Abstract
Now, it has become interested in this area, setting both maximum emissions standards and minimum exhaust equipment warranty durations for products registered in the country. These longer emissions warranties, sometimes called extended warranties or “super warranties,” have also been adapted. Super warranties are not just a legal requirement. It’s a way for peoples to demonstrate a greenery commitment to many customers while meeting their needs. The aim of this paper is to present a new approach used in such super warranty problem. It can be used in the construction of neural network base for a warranty system in green IT’s point of view, whose main objectives are to be able to improve the environmental reliability of current production systems. It also aims to provide a repository of knowledge based on lessons learned from previous warranty programs in a form that enables the knowledge to be easily retrieved and applied in new warranty programs as a decision making tool.
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Lee, S., Cho, S., Moon, K. (2010). Neural Network Approach for Greenery Warranty Systems. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_17
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DOI: https://doi.org/10.1007/978-3-642-14831-6_17
Publisher Name: Springer, Berlin, Heidelberg
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