Optimizing (s, S) policies for multi-period inventory models with demand distribution uncertainty: Robust dynamic programming approaches
We consider a finite-horizon single-product periodic-review inventory managementproblem with demand distribution uncertainty. We formulate the problemas a dynamic program and prove the existence of an optimal (s, S) policy. Thecorresponding dynamic robust counterpart models are then developed for th...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2017
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/5110 https://ink.library.smu.edu.sg/context/lkcsb_research/article/6109/viewcontent/yflim_EJOR2017_complete.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | We consider a finite-horizon single-product periodic-review inventory managementproblem with demand distribution uncertainty. We formulate the problemas a dynamic program and prove the existence of an optimal (s, S) policy. Thecorresponding dynamic robust counterpart models are then developed for thebox and the ellipsoid uncertainty sets. These counterpart models are transformedinto tractable linear and second-order cone programs, respectively. Weillustrate the effectiveness and practicality of the proposed robust optimizationapproaches through a numerical study. |
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