A distributionally robust optimisation model for last mile relief network under mixed transport

2020 ◽  
pp. 1-25
Author(s):  
Peiyu Zhang ◽  
Yankui Liu ◽  
Guoqing Yang ◽  
Guoqing Zhang
Keyword(s):  
Robust Optimisation ◽  
Last Mile ◽  
Optimisation Model ◽  
Distributionally Robust

A robust optimisation model for production planning and pricing under demand uncertainty

2016 ◽  
Vol 54 (13) ◽  
pp. 3885-3905 ◽  
Author(s):  
Ehsan Ardjmand ◽  
Gary R. Weckman ◽  
William A. Young ◽  
Omid Sanei Bajgiran ◽  
Bizhan Aminipour
Keyword(s):  
Production Planning ◽  
Demand Uncertainty ◽  
Robust Optimisation ◽  
Optimisation Model

A robust optimisation model for remanufacturing network design problem with one-way substitution

2016 ◽  
Vol 24 (4) ◽  
pp. 484 ◽  
Author(s):  
Alireza Ghafarimoghadam ◽  
Atefeh Karimi ◽  
Mohammad Mousazadeh ◽  
Mir Saman Pishvaee
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Network Design Problem ◽  
Robust Optimisation ◽  
Optimisation Model

scholarly journals Robust Optimisation Approach for Vehicle Routing Problems with Uncertainty

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Liang Sun ◽  
Bing Wang
Keyword(s):  
Vehicle Routing ◽  
Numerical Experiments ◽  
Transportation Cost ◽  
Solution Procedure ◽  
Vehicle Routing Problems ◽  
Robust Optimisation ◽  
Solution Quality ◽  
Routing Problems ◽  
Optimisation Model ◽  
Future Demand

We formulated a solution procedure for vehicle routing problems with uncertainty (VRPU for short) with regard to future demand and transportation cost. Unlike E-SDROA (expectation semideviation robust optimisation approach) for solving the proposed problem, the formulation focuses on robust optimisation considering situations possibly related to bidding and capital budgets. Besides, numerical experiments showed significant increments in the robustness of the solutions without much loss in solution quality. The differences and similarities of the robust optimisation model and existing robust optimisation approaches were also compared.

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