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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: SBNLlN@LSUVM.SNCC.LSU.EDU | [b] Department of Quantitative Business Analysis, College of Business Administration, Louisiana State University, Baton Rouge, LA 70803, USA. E-mail: QMSCHH@LSUVM.SNCC.LSU.EDU
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
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