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Selecting IT applications in manufacturing: a KBS approach
Journal article   Open access   Peer reviewed

Selecting IT applications in manufacturing: a KBS approach

Ravi Kathuria, Murugan Anandarajan and Magid Igbaria
Omega (Oxford), v 27(6), pp 605-616
1999
url
https://digitalcommons.chapman.edu/cgi/viewcontent.cgi?article=1079&context=business_articlesView
SubmittedCC BY-NC-ND V4.0 Open

Abstract

Expert systems Information Technology Manufacturing strategy Operations management Rule induction
The use of the right type of Information Technology (IT) applications or manufacturing systems is expected to usher in a competitive advantage. Selection of the right type of IT application is, however, a challenging task. When a company, with a given dominant process structure, emphasizes two or more competitive priorities, such as quality, product flexibility, etc., an unaided manager faces a complex decision problem in choosing from alternative IT applications available in the areas of product design through distribution. In this paper, we present a Knowledge Based System (KBS) that would assist managers with the identification of IT applications that are consistent with both the competitive priorities and the process structure. Validation of the system illustrates that its performance is consistent with the human experts, and it has the potential to facilitate effective and swift decision-making in the selection of appropriate IT applications that best match an organization's manufacturing strategy.

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22 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#9 Industry, Innovation and Infrastructure

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Management
Operations Research & Management Science
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