Using a decision-making tool to select the optimal industrial housing construction system in Tehran

Industrial dwelling construction (IDC) combines offsite and onsite construction methods. The current work proposes a multiple-criteria decision-making assistant system (DMAS) approach for evaluating home buildings, selecting decision agents, and determining acceptable IDC types and characteristics for large-scale housing enhancement. Using the analytical hierarchy process (AHP), a multicriteria DMAS was planned. Literature reviews and expert interviews were used to assess thirty decision agents. To validate the procedure, five IDCs were analyzed as case studies. Thirty professionals analyzed decision agents' and housing systems' priority vectors using questionnaires. Three decision agents were identified: (1) user needs, (2) the building industry, and (3) the supply chain. Consequently, Prefabricated Reinforced Concrete Slab, Beam, and Column Blocks (PRCSBCB) and Light Steel Frame Wall Panels (LSFWP) can be used to construct suitable dwellings. These construction options are low-cost, lightweight, and easy to install. They also use inexperienced local workers. Results showed the method's potential and usefulness with so many choices and decision agents. This research examines knowledge and skill gaps in Iran's IDC and encounters a shortage of IDC specialists and mass-construction variants. The study identifies key decision-agents and housing options for quick, appropriate, and cost-efficient mass housing and helps professionals, entrepreneurs, and decision-makers make better decisions.

Automated summary

This study proposes a multiple-criteria decision-making assistant system (DMAS) approach for evaluating and selecting suitable IDC types and characteristics for large-scale housing enhancement. The method was validated through case studies and questionnaire analysis. The research highlights the potential and usefulness of the DMAS method in addressing the complexity of decision-making in IDC.