Growing Science » Tags cloud » Monte Carlo simulation
Authors: Thi Hien Pham, Tuan Anh Luong, Thi Hai An Pham, Nguyen Khanh Uyen Huynh
Keywords: Green Retrofitting, Procurement, Permitting, Risk Assessment, Model Relationship, Monte Carlo Simulation, Schedule Permormance
Journal: MSL | Year: 2025 | Volume: 15 | Issue: 2 | Views: 464 | Reviews: 0
Authors: Benedict Mario Gilbert Fernandes Sihaloho, Yusuf Latief, Bernadette Detty Kussumardianadewi
Keywords: Green Retrofitting, Procurement, Permitting, Risk Assessment, Model Relationship, Monte Carlo Simulation, Schedule Permormance
Journal: MSL | Year: 2025 | Volume: 15 | Issue: 2 | Views: 364 | Reviews: 0
Authors: Bogdan Rebiasz
DOI: 10.5267/j.dsl.2019.10.003
Keywords: Real options, Portfolio selection, Stochastic processes, Investment decision, Monte Carlo simulation
Journal: DSL | Year: 2020 | Volume: 9 | Issue: 2 | Views: 1003 | Reviews: 0
Authors: Anderson Edwin Antialon Macias, Deiby Luis Medina Corilloclla, Marcia Yesenia Jeremias Porras, Roy Monteagudo Venero, Jimmy Alberth Deza Quispe
Keywords: Monte Carlo simulation, Risk analysis, Sensitivity analysis, Education, Infrastructure
Journal: JPM | Year: 2022 | Volume: 7 | Issue: 3 | Views: 1011 | Reviews: 0
Authors: Nurul Raudhah Zulkifli, Nazim Aimran, Sayang Mohd Deni
DOI: 10.5267/j.ijdns.2023.6.004
Keywords: Monte Carlo simulation, Regularization, Unweighted least square, Regularized unweighted least square
Journal: IJDS | Year: 2023 | Volume: 7 | Issue: 3 | Views: 925 | Reviews: 0
Authors: Aida Nazari Gooran, Hamed Rafiei, Masoud Rabani
Keywords: Reverse logistic, Uncertainty, Risk, Conditional value at risk, Chance-constrained programming, Monte Carlo simulation, Genetic algorithms
Journal: DSL | Year: 2018 | Volume: 7 | Issue: 1 | Views: 2663 | Reviews: 0
Authors: V. Aarthipriya, G. Chitra, J. Sevvel Poomozhi
Keywords: Risk Management, Schedule and Cost Impacts, Monte Carlo Simulation, Sensitivity Analysis
Journal: JPM | Year: 2020 | Volume: 5 | Issue: 4 | Views: 3273 | Reviews: 0
Authors: Mayra Alejandra Cárdenas Duarte, Julián Alberto Rojas Cepeda, Eliana María González-Neira, David Barrera, Viviana Rojas Cortés, Gabriel Zambrano Rey
DOI: 10.5267/j.uscm.2017.4.002
Keywords: Stochastic scheduling, GRASP, Common random numbers, Monte Carlo simulation, Single machine
Journal: USCM | Year: 2017 | Volume: 5 | Issue: 4 | Views: 1694 | Reviews: 0
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