Abstract
We propose a two-stage robust optimization model for the mobile facility fleet sizing and routing problem with demand uncertainty. A two-level cutting plane based method is developed, which includes an algorithm to generate problem-specific lower bound inequalities in the outer level, and a hybrid algorithm in the inner level that combines heuristic and exact methods to solve the recourse problem. Numerical tests show that the design and operation from the proposed method outperforms other solution approaches. The efficiency of the proposed solution algorithm in identifying the optimal solution is quantified and the robustness of the proposed model is demonstrated for varying degrees of uncertainty in demand.
Original language | English (US) |
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Pages (from-to) | 75-89 |
Number of pages | 15 |
Journal | Computers and Operations Research |
Volume | 67 |
DOIs | |
State | Published - Mar 1 2016 |
Keywords
- Fleet management
- Mobile facility
- Robust optimization
ASJC Scopus subject areas
- General Computer Science
- Modeling and Simulation
- Management Science and Operations Research