Advancing sustainable material handling in construction warehouses using Web 4.0 technologies through disc intuitionistic CRADIS-based decision analytics

The construction sector is responsible for over a third of global energy consumption and greenhouse gas emissions. Despite its powerful economic performance, the construction industry confronts numerous challenges. The use of Web 4.0 technologies in construction material handling has become a way of solving safety issues and increasing the efficiency of operations. Nevertheless, due to several competing requirements, strong levels of uncertainty, and overall fuzziness in the choice and application of these technologies, sophisticated multi-criteria decision-making techniques are required. This paper suggests a new approach to decision-making that combines the compromise ranking of alternatives form distance to ideal solution (CRADIS) approach with disc intuitionistic fuzzy sets. The introduced decision analytics provides additional flexibility and accuracy when assessing Web 4.0 adoption in material handling. This study is original in that the CRADIS method has never been applied in disc intuitionistic fuzzy settings so far, filling a vacuum spot in the management of decision uncertainty. The actual application is done on a real-world-aspiring dataset. The results indicate that the model can be effectively applied to provide steady and trusted rankings and can therefore provide a flavor to the builders and researchers who intend to foster sustainable use of materials in construction houses through the warehouse. This study establishes a framework for estimating motivations for Web 4.0 technology implementation in building material handling. It highlights the identification as well as evaluation of potential advantages and weaknesses of various advanced technological solutions, while providing a comprehensive analysis of their long-term implications.