Technical Note—Branch-and-Price-and-Cut Approach to the Robust Network Design Problem Without Flow Bifurcations

2012 ◽  
Vol 60 (3) ◽  
pp. 604-610 ◽  
Author(s):  
Chungmok Lee ◽  
Kyungsik Lee ◽  
Kyungchul Park ◽  
Sungsoo Park
2014 ◽  
Vol 238 (3) ◽  
pp. 711-723 ◽  
Author(s):  
Eduardo Álvarez-Miranda ◽  
Valentina Cacchiani ◽  
Andrea Lodi ◽  
Tiziano Parriani ◽  
Daniel R. Schmidt

2018 ◽  
Vol 92 ◽  
pp. 155-169 ◽  
Author(s):  
Barış Yıldız ◽  
Oya Ekin Karaşan ◽  
Hande Yaman

2020 ◽  
Vol 1 (4) ◽  
Author(s):  
Kristian Thun ◽  
Henrik Andersson ◽  
Magnus Stålhane

AbstractMaritime transportation is the backbone of the global economy and one of its most important segments is liner shipping. To design a liner shipping network is notoriously difficult but also very important since an efficient network can be the difference between prosperity and bankruptcy. In this paper, we propose a branch-and-price algorithm for the liner shipping network design problem, which is the problem of designing a set of cyclic services and to deploy a specific class of vessels to each service so that all demand can flow through the network at minimal cost. The proposed model can create services with a complex structure and correctly calculate the transshipment cost. The formulation of the master problem strengthens a known formulation with valid inequalities. Because of multiple dependencies between ports that are not necessarily adjacent and no defining state at any of the ports, the subproblem is formulated and solved as a mixed integer linear program. Strategies to improve the solution time of the subproblem are proposed. The computational study shows that the algorithm provides significantly tighter lower bounds in the root node than existing methods on a set of small instances.


2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Hua Sun ◽  
Ziyou Gao ◽  
Fangxia Zhao

This paper develops an adjustable robust optimization approach for a network design problem explicitly incorporating traffic dynamics and demand uncertainty. In particular, a cell transmission model based network design problem of linear programming type is considered to describe dynamic traffic flows, and a polyhedral uncertainty set is used to characterize the demand uncertainty. The major contribution of this paper is to formulate such an adjustable robust network design problem as a tractable linear programming model and justify the model which is less conservative by comparing its solution performance with the robust solution from the usual robust model. The numerical results using one network from the literature demonstrate the modeling advantage of the adjustable robust optimization and provided strategic managerial insights for enacting capacity expansion policies under demand uncertainty.


Sign in / Sign up

Export Citation Format

Share Document