An exact algorithm for the single liner service design problem with speed optimisation

2020 ◽  
pp. 1-24
Author(s):  
Nadjib Brahimi ◽  
Ali Cheaitou ◽  
Pierre Cariou ◽  
Dominique Feillet
Keyword(s):  
Design Problem ◽  
Service Design ◽  
Exact Algorithm ◽  
Liner Service

A practical exact algorithm for the shortest loop design problem in a block layout

2005 ◽  
Vol 43 (9) ◽  
pp. 1879-1887 ◽  
Author(s):  
R. Zanjirani Farahani ◽  
G. Laporte * ◽  
M. Sharifyazdi
Keyword(s):  
Design Problem ◽  
Exact Algorithm ◽  
Loop Design

Formulating a New Express Minibus Service Design Problem as a Clustering Problem

2015 ◽  
Vol 49 (1) ◽  
pp. 85-98 ◽  
Author(s):  
L. Miguel Martínez ◽  
José Manuel Viegas ◽  
Tomás Eiró
Keyword(s):  
Design Problem ◽  
Service Design ◽  
Clustering Problem

scholarly journals Robust Optimization Model for Bi-objective Emergency Medical Service Design Problem with Demand Uncertainty

2019 ◽  
Vol 20 (2) ◽  
pp. 95
Author(s):  
Diah Chaerani ◽  
Siti Rabiatul Adawiyah ◽  
Eman Lesmana
Keyword(s):  
Robust Optimization ◽  
Emergency Medical Service ◽  
Design Problem ◽  
Medical Service ◽  
Optimal Solution ◽  
Service Design ◽  
Mixed Integer ◽  
Worst Case ◽  
Robust Counterpart ◽  
Emergency Medical

Bi-objective Emergency Medical Service Design Problem is a problem to determining the location of the station Emergency Medical Service among all candidate station location, the determination of the number of emergency vehicles allocated to stations being built so as to serve medical demand. This problem is a multi-objective problem that has two objective functions that minimize cost and maximize service. In real case there is often uncertainty in the model such as the number of demand. To deal the uncertainty on the bi-objective emergency medical service problem is using Robust Optimization which gave optimal solution even in the worst case. Model Bi-objective Emergency Medical Service Design Problem is formulated using Mixed Integer Programming. In this research, Robust Optimization is formulated for Bi-objective Emergency Medical Service Design Problem through Robust Counterpart formulation by assuming uncertainty in demand is box uncertainty and ellipsoidal uncertainty set. We show that in the case of bi-objective optimization problem, the robust counterpart remains computationally tractable. The example is performed using Lexicographic Method and Branch and Bound Method to obtain optimal solution. 

A Freight Service Design Problem for a Railway Corridor

2011 ◽  
Vol 45 (2) ◽  
pp. 147-162 ◽  
Author(s):  
Alberto Caprara ◽  
Enrico Malaguti ◽  
Paolo Toth
Keyword(s):  
Design Problem ◽  
Service Design

An improved exact algorithm for a territory design problem with p-center-based dispersion minimization

2020 ◽  
Vol 146 ◽  
pp. 113150 ◽  
Author(s):  
M. Gabriela Sandoval ◽  
Juan A. Díaz ◽  
Roger Z. Ríos-Mercado
Keyword(s):  
Design Problem ◽  
Exact Algorithm ◽  
Territory Design

A new solution framework for the limited-stop bus service design problem

2017 ◽  
Vol 105 ◽  
pp. 67-85 ◽  
Author(s):  
Guillermo Soto ◽  
Homero Larrain ◽  
Juan Carlos Muñoz
Keyword(s):  
Design Problem ◽  
Service Design ◽  
Bus Service

Liner shipping single service design problem with arrival time service levels

2018 ◽  
Vol 31 (3) ◽  
pp. 620-652 ◽  
Author(s):  
Kevin Tierney ◽  
Jan Fabian Ehmke ◽  
Ann Melissa Campbell ◽  
Daniel Müller
Keyword(s):  
Design Problem ◽  
Arrival Time ◽  
Service Design ◽  
Liner Shipping ◽  
Time Service ◽  
Service Levels
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