9th International Conference on ICT for Sustainable Development

Authors - P M Vishnu, Drisya Murali, Suresh M
Abstract - The research paper investigates the diverse aspects affecting the data-driven and material twin approach to achieve sustainable interior and building finish optimization. Through an extensive review of existing literature and insights gleaned from experts in the field, the study aims not only to identify but also to comprehensively analyze the critical factors that influence the process of material twin the materials that need to be replaced from the database based on their parameters. The research uses Grey Influence Analysis (GINA) to reveal and quantify the complex connections among these identified factors. This methodology offers a detailed understanding of how these factors interplay and impact one another within the context of bringing material twin of interiors to make it sustainable and optimized from the database on components used for building finish. The primary goals include pinpointing the most impactful factors and evaluating their strengths in shaping the study. Employing GINA enables the study to precisely identify the primary factor steering the system and gauge its level of influence. The outcomes of this research hold substantial significance for policymakers, industry practitioners, and stakeholders by providing crucial insights to enhance sustainable practices within the building finish. Ultimately, this contributes towards establishing a more efficient and seamless use of sustainable interiors with more efficiency.