NDLI: Generating Fuzzy Coloured Petri Net Forecasting Model to Predict the Return of Products

Content Provider	IEEE Xplore Digital Library
Author	Hanafi, J. Kara, S. Kaebernick, H.
Copyright Year	2007
Description	Author affiliation: Univ. of New South Wales, Sydney (Hanafi, J.; Kara, S.; Kaebernick, H.)
Abstract	Managing product return is one of the issues in reverse logistics which has been developing with increasing environmental awareness. Currently various collection strategies are conducted throughout the world to gather old products to be reused, recycled or reprocessed. In order to effectively collect those products, these strategies have to be designed to suit various locations. Therefore, information on the quantity of product returns in those locations is essential. This paper presents an implementation of fuzzy coloured Petri net forecasting model to predict mobile phone returns in various locations in Australia. The results shows up to 90 percent forecast accuracy in predicting mobile phone returns.
Starting Page	245
Ending Page	250
File Size	4654391
Page Count	6
File Format	PDF
ISBN	142440861X
ISSN	10952020
DOI	10.1109/ISEE.2007.369402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Reverse logistics Australia Mobile handsets Marketing and sales Recycling Warranties Environmental management Engineering management Technology forecasting Fuzzy Coloured Petri Nets product returns forecast
Content Type	Text
Resource Type	Article

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