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Solving a multi-objective simulation model using a hybrid response surface method and lexicographical goal programming approach—a case study on integrated circuit ink-marking machines
8 references·0 citing·30 second hop
Solving a multi-objective simulation model using a hybrid response surface method and lexicographical goal programming approach—a case study on integrated circuit ink-marking machines (2002)Solving a multi-objective simulation mode…A comparison of factorial and random experimental design methods for the development of regression and neural network simulation metamodels (1999)A comparison of factorial and…Metamodels in manufacturing: a review (1994)Metamodels in manufacturing: …A methodology for solvng multi-objective simulation-optimization problems (1994)A methodology for solvng mult…Output maximization of a CIM system: simulation and statistical approach (1993)Output maximization of a CIM …Experimental design and regression analysis in simulation: An FMS case study (1988)Experimental design and regre…Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Solving Multiple Response Simulation Models Using Modified Response Surface Methodology Within A Lexicographic Goal Programming Framework (1985)Solving Multiple Response Sim…A Goal Programming Approach to the Optimization of Multi response Simulation Models (1982)A Goal Programming Approach t…Multiple Criteria Decision Making (1983)Simulation Modeling and Analysis. (1983)Simulation modeling and analysis (1999)A simulation optimization method that considers uncertainty and multiple performance measures (2006)Optimization of systems with multiple performance measures via simulation: Survey and recommendations (2007)A simulation metamodelling based neural networks for lot-sizing problem in MTO sector (2011)Introduction to simulation and SLAM II (1979)Detecting Initialization Bias in Simulation Output (1982)Design and Analysis of Experiments (1992)An analytic-hierarchy-process based simulation model for implementation and analysis of computer-aided systems (2002)Small response surface designs for metamodel estimation (2002)On the Experimental Attainment of Optimum Conditions (1951)Multicriteria optimization of simulation models (1991)On the Experimental Attainment of Optimum Conditions (1992)Response Surface Methodology (1996)Statistics for Experimenters (1979)Response Surfaces: Designs and Analyses (1997)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data (2014)Computer simulation in management science (1984)Statistical tools for simulation practitioners (1990)A neuro-computational intelligence analysis of the global consumer software piracy rates (2011)The construction and implementation of metamodels (1975)The Purpose of Mathematical Programming is Insight, Not Numbers (1976)An example of simulation optimisation using a neural network metamodel: finding the optimum number of kanbans in a manufacturing system (1997)Computer simulation of a PCB production line: metamodeling approach (2000)Simulation metamodel development using uniform design and neural networks for automated material handling systems in semiconductor wafer fabrication (2007)Statistical tools for simulation practitioners (1987)Simulation in manufacturing: A regression metamodel approach (1990)Multiple response surface methods in computer simulation (1977)
this work references cited by second hop

References

  • 1988Empirical Model Building and Response Surfaces5,235 cited
  • 1988Experimental design and regression analysis in simulation: An FMS case study88 cited
  • 1994Metamodels in manufacturing: a review72 cited
  • 1982A Goal Programming Approach to the Optimization of Multi response Simulation Models60 cited
  • 1993Output maximization of a CIM system: simulation and statistical approach44 cited
  • 1985Solving Multiple Response Simulation Models Using Modified Response Surface Methodology Within A Lexicographic Goal Programming Framework44 cited
  • 1999A comparison of factorial and random experimental design methods for the development of regression and neural network simulation metamodels41 cited
  • 1994A methodology for solvng multi-objective simulation-optimization problems38 cited

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