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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Bin Cui Wentian Xin Chunlin |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Manage., XV an Jiaotong Univ., Shanxi (Liu Bin; Cui Wentian) |
| Abstract | This paper considers the cash balance problem with non-stationary uncertain demand. Online algorithm with risk-reward is used by decision-makers who employ base stock policy. In the online model, the manager could not describe probability distribution but knew exactly the lower bound and upper bound of future demand. We design online risk strategy in terms of forecasting, and measured the reward of online risk strategy by comparing its performance with that of optimal deterministic online algorithm when forecasting is successful. We also proposed a set of online risk strategy whose risk was restricted to a tolerance level by designing the upper bound and range of forecasting while forecasting isn't successful. The online strategy gains reward if successful, the risk is acceptable if unsuccessful. The decision-makers can design an online strategy to improve performance in the light of his risk tolerance level. |
| Starting Page | 577 |
| Ending Page | 581 |
| File Size | 236520 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769532585 |
| DOI | 10.1109/ISECS.2008.87 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-03 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Competitive Ratio Upper bound Cash balance problem Online Algorithm with Risk-reward Biological system modeling Optimized production technology Probability distribution Security Forecasting |
| Content Type | Text |
| Resource Type | Article |
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