| 书目名称 | Retail Analytics |
| 副标题 | Integrated Forecasti |
| 编辑 | Anna-Lena Sachs |
| 视频video | |
| 概述 | Presents a data driven approach that integrates demand forecasting and inventory management.Presents an optimal inventory policy for a multi-product newsvendor setting with an aggregated service level |
| 丛书名称 | Lecture Notes in Economics and Mathematical Systems |
| 图书封面 |  |
| 描述 | .This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data forbakery products.. |
| 出版日期 | Book 2015 |
| 关键词 | Behavioral operations management; Inventory management; Retail; Substitution; Unobservable lost sales |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-13305-8 |
| isbn_softcover | 978-3-319-13304-1 |
| isbn_ebook | 978-3-319-13305-8Series ISSN 0075-8442 Series E-ISSN 2196-9957 |
| issn_series | 0075-8442 |
| copyright | Springer International Publishing Switzerland 2015 |
发表于 2025-3-21 20:03:14
