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Distributionally Robust Adaptive Decision Making in Inventory Routing Problems Qi, Jin
Description
We study a finite horizon stochastic inventory routing problem. The supplier acts as a central planner who determines the replenishment quantities as well as the times and routes to all retailers. We allow ambiguity in the probability distribution of uncertain demand of each retailer. We consider from a service-level point of view and minimize the risk of the uncertain inventory levels in violating the pre-specified range. To quantify this risk, we propose a decision criterion, which takes into account both the frequency and magnitudes of violation of the inventory requirement. The solutions are fully-adaptable at each period and vary with the realizations of uncertain demand. We provide algorithms to solve the problem exactly and compare the performance of our solutions with several benchmarks to show their benefits.
Item Metadata
Title |
Distributionally Robust Adaptive Decision Making in Inventory Routing Problems
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2018-03-07T11:13
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Description |
We study a finite horizon stochastic inventory routing problem. The supplier acts as a central planner who determines the replenishment quantities as well as the times and routes to all retailers. We allow ambiguity in the probability distribution of uncertain demand of each retailer. We consider from a service-level point of view and minimize the risk of the uncertain inventory levels in violating the pre-specified range. To quantify this risk, we propose a decision criterion, which takes into account both the frequency and magnitudes of violation of the inventory requirement. The solutions are fully-adaptable at each period and vary with the realizations of uncertain demand. We provide algorithms to solve the problem exactly and compare the performance of our solutions with several benchmarks to show their benefits.
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Extent |
32 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Hong Kong University of Science and Technology
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Series | |
Date Available |
2018-09-04
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0371897
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International