ISICA 2010: Advances in Computation and Intelligence pp 297-303 | Cite as
Capacity Allocation Policy of Third Party Warehousing with Dynamic Optimization
Abstract
Dynamic booking control is a hard problem in warehousing capacity allocation. With the similar method to solve stochastic knapsack problems, a dynamic and stochastic programming model is established in this paper. The dynamic booking control policies are put forward based on threshold value and the analysis of the characteristic of the model. Finally, optimization warehousing allocation policy is achieved by digital simulation. This shows that expecting revenue is concave function of surplus capacity, and also concave function of booking leading time, while the opportunity cost is a non-increase function of surplus capacity, and also a non- increase function of booking leading time. These policies provide scientific foundation for real-time decision-makers of 3PW companies.
Keywords
third party warehousing revenue management booking control dynamic and stochastic programmingPreview
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