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Managing manufacturing technology investments: An intelligent learning system approach

journal contribution
posted on 2006-01-01, 00:00 authored by K Tan, Chee Peng LimChee Peng Lim, K Platts, H Koay
This paper proposes an intelligent decision-support system for managing manufacturing technology investments. The intelligent system is a hybrid integration of two information processing modules: case-based reasoning and fuzzy ARTMAP – a supervised adaptive resonance theory (ART) neural network with a multi-dimensional map. The developed system captures a company's strategic information, provides facilities to quantify qualitative attributes and analyses them alongside the quantitative attributes in an evaluation framework. Through the system, similar cases can be retrieved to enable managers to make effective use of their knowledge and experience of previously delivered technologies and projects as an input to the prioritization of future projects. Other salient features of the system include its ability to adapt and absorb new knowledge and responses pertaining to significant events in the business environment, as well as to extract and elucidate information from the knowledge database for explaining and justifying its analysis. The applicability of the developed system is evaluated using a real case study in collaboration with a pharmaceutical manufacturing firm.

History

Journal

International journal of computer integrated manufacturing

Volume

19

Issue

1

Pagination

4 - 13

Publisher

Taylor & Francis

Location

Essex, United Kingdom

ISSN

0951-192X

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2006, Taylor & Francis