Optimizing accessibility utilizing simulation-based framework for efficient resource allocation and scheduling for disability-friendly utilities

In contemporary building design and management, catering to the needs of individuals with disabilities presents a multifaceted challenge. Buildings tailored to accommodate individuals with disabilities, featuring accessibility features are integral in various contexts, which are essential to ensure equitable access and usability for individuals with disabilities. However, research in disability-friendly building construction and management has been relatively limited due to the diverse and evolving needs of demographic. Factors like designing efficient wheelchair routes, maintaining escalators and elevators, and managing hearing aid systems all impact a building's operation. This paper utilizes simulation modeling in optimizing buildings designed for individuals with disabilities which presents a paradigm shift in inclusive building design, resulting in substantial improvements in accessibility and efficiency. The model creates a network representation of the building, incorporating delays and queue systems to simulate people and resource flow, accounting for bottlenecks and constraints to determine the optimal resource allocation and operational timing for disability-friendly buildings. By assessing various scenarios and conducting optimization analyses, the model identifies the best combination of resources and schedules to minimize delays, enhance accessibility, and ensure the building functions optimally, meeting regulatory requirements and the needs of individuals with disabilities. Through the implementation of the model, Equipment and Machinery resources optimization significantly saves duration by 15.17 and 14.29%, respectively. Overall optimization results show a duration reduction from 1450 to 930 days, saving 35.86% and a productivity limits improvement varies between 30 and 36%. These gains translate into cost savings, reducing operational expenses and potentially speeding up return on investment.