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RECOT: An expert system for the reduction of environmental cost in the textile industry

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dc.contributor.author Metaxiotis, K en
dc.date.accessioned 2014-03-01T01:53:45Z
dc.date.available 2014-03-01T01:53:45Z
dc.date.issued 2004 en
dc.identifier.issn 09685227 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/27117
dc.subject Artificial intellegence en
dc.subject Environmental regulations en
dc.subject Textile industry en
dc.subject.other Artificial intelligence en
dc.subject.other Computer programming languages en
dc.subject.other Decision making en
dc.subject.other Dyeing en
dc.subject.other Environmental protection en
dc.subject.other Management information systems en
dc.subject.other Textile industry en
dc.subject.other Economic evaluation en
dc.subject.other Environmental regulations en
dc.subject.other Expert systems en
dc.title RECOT: An expert system for the reduction of environmental cost in the textile industry en
heal.type journalArticle en
heal.identifier.primary 10.1108/09685220410542589 en
heal.identifier.secondary http://dx.doi.org/10.1108/09685220410542589 en
heal.publicationDate 2004 en
heal.abstract Environmental legislation and its enforcement has undoubtedly forced the textile industry to be rather cautious in selecting the appropriate processes and equipment. The most efficient, economic and minimal environmental pollution processing methods will be increasingly demanded throughout the 1990s. However, the majority of the textile industry consists of small and medium enterprises, where the lack of expertise on the use of best available techniques leads to levels of operation far away from the optimal. An expert system for a priori economic evaluation of potential interventions in the textile manufacturing processes and equipment is necessary to support decision making in the management level. This paper presents such an expert system, designed and implemented in four stages: formal description of the key factors that affect the dyeing process in the textile industry, development of models for the representation of relevant information, development of models for the representation of knowledge and integration of the above-mentioned models in a unified information system that supports the decision-making process in the management of textile enterprises. © Emerald Group Publishing Limited. en
heal.journalName Information Management and Computer Security en
dc.identifier.doi 10.1108/09685220410542589 en
dc.identifier.volume 12 en
dc.identifier.issue 3 en
dc.identifier.spage 218 en
dc.identifier.epage 227 en


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