Costa, NunoLourenço, João2023-09-202023-09-202023-01-09978-1-4503-9852-7PURE: 72006097PURE UUID: 47d5ce86-4234-4a30-8cce-f3b50084a93bScopus: 85162877934http://hdl.handle.net/10362/158062Publisher Copyright: © 2023 ACM.Game Theory has not been explored so far in multi-objective optimization problems developed in the Response Surface Methodology framework, though optimization of multiple characteristics of process and product is a usual problem faced by practitioners in (non)manufacturing environments. In this paper the Stackelberg's technique complemented with a Factors Scaling tool is proposed for finding equilibrium solutions to this type of problem. No subjective information (shape factors, weights and/or other preference information) is required from the practitioners to use this approach, and basic computational background is enough for implementing it. Two case studies provide evidence of the proposed approach ability to achieve nondominated solutions, which validates its usefulness for practitioners who are involved in the multi-response optimization of process and product.6708376engBi-objectiveFactors ScalingMulti-responseOptimalParetoRobustRSMStackelbergHuman-Computer InteractionComputer Networks and CommunicationsComputer Vision and Pattern RecognitionSoftwareconference object10.1145/3587889.3587965https://www.scopus.com/pages/publications/85162877934