Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
554866 | Decision Support Systems | 2006 | 14 Pages |
Abstract
Competition and globalization imply a very accurate production and sourcing management of the Textile–Apparel–Distribution network actors. A sales forecasting system is required to respond to the versatile textile market and the needs of the distributors. Nowadays, due to the specific constraints of the textile sales (numerous and new items, short life time), existing forecasting models are generally unsuitable or unusable. We propose a forecasting system, based on clustering and classification tools, which performs mid-term forecasting. Performances of our models are evaluated using real data from an important French textile distributor.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Sébastien Thomassey, Antonio Fiordaliso,