This study reviews how Multi-Criteria Decision Making (MCDM) methods, like AHP, TOPSIS, and VIKOR, transform packaging and graphic media decision-making. These tools simplify complex choices by evaluating multiple criteria, aiding in tasks like material selection and design optimization. The findings highlight that MCDM improves decision-making efficiency, accuracy, and sustainability. It also emphasizes the potential of integrating these methods with AI and machine learning to unlock further innovation. The study calls for standardizing data practices and fostering global collaborations to drive progress. This research provides a practical guide to harnessing MCDM for smarter, sustainable industry practices.
Multi-Criteria Decision Making (MCDM) Packing and Graphic Media Sustainability Analytic Hierarchy Process (AHP) Design Optimization.
Primary Language | English |
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Subjects | Environmentally Sustainable Engineering |
Journal Section | Research Article |
Authors | |
Early Pub Date | June 17, 2025 |
Publication Date | |
Submission Date | December 5, 2024 |
Acceptance Date | April 11, 2025 |
Published in Issue | Year 2025Volume: 8 Issue: 2 |
The papers in this journal are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License