A review of rolling system design optimisation

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dc.contributor.author Oduguwa, Victor
dc.contributor.author Roy, Rajkumar
dc.date.accessioned 2006-04-07T15:26:55Z
dc.date.available 2006-04-07T15:26:55Z
dc.date.issued 2006-06
dc.identifier.citation Oduguwa V, Roy R. (2006) A review of rolling system design optimisation. International Journal of Machine Tools and Manufacture, Volume 46, Issues 7-8, June 2006, pp. 912-928 en
dc.identifier.issn 0890-6955
dc.identifier.uri http://hdl.handle.net/1826/1023
dc.identifier.uri http://dx.doi.org/10.1016/j.ijmachtools.2005.07.023
dc.description.abstract Rapid product development and efficient use of existing resources are key competitive drivers in the steel industry and it is imperative that solution strategies are capable of delivering high quality solutions at low cost. However, traditional search techniques for Rolling System Design (RSD) are ad hoc and users of them find it very difficult in satisfying the required commercial imperatives. This paper presents a comprehensive review of approaches for dealing with RSD problems over the years in terms of modelling and optimisation of both quantitative and qualitative aspects of the process. It critically analyses how such strategies contribute to developing timely low cost optimal solutions for the steel industry. The paper also explores the soft computing based technique as an emerging technology for a more structured RSD optimisation. The study has identified challenges posed by RSD for an algorithmic optimisation approach, especially for evolutionary computing based techniques. en
dc.format.extent 290825 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Elsevier en
dc.title A review of rolling system design optimisation en
dc.type Article en

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