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Bhardwaj V, Fairhurst A. Fast fashion: response to changes in the fashion industry. The International Review of Retail, Distribution and Consumer Research 2010, 20(1): 165-173.BhardwajVFairhurstA.Fast fashion: response to changes in the fashion industry. The International Review of Retail, Distribution and Consumer Research2010, 20(1): 165-173.Search in Google Scholar
Barnes L, Lea-Greenwood G. Fast fashion in the retail store environment. International Journal of Retail & Distribution Management 2010, 38(10): 760-772.BarnesLLea-GreenwoodG.Fast fashion in the retail store environment. International Journal of Retail & Distribution Management2010, 38(10): 760-772.Search in Google Scholar
Čiarnienė R, Vienažindienė M. Management of Contemporary Fashion Industry: Characteristics and Challenges. Procedía-Social and Behavioral Sciences 2014, 156: 63-68.ČiarnienėRVienažindienėM.Management of Contemporary Fashion Industry: Characteristics and Challenges. Procedía-Social and Behavioral Sciences2014, 156: 63-68.Search in Google Scholar
Lin YT, Parlaktürk AK, Swaminathan JM. Vertical Integration under Competition: Forward, Backward, or No Integration? Production and Operations Management 2014, 23(1):19-35.LinYTParlaktürkAKSwaminathanJM.Vertical Integration under Competition: Forward, Backward, or No Integration?Production and Operations Management2014, 23(1):19-35.Search in Google Scholar
Alexandersson E, R, Matlak R, Torell V. Cultural differences in fashion magazines, Targeting Vogue 2017.AlexanderssonERMatlakRTorellV.Cultural differences in fashion magazines, Targeting Vogue2017.Search in Google Scholar
Zalay D. Environmental impacts of fashion industry increasingly alarming, Environmental Impacts of Fashion Industry Increasingly Alarming (hungarytoday.hu) 2021ZalayD.Environmental impacts of fashion industry increasingly alarming, Environmental Impacts of Fashion Industry Increasingly Alarming (hungarytoday.hu)2021Search in Google Scholar
Laaziz El. AI based forecasting in fast fashion industry: a review. IOP Conference Series: Materials Science and Engineering 2020. 827. 012065. 10.1088/1757-899X/827/1/012065.LaazizEl.AI based forecasting in fast fashion industry: a review. IOP Conference Series: Materials Science and Engineering2020. 827. 012065. 10.1088/1757-899X/827/1/012065.Open DOISearch in Google Scholar
Yelland PM, Dong X. Forecasting Demand for Fashion Goods: A Hierarchical Bayesian Approach. In T.-M. Choi,C.-L. Hui, & Y. Yu (Eds.), Intelligent Fashion Forecasting Systems: Models and Applications 2014, 71-94. Berlin, Heidelberg: Springer Berlin Heidelberg YellandPMDongX.Forecasting Demand for Fashion Goods: A Hierarchical Bayesian Approach. In ChoiT.-M.HuiC.-L.YuY. (Eds.), Intelligent Fashion Forecasting Systems: Models and Applications2014, 71-94. Berlin, Heidelberg: Springer Berlin HeidelbergSearch in Google Scholar
Ramos P, Oliveira JM. A Procedure for Identification of Appropriate State Space and ARIMA Models Based on TimeSeries Cross-Validation. Algorithms 2016, 9 (4): 76.RamosPOliveiraJM.A Procedure for Identification of Appropriate State Space and ARIMA Models Based on TimeSeries Cross-Validation. Algorithms2016, 9 (4): 76.Search in Google Scholar
Frank C, Garg A, Sztandera L, Raheja A. Forecasting women’s apparel sales using mathematical modeling. International Journal of Clothing Science and Technology 2003, 15(2): 107-125.FrankCGargASztanderaLRahejaA.Forecasting women’s apparel sales using mathematical modeling. International Journal of Clothing Science and Technology2003, 15(2): 107-125.Search in Google Scholar
Au, K. F., Choi T. M. & Yu Y. (2008).Fashion retail forecasting by evolutionary neural networks. International Journal of Production Economics, 114(2), 615-630.AuK. F.ChoiT. M.YuY. (2008).Fashion retail forecasting by evolutionary neural networks. International Journal of Production Economics, 114(2), 615-630.Search in Google Scholar
Sun ZL, Choi TM, Au KF, Yu Y. Sales forecasting using extreme learning machine with applications in fashion retailing. Decision Support Systems 2008, 46: 411-419.SunZLChoiTMAuKFYuY.Sales forecasting using extreme learning machine with applications in fashion retailing. Decision Support Systems2008, 46: 411-419.Search in Google Scholar
