Chiao-Yu ChenI-HSUAN HONGYue-Hong Li2025-01-212025-01-2120249783031744846978303174485321954356https://www.scopus.com/record/display.uri?eid=2-s2.0-85213391524&origin=resultslisthttps://scholars.lib.ntu.edu.tw/handle/123456789/724956The paper introduces an innovative approach to address the challenge of determining process parameter settings to achieve desired goals. We propose a mathematical programming approach that integrates a multi-objective formulation with decision tree models. These decision tree models predict different targets, and the mathematical model combines their outputs with other process requirements. A case study demonstrates the effectiveness of our model and compares its performance to a method based on a multi-objective decision tree. The results reveal that our method, employing multiple single-objective decision trees, outperforms the conventional approach utilizing a single multi-objective decision tree. The suggested outcomes provide the most suitable parameter ranges based on their target preferences.falseDecision treeMulti-objective decision treeProcess parameter[SDGs]SDG16conference paper10.1007/978-3-031-74485-3_522-s2.0-85213391524