutb
Affiliations: [a] Department of Management & Marketing, College of Business Administration, Louisiana State University – Shreveport, Shreveport, LA 71115, USA. E-mail: [email protected] | [b] Department of Quantitative Business Analysis, College of Business Administration, Louisiana State University, Baton Rouge, LA 70803, USA. E-mail: [email protected]
Abstract: Artificial intelligence (AI) systems represent contextual changes in manufacturing concepts. The major purpose of this paper is to provide not only a view of some of the important managerial issues of AI systems in manufacturing, but also to place them into a research perspective and explore why the issues are important to manufacturers. This paper first provides a brief overview of AI system concepts and the applications in manufacturing. Two conceptual endeavors constitute this ongoing effort: (1) an analysis of technical and behavioral competencies of the AI systems in manufacturing, and (2) a discussion of manufacturing infrastructure and AI system infrastructure.
Keywords: Artificial intelligence, behavioral competencies, expert systems, information, infrastructure, knowledge, manufacturing, technical competencies
DOI: 10.3233/HSM-1994-13406
Journal: Human Systems Management, vol. 13, no. 4, pp. 283-293, 1994
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]