Fusing data-mining and knowledge elicitation for the supervisory control of an aluminium plate mill

Knowledge-elicitation is a common technique used to produce rules about the operation of a plant from the knowledge that is available from human expertise. Similarly, data-mining is becoming a popular technique to extract rules from the data available from the operation of a plant. In the work reported here knowledge was required to enable the supervisory control of an aluminium hot strip mill by the determination of mill set-points. A method was developed to fuse knowledge-elicitation and data-mining to incorporate the best aspects of each technique, whilst avoiding known problems. Utilisation of the knowledge was through an expert system, which determined schedules of set-points and provided information to human operators. The results show that the method proposed in this paper was effective in producing rules for the on-line control of a complex industrial process.

Design, implementation and testing of an intelligent knowledge-based system for the supervisory control of a hot rolling mill

This paper describes the design, implementation and testing of an intelligent knowledge-based supervisory control (IKBSC) system for a hot rolling mill process. A novel architecture is used to integrate an expert system with an existing supervisory control system and a new optimization methodology for scheduling the soaking pits in which the material is heated prior to rolling. The resulting IKBSC system was applied to an aluminium hot rolling mill process to improve the shape quality of low-gauge plate and to optimise the use of the soaking pits to reduce energy consumption. The results from the trials demonstrate the advantages to be gained from the IKBSC system that integrates knowledge contained within data, plant and human resources with existing model-based systems. (c) 2005 Elsevier Ltd. All rights reserved.

March 2004: Film Festival Honors Brown v. Board of Education

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The relationship between board of director's nationality diversity and financial performance

Companies are moving to a more international structure; going into new markets and having an increased competition in all fronts. Therefore, the practices that lead companies to a more efficient and competitive position are praised. The management of the workforce comes as one of the main concerns of companies, aiming at performance enhancing and at creating better environments that both attract and maintain the professional talents. In an increasingly international environment, companies tend to look for the specialists and best professionals, regardless of their nationality. This new structure with several different nationalities working together poses new challenges for companies. Understanding if and how a more diverse has a relationship with financial performance is the starting point for better managing this new corporate structure.