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Article
Publication date: 1 August 1992

Luvai F. Motiwalla and Vidyaranya B. Gargeya

Despite previous work on expert systems in the manufacturing sectorvery few articles relate to a classification scheme for the applicationof Expert Systems (ES) in the service…

153

Abstract

Despite previous work on expert systems in the manufacturing sector very few articles relate to a classification scheme for the application of Expert Systems (ES) in the service operations area. Based on a review of more than 200 abstracts from the ABI/INFORM database, seeks to provide a categorization of ES in the service sector and also to detail future needs in the application of this vital information technology in service operations. Enhances the manager′s understanding of ES technology and provides a perspective on how ES have been used in service operations.

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Industrial Management & Data Systems, vol. 92 no. 8
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 1 July 1996

Devdas Shetty, Luvai Motiwalla, Jun Kondo, Saat Embong and Yunus Kathawala

Explains that the rapid growth of artificial intelligence techniques, especially neural networks and knowledge‐based systems, have paved the way for the development of an…

714

Abstract

Explains that the rapid growth of artificial intelligence techniques, especially neural networks and knowledge‐based systems, have paved the way for the development of an intelligent and real‐time manufacturing information system. By efficiently utilizing the specific domain representation in a production cell, an intelligent system can manage the complex issues concerning the structure and character of the product, goals of the manufacturing unit and provide production guidance accordingly. Addresses issues in manufacturing intelligence through two case studies that demonstrate the feasibility of a real‐time quality control in changing environmental conditions. The quality and the factor of acceptability are determined by the intelligent agent. These intelligent agents involve the use of an artificial neural network system and, in some cases, a knowledge‐based system to control and operate, in real‐time, the functions of an inspection process in manufacturing. Addresses the design issues of interest, especially setting up global routines which can be used in a common platform to control a machine tool, interpret the sensor inputs, monitor the quality of products, and take corrective actions on a real‐time basis.

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International Journal of Quality & Reliability Management, vol. 13 no. 5
Type: Research Article
ISSN: 0265-671X

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