David Canca
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Single-line rail rapid transit timetabling under dynamic passenger demand
E Barrena, D Canca, LC Coelho, G Laporte
Transportation Research Part B: Methodological 70, 134-150, 2014
1472014
Exact formulations and algorithm for the train timetabling problem with dynamic demand
E Barrena, D Canca, LC Coelho, G Laporte
Computers & Operations Research 44, 66-74, 2014
1282014
Coordinated scheduling of production and delivery from multiple plants
JM Garcia, S Lozano, D Canca
Robotics and Computer-Integrated Manufacturing 20 (3), 191-198, 2004
1002004
Application of centralised DEA approach to capital budgeting in Spanish ports
S Lozano, G Villa, D Canca
Computers & Industrial Engineering 60 (3), 455-465, 2011
942011
Design and analysis of demand‐adapted railway timetables
D Canca, E Barrena, E Algaba, A Zarzo
Journal of Advanced Transportation 48 (2), 119-137, 2014
812014
Manufacturing cell formation using a new self-organizing neural network
F Guerrero, S Lozano, KA Smith, D Canca, T Kwok
Computers & Industrial Engineering 42 (2-4), 377-382, 2002
732002
An adaptive neighborhood search metaheuristic for the integrated railway rapid transit network design and line planning problem
D Canca, A De-Los-Santos, G Laporte, JA Mesa
Computers & Operations Research 78, 1-14, 2017
632017
A short-turning policy for the management of demand disruptions in rapid transit systems
D Canca, E Barrena, G Laporte, FA Ortega
Annals of Operations Research 246 (1), 145-166, 2016
462016
A methodology for facilitating reconfiguration in manufacturing: the move towards reconfigurable manufacturing systems
R Galan, J Racero, I Eguia, D Canca
The International Journal of Advanced Manufacturing Technology 33 (3-4), 345-353, 2007
432007
Machine grouping using sequence-based similarity coefficients and neural networks
S Lozano, D Canca, F Guerrero, JM Garcı́a
Robotics and Computer-Integrated Manufacturing 17 (5), 399-404, 2001
392001
Doubly dynamics for multi-modal networks with park-and-ride and adaptive pricing
W Liu, N Geroliminis
Transportation Research Part B: Methodological 102, 162-179, 2017
352017
A general rapid network design, line planning and fleet investment integrated model
D Canca, A De-Los-Santos, G Laporte, JA Mesa
Annals of Operations Research 246 (1), 127-144, 2016
352016
Design of energy-efficient timetables in two-way railway rapid transit lines
D Canca, A Zarzo
Transportation Research Part B: Methodological 102, 142-161, 2017
342017
Setting lines frequency and capacity in dense railway rapid transit networks with simultaneous passenger assignment
D Canca, E Barrena, A De-Los-Santos, JL Andrade-Pineda
Transportation Research Part B: Methodological 93, 251-267, 2016
312016
Integrated railway rapid transit network design and line planning problem with maximum profit
D Canca, A De-Los-Santos, G Laporte, JA Mesa
Transportation Research Part E: Logistics and Transportation Review 127, 1-30, 2019
302019
Deformability properties of timolol-loaded transfersomes based on the extrusion mechanism. Statistical optimization of the process
ML González-Rodríguez, CM Arroyo, MJ Cózar-Bernal, PL González-R, ...
Drug development and industrial pharmacy 42 (10), 1683-1694, 2016
282016
Optimal train reallocation strategies under service disruptions
D Canca, E Barrena, A Zarzo, F Ortega, E Algaba
Procedia-Social and Behavioral Sciences 54, 402-413, 2012
282012
The integrated rolling stock circulation and depot location problem in railway rapid transit systems
D Canca, E Barrena
Transportation Research Part E: Logistics and Transportation Review 109, 115-138, 2018
272018
Integrated management of inventory and production systems based on floating decoupling point and real-time information: A simulation based analysis
M Calle, PL González-R, JM Leon, H Pierreval, D Canca
International Journal of Production Economics 181, 48-57, 2016
272016
Truck-drone team logistics: A heuristic approach to multi-drop route planning
PL Gonzalez-R, D Canca, JL Andrade-Pineda, M Calle, JM Leon-Blanco
Transportation Research Part C: Emerging Technologies 114, 657-680, 2020
252020
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