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» Estimating Demand Uncertainty Using Judgmental Forecasts
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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
15 years 10 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
WSC
2004
14 years 11 months ago
Simulating Availability Outlook for E-Commerce Business of Personal Computer Sales
For newly designed or transformed business processes, accurately predicting business performances such as costs and customer services before actual deployment is very important. W...
Young M. Lee
85
Voted
WSC
1997
14 years 11 months ago
Real Time Discrete Event Simulation of a PCB Production System for Operational Support
The purpose of this paper is to investigate how discrete event simulation can support the growing need of information in the production system. Agility, one key to future competit...
Mats Jackson, Christer Johansson
101
Voted
ICML
1998
IEEE
15 years 11 months ago
Value Function Based Production Scheduling
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moor...
116
Voted
MOR
2007
149views more  MOR 2007»
14 years 9 months ago
LP Rounding Approximation Algorithms for Stochastic Network Design
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...
Anupam Gupta, R. Ravi, Amitabh Sinha