Demand Forecasting in the Fashion Industry: A Review

Forecasting demand is a crucial issue for driving efficient operations management plans. This is especially the case in the fashion industry, where demand uncertainty, lack of historical data and seasonal trends usually coexist. Many approaches to this issue have been proposed in the literature over the past few decades. In this paper, forecasting methods are compared with the aim of linking approaches to the market features.

[1]  Yong Yu,et al.  An intelligent fast sales forecasting model for fashion products , 2011, Expert Syst. Appl..

[2]  O. Borgia,et al.  Bucket Brigades to Increase Productivity in a Luxury Assembly Line , 2013 .

[3]  Adel A. Ghobbar,et al.  Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model , 2003, Comput. Oper. Res..

[4]  Rafael S Gutierrez,et al.  Lumpy Demand Forecasting , 2015 .

[5]  R. Iannone,et al.  Merchandise and Replenishment Planning Optimisation for Fashion Retail , 2013 .

[6]  Yong Yu,et al.  Fashion retail forecasting by evolutionary neural networks , 2008 .

[7]  Ralph Snyder,et al.  Forecasting sales of slow and fast moving inventories , 2002, Eur. J. Oper. Res..

[8]  R. Quintana,et al.  Lumpy demand forecasting using neural networks , 2001, PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199).

[9]  M. Christopher,et al.  An Integrated Model for the Design of Agile Supply Chains. , 2001 .

[10]  Stefan Minner,et al.  Dynamic product acquisition in closed loop supply chains , 2012 .

[11]  Roberto Verganti,et al.  Managing demand uncertainty through order overplanning , 1995 .

[12]  Marshall L. Fisher,et al.  Supply Chain Inventory Management and the Value of Shared Information , 2000 .

[13]  Teruji Sekozawa,et al.  One-to-one recommendation system in apparel online shopping , 2010 .

[14]  Janice H. Hammond,et al.  Retailing and Supply Chains in the Information Age , 2000 .

[15]  Ke Xing,et al.  Supplier selection and evaluation method using Analytical Hierarchy Process (AHP): a case study on an apparel manufacturing organisation , 2009 .

[16]  Yoram Gutgeld,et al.  Are You Going out of Fashion , 1995 .

[17]  R. Kodali,et al.  INTERNAL BENCHMARKING FOR ASSESSMENT OF SUPPLY CHAIN PERFORMANCE , 2010 .

[18]  P. Ghemawat,et al.  ZARA : fast fashion , 2006 .

[19]  Yong Yu,et al.  Sales forecasting using extreme learning machine with applications in fashion retailing , 2008, Decis. Support Syst..

[20]  Tsan-Ming Choi,et al.  Quick response in fashion supply chains with dual information updating , 2006 .

[21]  David J. Burns,et al.  Apparel Product Quality: Its Nature and Measurement , 2011 .

[22]  Andrew W. Howard,et al.  FORECASTING FOR THE ORDERING AND STOCK- HOLDING OF CONSUMABLE SPARE PARTS , 2002 .

[23]  Roberto Verganti,et al.  A simulation framework for forecasting uncertain lumpy demand , 1999 .

[24]  E. Battistoni,et al.  Prominent Determinants of Consumer-Based Brand Equity , 2013 .

[25]  H.L. Lee,et al.  Aligning Supply Chain Strategies with Product Uncertainties , 2002, IEEE Engineering Management Review.

[26]  Mario Tucci,et al.  Layout Design for a Low Capacity Manufacturing Line: A Case Study , 2013 .

[27]  Massimiliano M. Schiraldi,et al.  The Logistic Maturity Model: Application to a Fashion Company , 2013 .

[28]  Fabio De Felice,et al.  Key Success Factors for Organizational Innovation in the Fashion Industry , 2013 .

[29]  Emilio Bartezzaghi,et al.  The Impact of Aggregation Level on Lumpy Demand Management , 2011 .

[30]  J. D. Croston Forecasting and Stock Control for Intermittent Demands , 1972 .

[31]  J. Boylan,et al.  Forecasting for Items with Intermittent Demand , 1996 .

[32]  B. Adrien Zara: It for fast fashion , 2014 .

[33]  J. Boylan,et al.  The accuracy of intermittent demand estimates , 2005 .

[34]  Maria Elena Nenni,et al.  Product Lifecycle Management as a Tool to Create Value in the Fashion System , 2013 .

[35]  T. Willemain,et al.  Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method , 1994 .

[36]  R. Brown Statistical forecasting for inventory control , 1960 .

[37]  B. Jin,et al.  A Conceptual Process of Implementing Quality Apparel Retail Store Attributes: An Application of Kano's Model and the Quality Function Deployment Approach , 2012 .

[38]  Ananth V. Iyer,et al.  Quick Response in Manufacturer-Retailer Channels , 1997 .

[39]  A. Solis,et al.  LUMPY DEMAND CHARACTERIZATION AND FORECASTING PERFORMANCE : AN EXPLORATORY CASE STUDY , 2004 .

[40]  Chen-Fu Chien,et al.  Demand Forecasting Using Bayesian Experiment with Non-homogenous Poisson Process Model , 2005 .

[41]  René de Koster,et al.  Forecasting demand for single-period products: A case study in the apparel industry , 2011, Eur. J. Oper. Res..

[42]  Manuel D. Rossetti,et al.  A Parametric Bootstrapping Approach to Forecast Intermittent Demand , 2008 .

[43]  Enzo Peruffo,et al.  Revitalising the Outsourcing Discourse within the Boundaries of Firms Debate , 2012 .

[44]  Hing Kai Chan,et al.  An AHP model for selection of suppliers in the fast changing fashion market , 2010 .

[45]  Pei-Chann Chang,et al.  The development of a weighted evolving fuzzy neural network for PCB sales forecasting , 2007, Expert Syst. Appl..

[46]  J. Boylan,et al.  On the bias of intermittent demand estimates , 2001 .

[47]  Hau L. Lee,et al.  Mitigating supply chain risk through improved confidence , 2004 .

[48]  Russell King,et al.  Quick Response: Managing the Supply Chain to Meet Consumer Demand , 1999 .

[49]  Andrea Fumi,et al.  Fourier Analysis for Demand Forecasting in a Fashion Company , 2013 .