Titlebook: Retail Analytics; Integrated Forecasti Anna-Lena Sachs Book 2015 Springer International Publishing Switzerland 2015 Behavioral operations m

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書目名稱Retail Analytics影響因子(影響力)




書目名稱Retail Analytics影響因子(影響力)學科排名




書目名稱Retail Analytics網(wǎng)絡(luò)公開度




書目名稱Retail Analytics網(wǎng)絡(luò)公開度學科排名




書目名稱Retail Analytics被引頻次




書目名稱Retail Analytics被引頻次學科排名




書目名稱Retail Analytics年度引用




書目名稱Retail Analytics年度引用學科排名




書目名稱Retail Analytics讀者反饋




書目名稱Retail Analytics讀者反饋學科排名

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Literature Review,In the following we will review literature on unobservable lost sales estimation, assortment planning and behavioral operations management.

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混合物

https://doi.org/10.1007/978-3-319-13305-8Behavioral operations management; Inventory management; Retail; Substitution; Unobservable lost sales

Abbreviate

Introduction,ck of supply chain coordination which leads to expired excess inventories (Gustavsson et al. 2011). A study by the United States Department of Agriculture found that 11.4?% fresh fruit, 9.7?% fresh vegetables, and 4.5?% fresh meat and seafood are wasted annually (Buzby et al. .). In Germany, 11 mill

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Safety Stock Planning Under Causal Demand Forecasting,al data. A time series based framework uses a forecast (and a measure of forecast error) to parameterize the demand model. However, demand might depend on many other factors rather than just time and demand history. Inspired by a retail inventory management application where customer demand, among o

通便

The Data-Driven Newsvendor with Censored Demand Observations,ch based on a data-driven approach. For this purpose, we extend the model introduced in Chap. 3 To improve the forecast accuracy, we simultaneously estimate unobservable lost sales, determine the coefficients of the exogenous variables which drive demand, and calculate the optimal order quantity. Si