All Stories

  1. Desirability-based post-hoc selection of Pareto solutions
  2. Assessing the resilience of optimal solutions in multiobjective problems
  3. Process and Product Optimization Using Game Theory
  4. Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product
  5. Energy Efficiency Estimate in Complex and Large Equipments
  6. Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods
  7. Design of experiments – overcome hindrances and bad practices
  8. Worst-case Responses Estimate Impact on Pareto Front
  9. Reproducibility of nondominated solutions
  10. Responses’ Prediction Standard Error Analysis in Pareto Solutions
  11. Multiresponse problems: desirability and other optimization approaches
  12. Using a multiple response optimization approach to optimize the coefficient of performance
  13. Gaussian Process Model - An Exploratory Study in the Response Surface Methodology
  14. Applying design of experiments to a compression refrigeration cycle
  15. Simulation of real-life situations in multiresponse problems: a contribution to criteria evaluation in the RSM framework
  16. On the generation and selection of solutions to multiple response problems
  17. Exploring Pareto Frontiers in the Response Surface Methodology
  18. A comparative study of multiresponse optimization criteria working ability
  19. On the selection of significant variables from unreplicated factorial designs
  20. Responses modeling and optimization criteria impact on the optimization of multiple quality characteristics
  21. OPTIMIZATION OF THE MEAN AND STANDARD DEVIATION OF MULTIPLE RESPONSES
  22. Multiresponse Optimization and Pareto Frontiers
  23. Desirability function approach: A review and performance evaluation in adverse conditions
  24. Assessing Response’s Bias, Quality of Predictions, and Robustness in Multiresponse Problems
  25. Simultaneous Optimization of Mean and Standard Deviation
  26. Multiple response optimization: a global criterion‐based method
  27. Multiple response optimisation: methods and results
  28. Experimental design selection: guidelines for practitioners
  29. Computer experiments: application to the case of a recovery boiler
  30. Decision-Making in the Analysis of Unreplicated Factorial Designs
  31. Guidelines to help practitioners of design of experiments