Knowledge-based system for estimating steel plant performance

Naylor, J. B., Griffiths, J. and Naim, Mohamed Mohamed ORCID: https://orcid.org/0000-0003-3361-9400 2001. Knowledge-based system for estimating steel plant performance. International Journal of Operations & Production Management 21 (7) , pp. 1000-1019. 10.1108/01443570110393469

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Abstract

It is vital that an enterprise establishes the relative performance of its processes within any market sector. As an enterprise measures and monitors the performance of its competitors’ processes vis-à-vis their own, the enterprise can be described as initiating a benchmarking study. This paper describes the knowledge acquisition methodology and the knowledge management methodology adopted for the development of a knowledge-based system to estimate the cash cost performance of the product delivery process of steel plants. It will show how the combination of the two methodologies interacted to produce and implement a successful knowledge-based system that estimated the cash cost performance of an electric arc furnace from incomplete and qualitative information.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics) Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Uncontrolled Keywords:	Costing ; Decision-support systems ; Information management ; Knowledge-based systems ; Steel industry
ISSN:	0144-3577
Last Modified:	17 Oct 2022 09:21
URI:	https://orca.cardiff.ac.uk/id/eprint/2885

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