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Krystel Castillo-Villar
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A review of methodological approaches for the design and optimization of wind farms
JF Herbert-Acero, O Probst, PE Réthoré, GC Larsen, KK Castillo-Villar
Energies 7 (11), 6930-7016, 2014
2782014
A model for supply chain design considering the cost of quality
KK Castillo-Villar, NR Smith, JL Simonton
Applied Mathematical Modelling 36 (12), 5920-5935, 2012
972012
Integrating biomass quality variability in stochastic supply chain modeling and optimization for large-scale biofuel production
KK Castillo-Villar, S Eksioglu, M Taherkhorsandi
Journal of cleaner production 149, 904-918, 2017
722017
Metaheuristic algorithms applied to bioenergy supply chain problems: theory, review, challenges, and future
KK Castillo-Villar
Energies 7 (11), 7640-7672, 2014
512014
Adaptive robust PID control subject to supervisory decoupled sliding mode control based upon genetic algorithm optimization
MJ Mahmoodabadi, M Taherkhorsandi, M Talebipour, KK Castillo-Villar
Transactions of the Institute of Measurement and Control 37 (4), 505-514, 2015
492015
The impact of the cost of quality on serial supply‐chain network design
KK Castillo-Villar, NR Smith, JL Simonton
International Journal of Production Research 50 (19), 5544-5566, 2012
492012
Pareto design of an adaptive robust hybrid of PID and sliding control for a biped robot via genetic algorithm optimization
M Taherkhorsandi, MJ Mahmoodabadi, M Talebipour, KK Castillo-Villar
Nonlinear dynamics 79, 251-263, 2015
462015
A two-stage stochastic programming model for biofuel supply chain network design with biomass quality implications
F Nur, M Aboytes-Ojeda, KK Castillo-Villar, M Marufuzzaman
IISE transactions 53 (8), 845-868, 2021
442021
Simulation-based multi-objective model for supply chains with disruptions in transportation
H Chávez, KK Castillo-Villar, L Herrera, A Bustos
Robotics and Computer-Integrated Manufacturing 43, 39-49, 2017
442017
Design of an enhanced multi-aisle order-picking system considering storage assignments and routing heuristics
S Quader, KK Castillo-Villar
Robotics and Computer-Integrated Manufacturing 50, 13-29, 2018
422018
Joint determination of the lot size and number of shipments for a family of integrated vendor–buyer systems considering defective products
G Treviño-Garza, KK Castillo-Villar, LE Cárdenas-Barrón
International Journal of Systems Science 46 (9), 1705-1716, 2015
422015
Modeling and optimization of biomass quality variability for decision support systems in biomass supply chains
M Aboytes-Ojeda, KK Castillo-Villar, SD Eksioglu
Annals of Operations Research 314 (2), 319-346, 2022
372022
A two-stage stochastic model for co-firing biomass supply chain networks
M Aranguren, KK Castillo-Villar, M Aboytes-Ojeda
Journal of Cleaner Production 319, 128582, 2021
302021
A hybrid global optimization algorithm: particle swarm optimization in association with a genetic algorithm
M Andalib Sahnehsaraei, MJ Mahmoodabadi, M Taherkhorsandi, ...
Complex System Modelling and Control Through Intelligent Soft Computations …, 2015
302015
A decomposition approach based on meta-heuristics and exact methods for solving a two-stage stochastic biofuel hub-and-spoke network problem
M Aboytes-Ojeda, KK Castillo-Villar, MS Roni
Journal of Cleaner Production 247, 119176, 2020
272020
Quantifying the impact of feedstock quality on the design of bioenergy supply chain networks
KK Castillo-Villar, H Minor-Popocatl, E Webb
Energies 9 (3), 203, 2016
262016
Design and optimization of capacitated supply chain networks including quality measures
KK Castillo-Villar, NR Smith, JF Herbert-Acero
Mathematical Problems in Engineering 2014 (1), 218913, 2014
262014
A heuristic procedure for a ship routing and scheduling problem with variable speed and discretized time windows
KK Castillo-Villar, RG González-Ramírez, P Miranda González, NR Smith
Mathematical Problems in Engineering 2014 (1), 750232, 2014
242014
Bi-objective stochastic model for the design of biofuel supply chains incorporating risk
M Aboytes-Ojeda, KK Castillo-Villar, Y Cardona-Valdés
Expert Systems with Applications 202, 117285, 2022
202022
Machine-learning methods to select potential depot locations for the supply chain of biomass co-firing
D Goettsch, KK Castillo-Villar, M Aranguren
Energies 13 (24), 6554, 2020
192020
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