Yüzbaşioğlu O, Küçükaydin, H. Forecasting with Ensemble Methods: An Application Using Fashion Retail Sales Data. Unpublished doctoral dissertation 2019. MEF University Institute of Science and Technology, Istanbul, Turkey.YüzbaşioğluOKüçükaydinH.Forecasting with Ensemble Methods: An Application Using Fashion Retail Sales Data. Unpublished doctoral dissertation2019. MEF University Institute of Science and Technology, Istanbul, Turkey.Search in Google Scholar
Abhishekh, Gautam SC, Singh SR. A new method of time series forecasting using intuitionistic fuzzy set based on average-length. Journal of Industrial and Production Engineering 2020, 37(4): 175-185.Abhishekh, GautamSCSinghSR.A new method of time series forecasting using intuitionistic fuzzy set based on average-length. Journal of Industrial and Production Engineering2020, 37(4): 175-185.Search in Google Scholar
Huang H, Liu Q. Intelligent retail forecasting system for new clothing products considering stock-out. Fibres and Textiles in Eastern Europe 2017, 25 (1):10-16.HuangHLiuQ.Intelligent retail forecasting system for new clothing products considering stock-out. Fibres and Textiles in Eastern Europe2017, 25 (1):10-16.Search in Google Scholar
Loureiro ALD, Miguéis VL, da Silva LFM. Exploring the use of deep neural networks for sales forecasting in fashion retail. Decision Support Systems 2018, 114: 81-93.LoureiroALDMiguéisVLda SilvaLFM.Exploring the use of deep neural networks for sales forecasting in fashion retail. Decision Support Systems2018, 114: 81-93.Search in Google Scholar
Singh P, Gupta Y, Jha N, Rajan A. Fashion Retail: Forecasting Demand for New Items. ArXiv 2019, abs/1907.01960.SinghPGuptaYJhaNRajanA.Fashion Retail: Forecasting Demand for New Items. ArXiv2019, abs/1907.01960.Search in Google Scholar
Comlan M, Koulo E. Sales Forecast and Design Generation for Textile Products Using Machine Learning. Proceedings of the 2022 Future of Information and Communication Conference 2022, 183197.ComlanMKouloE.Sales Forecast and Design Generation for Textile Products Using Machine Learning. Proceedings of the 2022 Future of Information and Communication Conference2022, 183-197.Search in Google Scholar
Liaw A, Wiener M. Classification and Regression by RandomForest. R News 2002, 2(3):18-22.LiawAWienerM.Classification and Regression by RandomForest. R News2002, 2(3):18-22.Search in Google Scholar
Chen T, Guestrin C. XGBoost: A Scalable Tree Boosting System. Paper presented at the Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2016, San Francisco, California, USA.ChenTGuestrinC.XGBoost: A Scalable Tree Boosting System. Paper presented at the Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining2016, San Francisco, California, USA.Search in Google Scholar
Cui R, Gallino S, Moreno A, Zhang DJ. The Operational Value of Social Media Information. Production and Operations Management 2018, 27(10): 1749-1769.CuiRGallinoSMorenoAZhangDJ.The Operational Value of Social Media Information. Production and Operations Management2018, 27(10): 1749-1769.Search in Google Scholar
Boone T, Ganeshan R, Hicks RL, Sanders NR. Can Google Trends Improve Your Sales Forecast? Production and Operations Management 2018, 27(10): 1770-1774.BooneTGaneshanRHicksRLSandersNR.Can Google Trends Improve Your Sales Forecast?Production and Operations Management2018, 27(10): 1770-1774.Search in Google Scholar
Yavari M, Ajalli P. Suppliers’ coalition strategy for green-Resilient supply chain network design. Journal of Industrial and Production Engineering 2021, 38(3): 197212.YavariMAjalliP.Suppliers’ coalition strategy for green-Resilient supply chain network design. Journal of Industrial and Production Engineering2021, 38(3): 197-212.Search in Google Scholar
Tsao YC, Zhang Q, Zhang X, Vu TL. Supply chain network design for perishable products under trade credit. Journal of Industrial and Production Engineering 2921, 38(6): 466-474.TsaoYCZhangQZhangXVuTL.Supply chain network design for perishable products under trade credit. Journal of Industrial and Production Engineering2921, 38(6): 466-474.Search in Google Scholar
Sudusinghe JI, Seuring S. Supply chain collaboration and sustainability performance in circular economy: A systematic literature review. International Journal of Production Economics 2021, 108402.SudusingheJISeuringS.Supply chain collaboration and sustainability performance in circular economy: A systematic literature review. International Journal of Production Economics2021, 108402.Search in Google Scholar