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Journal of the Operational Research Society Volume 62, 2011 - Issue 3
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Supply Chain Forecasting

Multi-item sales forecasting with total and split exponential smoothing

J W TaylorUniversity of OxfordOxfordUKCorrespondence[email protected]
Pages 555-563 | Received 01 Apr 2009, Accepted 01 May 2010, Published online: 21 Dec 2017

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Juan Camilo Valderrama Balaguera. (2024) Precipitation forecast estimation applying the change point method and ARIMA. Cogent Engineering 11:1.
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Juan R Trapero, Nikolaos Kourentzes & Robert Fildes. (2015) On the identification of sales forecasting models in the presence of promotions. Journal of the Operational Research Society 66:2, pages 299-307.
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C Vidalakis, J E Tookey & J Sommerville. (2013) Demand uncertainty in construction supply chains: a discrete event simulation study. Journal of the Operational Research Society 64:8, pages 1194-1204.
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Md. Iftekharul Alam Efat, Petr Hajek, Mohammad Zoynul Abedin, Rahat Uddin Azad, Md. Al Jaber, Shuvra Aditya & Mohammad Kabir Hassan. (2022) Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales. Annals of Operations Research.
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Yasaman Ensafi, Saman Hassanzadeh Amin, Guoqing Zhang & Bharat Shah. (2022) Time-series forecasting of seasonal items sales using machine learning – A comparative analysis. International Journal of Information Management Data Insights 2:1, pages 100058.
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Chethana Dharmawardane, Ville Sillanpää & Jan Holmström. (2021) High-frequency forecasting for grocery point-of-sales: intervention in practice and theoretical implications for operational design. Operations Management Research 14:1-2, pages 38-60.
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Liang Qiao, Doudou Liu, Xueliang Yuan, Qingsong Wang & Qiao Ma. (2020) Generation and Prediction of Construction and Demolition Waste Using Exponential Smoothing Method: A Case Study of Shandong Province, China. Sustainability 12:12, pages 5094.
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Hongyan Dai, Haoyang Yu, Qing Xiao & Weihua Zhou. (2019) A Clustering-based Sales Forecast Method for Big Promotion Days in O2O On-Demand Retailing. A Clustering-based Sales Forecast Method for Big Promotion Days in O2O On-Demand Retailing.
Rahul S. Mor, Swatantra Kumar Jaiswal, Sarbjit Singh & Arvind Bhardwaj. 2019. Understanding the Role of Business Analytics. Understanding the Role of Business Analytics 87 117 .
Jānis Pekša. 2019. Information and Software Technologies. Information and Software Technologies 44 55 .
Janis Peksa. (2018) Forecasting using Contextual Data in Road Maintenance Work. Forecasting using Contextual Data in Road Maintenance Work.
Matthew Roman & Wooseung Jang. 2014. Encyclopedia of Business Analytics and Optimization. Encyclopedia of Business Analytics and Optimization 747 760 .
Dirk Pauli, Yann Lorion, Sebastian Feller, Benjamin Rupp & Ingo J. Timm. 2013. Informatics in Control, Automation and Robotics. Informatics in Control, Automation and Robotics 129 148 .

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