Search Results - subject:"simulation optimization"

A new age-based replenishment policy for supply chain inventory optimization of highly perishable products

Duan, Qinglin; Liao, T. Warren - In: International journal of production economics 145 (2013) 2, pp. 658-671

Persistent link: https://www.econbiz.de/10010187888

Automated Response Surface Methodology for Stochastic Optimization Models with Unknown Variance

Nicolai, Robin P.; Dekker, Rommert - 2005

Response Surface Methodology (RSM) is a tool that was introduced in the early 50's by Box and Wilson (1951). It is a collection of mathematical and statistical techniques useful for the approximation and optimization of stochastic models. Applications of RSM can be found in e.g. chemical,...

Persistent link: https://www.econbiz.de/10010325402

Automated Response Surface Methodology for Stochastic Optimization Models with Unknown Variance

Nicolai, R.P.; Dekker, Rommert - Faculteit der Economische Wetenschappen, Erasmus … - 2005

Response Surface Methodology (RSM) is a tool that was introduced in the early 50´s by Box and Wilson (1951). It is a collection of mathematical and statistical techniques useful for the approximation and optimization of stochastic models. Applications of RSM can be found in e.g. chemical,...

Persistent link: https://www.econbiz.de/10010837936

Automated Response Surface Methodology for Stochastic Optimization Models with Unknown Variance

Nicolai, R.P.; Dekker, R. - Erasmus University Rotterdam, Econometric Institute - 2005

Response Surface Methodology (RSM) is a tool that was introduced in the early 50Â´s by Box and Wilson (1951). It is a collection of mathematical and statistical techniques useful for the approximation and optimization of stochastic models. Applications of RSM can be found in e.g. chemical,...

Persistent link: https://www.econbiz.de/10004991141

Automated Response Surface Methodology for Stochastic Optimization Models with Unknown Variance

Nicolai, Robin P.; Dekker, Rommert - Tinbergen Institute - 2005

Persistent link: https://www.econbiz.de/10005137125

Automated Response Surface Methodology for Stochastic Optimization Models with Unknown Variance

Nicolai, Robin P.; Dekker, Rommert - Tinbergen Instituut - 2005

Persistent link: https://www.econbiz.de/10011255949

Automated response surface methodology for stochastic optimization models with unknown variance

Nicolai, Robin P.; Dekker, Rommert - 2005

Persistent link: https://www.econbiz.de/10011343271

Simulation optimization of PSA-threshold based prostate cancer screening policies

Underwood, Daniel; Zhang, Jingyu; Denton, Brian; Shah, Nilay - In: Health Care Management Science 15 (2012) 4, pp. 293-309

We describe a simulation optimization method to design PSA screening policies based on expected quality adjusted life …

Persistent link: https://www.econbiz.de/10010865044

Retrospective optimization of mixed-integer stochastic systems using dynamic simplex linear interpolation

Wang, Honggang - In: European Journal of Operational Research 217 (2012) 1, pp. 141-148

We propose a family of retrospective optimization (RO) algorithms for optimizing stochastic systems with both integer and continuous decision variables. The algorithms are continuous search procedures embedded in a RO framework using dynamic simplex interpolation (RODSI). By decreasing...

Persistent link: https://www.econbiz.de/10011052755

Multi-reservoir Operation Rules: Multi-swarm PSO-based Optimization Approach

Ostadrahimi, Leila; Mariño, Miguel; Afshar, Abbas - In: Water Resources Management 26 (2012) 2, pp. 407-427

parameterization–simulation–optimization (parameterization SO) approach. To improve the performance of the standard particle swarm … rule are estimated by employing a parameterization–simulation–optimization approach, in which a full-scale simulation model …

Persistent link: https://www.econbiz.de/10010997795