Advanced Computing Techniques: New tools for fast fashion sales forecasting
2014 (English)Conference paper, Published paper (Refereed)
Sustainable development
The content falls within the scope of Sustainable Development
Abstract [en]
This paper was developed in order to collect resources for future research that aims to design and evaluate an appropriate forecasting system, which is able to contribute to the sustainability of the fast fashion model. It describes in a systematic way how the tasks of forecasting demand and placing orders are currently performed in the fast fashion model. It was also needed to ground this description on theoretical concepts of forecast and management. The study reviews some of the available advanced computing techniques used for forecasting clothing demand and analyzes the implications of better forecasting techniques in the FF model. We expose why there is a need for better forecasting in the fast fashion model and the promising techniques that can be tested to improve managerial operations in the fast fashion model.
Place, publisher, year, edition, pages
Tampere University of Technology, Finland , 2014.
Keywords [en]
Fast fashion, forecasting, operational flexibility, design, advanced computing techniques, Textile Management
National Category
Economics and Business Computer and Information Sciences
Research subject
Textiles and Fashion (General)
Identifiers
URN: urn:nbn:se:hb:diva-7218Local ID: 2320/14139ISBN: 978-952-15-3269-6 (print)OAI: oai:DiVA.org:hb-7218DiVA, id: diva2:887927
Conference
Ambience14 &10i3m, Tampere Hall, Tampere, Finland 7-9 September 2014
Note
Sponsorship:
Erasmus Mundus SMDTex Program
2015-12-222015-12-222018-03-27Bibliographically approved