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Reliable communication network design : the hybridisation of metaheuristics with the branch and bound method
Ozkan, Omer; Ermis, Murat; Bekmezci, Ilker - In: Journal of the Operational Research Society 71 (2020) 5, pp. 784-799
Persistent link: https://www.econbiz.de/10012216779
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Reducing surgical ward congestion through improved surgical scheduling and uncapacitated simulation
Chow, Vincent S.; Puterman, Martin L.; Salehirad, Neda; … - In: Production and operations management : an international … 20 (2011) 3, pp. 418-430
Persistent link: https://www.econbiz.de/10009160859
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Factor screening for simulation with multiple responses : sequential bifurcation
Shi, Wen; Kleijnen, Jack P. C.; Liu, Zhixue - In: European journal of operational research : EJOR 237 (2014) 1, pp. 136-147
Persistent link: https://www.econbiz.de/10010378641
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Factor screening for simulation with multiple responses : sequential bifurcation
Shi, Wen; Kleijnen, Jack P. C.; Liu, Zhixue - 2012
Persistent link: https://www.econbiz.de/10009522472
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Sensitivity analysis in Monte Carlo Simulation of stochastic activity networks
Fu, Michael - In: Perspectives in operations research : papers in honor …, (pp. 351-366). 2006
Persistent link: https://www.econbiz.de/10003674859
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Fixing match-fixing : optimal schedules to promote competitiveness
Chater, Mario; Arrondel, Luc; Gayant, Jean-Pascal; … - In: European journal of operational research : EJOR 294 (2021) 2, pp. 673-683
Persistent link: https://www.econbiz.de/10012595894
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Monte Carlo Algorithms for Default Timing Problems
Giesecke, Kay - 2012
Dynamic, intensity based point process models are widely used to measure and price the correlated default risk in portfolios of credit-sensitive assets such as loans and corporate bonds. Monte Carlo simulation is an important tool to perform computations in these models. This paper develops,...
Persistent link: https://www.econbiz.de/10013115699
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A stochastic simulation-based holistic evaluation approach with DEA for vendor selection
Park, SeJoon; Ok, Changsoo; Ha, Chunghun - In: Computers & operations research : and their … 100 (2018), pp. 368-378
Persistent link: https://www.econbiz.de/10011930650
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The expected loss in the discretization of multistage stochastic programming problems : estimation and convergence rate
Šmíd, Martin - 2009
Persistent link: https://www.econbiz.de/10003811659
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Conditional Monte Carlo estimation of quantile sensitivities
Fu, Michael; Hong, L. Jeff; Hu, Jian-Qiang - In: Management science : journal of the Institute for … 55 (2009) 12, pp. 2019-2027
Persistent link: https://www.econbiz.de/10003928512