@inproceedings{d3734ccac05d48fdb30fbd98bbca9b45,
title = "Regression based integration of demand forecasting and inventory decision",
abstract = "In the traditional inventory decision-making, demand forecasting and inventory control decisions are made independently, so it is difficult to ensure that the inventory cost is minimized. To make the demand forecasting and inventory control be consistent, this paper proposes a cost regression model, in which the demand forecasting is combined with the inventory decisions, aiming to minimize the inventory cost rather than the forecast error. A computational example is presented, to show the difference of the integrated decision-making model and the decentralized decision-making model.",
keywords = "Cost regression model, Demand forecasting, Inventory control",
author = "Xi, \{Meng Hao\} and Wang, \{He Xing\} and Zhao, \{Qiu Hong\}",
year = "2012",
doi = "10.4028/www.scientific.net/AMR.433-440.2954",
language = "英语",
isbn = "9783037853191",
series = "Advanced Materials Research",
pages = "2954--2956",
booktitle = "Materials Science and Information Technology, MSIT2011",
note = "2011 International Conference on Material Science and Information Technology, MSIT2011 ; Conference date: 16-09-2011 Through 18-09-2011",
}