Intelligent Fashion Forecasting Systems: Models and Applications

Forecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many trad...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Choi, Tsan-Ming (Επιμελητής έκδοσης), Hui, Chi-Leung (Επιμελητής έκδοσης), Yu, Yong (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I: Introduction, review and exploratory studies
  • 1.1 Introduction: Intelligent Fashion Forecasting
  • 1.2  Sales forecasting in Apparel and Fashion Industry: a review
  • Collaborative Planning Forecasting Replenishment Schemes in Apparel Supply Chain Systems: Cases and Research Opportunities
  • Part II: Theoretical modeling research
  • 2.1  Measuring Forecasting Accuracy: Problems and Recommendations (by the example of SKU-level judgmental adjustments)
  • 2.2 Forecasting Demand for Fashion Goods: A Hierarchical Bayesian Approach
  • Forecasting Fashion Store Reservations: Booking Horizon Forecasting with Dynamic Updating
  • Part III: Intelligent fashion forecasting: applications and analysis
  • 3.1 Fuzzy Forecast Combining for Apparel Demand Forecasting
  • 3.2 Intelligent Fashion Colour Trend Forecasting Schemes: A Comparative Study
  • 3.3 Neural Networks Based for Romanian Clothing Sector.      .