A Robust Optimization of Capacity Allocation Policies in the Third-Party Warehouse
We study the capacity allocation policies of a third-party warehouse center, which supplies several different level services on different prices with fixed capacity, on revenue management perspective. For the single period situation, we use three different robust methods, absolute robust, deviation...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2015-01-01
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| Series: | Mathematical Problems in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/810798 |
| Summary: | We study the capacity allocation policies of a third-party warehouse center, which supplies
several different level services on different prices with fixed capacity, on revenue management
perspective. For the single period situation, we use three different robust methods, absolute
robust, deviation robust, and relative robust method, to maximize the whole revenue. Then we give some
numerical examples to verify the practical applicability. For the multiperiod situation, as the
demand is uncertain, we propose a stochastic model for the multiperiod revenue management
problem of the warehouse. A novel robust optimization technique is applied in this model to
maximize the whole revenue. Then we give some numerical examples to verify the practical
applicability of our method. |
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| ISSN: | 1024-123X 1563-5147 |