Optimal forecasting for seasonal apparel items************

季节性服装商品的最佳预测************

• 批准号: 537809-2018
• 负责人: HassanzadehAmin, Saman
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=653193
• 关键词: Optimal; forecasting; seasonal; apparel; items

Loblaw Companies Limited (LCL) is the Canada's food and pharmacy leader. Loblaw operates five divisions. Joe Fresh is one of them. Today, it is one of Canada's leading fashion retailers, with products available at several retail locations. In this project, LCL and a research team from Ryerson University collaborate. In this applied research project, the objective is to determine the optimal forecast for the seasonal apparel items. To this aim, the current forecasting system is examined. In addition, the appropriate forecasting methods are developed, tested, and applied for the seasonal items. The results of this project will have benefits for the company, research, and environment in Canada because some excess transportation can be avoided.

Loblaw Companies Limited(LCL)是加拿大食品和制药行业的领先者。Loblaw经营着五个部门。乔·弗利什就是其中之一。今天，它是加拿大领先的时尚零售商之一，在几个零售点都有产品。在这个项目中，LCL和来自瑞尔森大学的一个研究团队合作。在这一应用研究项目中，目标是确定季节性服装项目的最优预测。为此，对目前的预测系统进行了研究。此外，还开发了适当的预测方法，并对季节性项目进行了测试和应用。这个项目的结果将对公司、研究和加拿大环境产生好处，因为可以避免一些过度的运输。