https://www.syncsci.com/journal/RIMA <p><em><strong>Research on Intelligent Manufacturing and Assembly</strong></em> (RIMA) (eISSN: 2972-3329) is an international, peer-reviewed, open access journal dedicated to the latest advancements in intelligent manufacturing and assembly. RIMA serves as a critical bridge between cutting-edge research and practical applications, fostering collaboration between the academic community and industry practitioners. The journal aims to publish high-impact research that pushes the boundaries of knowledge in the design, analysis, manufacturing, and operation of intelligent systems and equipment. RIMA focuses on innovative technologies and methodologies that are transforming the manufacturing landscape, driving efficiency, precision, and sustainability in industrial processes. By publishing rigorous research and fostering a vibrant community of scholars and practitioners, RIMA aims to be the go-to resource for advancing the state-of-the-art in intelligent manufacturing and assembly.</p> <p>Topics of interest include, but are not limited to the following: <br>• Digital design and manufacturing <br>• Theories, methods, and systems for intelligent design <br>• Advanced processing techniques <br>• Modelling, control, optimization, and scheduling of systems <br>• Manufacturing system simulation and digital twin technology <br>• Industrial control systems and the industrial Internet of Things (IIoT) <br>• Safety and reliability assessment <br>• Robotics and automation <br>• Artificial intelligence and machine learning in manufacturing <br>• Supply chain optimization and management <br>• Additive manufacturing and materials science <br>• Cybersecurity and data privacy in manufacturing <br>• Sustainability and circular economy in manufacturing <br>• Bio-fabrication and other advanced manufacturing methods <br>• Digital Workforce and Automation <br>• <em>etc. </em></p> SyncSci Publishing Pte Ltd, Singapore en-US Research on Intelligent Manufacturing and Assembly 2972-3329 <p>Authors contributing to&nbsp;<em>Research on Intelligent Manufacturing and Assembly</em>&nbsp;agree to publish their articles under the&nbsp;<a href="http://creativecommons.org/licenses/by-nc/4.0">Creative Commons Attribution-Noncommercial 4.0 International License</a>, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear.</p> https://www.syncsci.com/journal/RIMA/article/view/RIMA.2025.01.001 <p>In the present article, a fuzzification measure of robust design in condition of "desired target being best" is regulated, which consists of the "complement" of the membership value of objective response and PMOO. The mean value of "complement" of the membership value of a set of test data of objective response belonging to its desired target value in fuzzification is taken as an indicator to join the assessment of the 1^st part of partial preferable probability of the objective; the dispersion of a set of test data in term of membership with regard to the desired target value is taken as the other indicator to participate the assessment of the 2^nd part of partial preferable probability of the objective. Moreover, the fuzzification measure of robust design is regulated in term of PMOO. As utilizations, two instances are presented to illuminate the regulation in design.</p> Maosheng Zheng Jie Yu Copyright (c) 2025 Maosheng Zheng, Jie Yu https://creativecommons.org/licenses/by-nc/4.0 2025-02-28 2025-02-28 4 1 138 143 10.25082/RIMA.2025.01.001