A robust optimization approach for the winner determination problem with uncertainty on shipment volumes and carriers’ capacity
•A two-stage robust formulation for the WDP with two uncertain parameters.•An improved exact constraint generation algorithm to solve medium instances.•Improvement strategies consist in adding multiple valid cuts at each iteration.•Adding uncertainty on carriers’ capacity induces changes in winning...
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Published in | Transportation research. Part B: methodological Vol. 123; pp. 127 - 148 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Elsevier Ltd
01.05.2019
Elsevier Science Ltd Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | •A two-stage robust formulation for the WDP with two uncertain parameters.•An improved exact constraint generation algorithm to solve medium instances.•Improvement strategies consist in adding multiple valid cuts at each iteration.•Adding uncertainty on carriers’ capacity induces changes in winning carriers/bids.•Handling uncertainty on carriers’ capacity reduces operational costs.
This paper addresses the winner determination problem (WDP) for TL transportation procurement auctions under uncertain shipment volumes and uncertain carriers’ capacity. It extends an existing two-stage robust formulation proposed for the WDP with uncertain shipment volumes. The paper identifies and theoretically validates a number of accelerating strategies to speed up the convergence of a basic constraint generation algorithm proposed in the literature. Experimental results prove the high computational performance of the proposed new algorithm and the relevance of considering uncertainty on the carriers’ capacity when solving the WDP. |
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ISSN: | 0191-2615 1879-2367 |
DOI: | 10.1016/j.trb.2019.03.017 |