A decision support tool for intelligent manufacturing systems via an elevator kinematic optimisation based method
作者：
Highlights：
• CM-RSOM merges robust designs and analyses for product and process improvements.
• Interactive approach can be used to satisfy the decision maker’s preferences.
• EKO generates flexi-design plans to prevent designing new Taguchi arrays.
• EKO provides various parameter estimations for the prediction model.
• An industrial example demonstrates the utility of the proposed approach.
摘要
•CM-RSOM merges robust designs and analyses for product and process improvements.•Interactive approach can be used to satisfy the decision maker’s preferences.•EKO generates flexi-design plans to prevent designing new Taguchi arrays.•EKO provides various parameter estimations for the prediction model.•An industrial example demonstrates the utility of the proposed approach.
论文关键词：Compromise multi response surface optimisation,Taguchi method,Elevator kinematic optimisation,Resistance welding
论文评审过程：Received 28 August 2020, Revised 11 March 2022, Accepted 9 May 2022, Available online 13 May 2022, Version of Record 16 May 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117576
