LOCATION ANALYSIS FOR PRIMARY HEALTHCARE CENTERS IN DOHA CITY USING OPTIMIZATION MODELS WITH SUSTAINABILITY PERSPECTIVE

Abstract

This thesis employs Mixed Integer Linear Programming (MILP) techniques to optimize the location of healthcare centers with a focus on environmental and social sustainability. The MILP models developed aim to minimize the weighted traveled distance, CO2 emissions from public transport, and patient no-show percentage while maximizing fairness in healthcare service distribution. Through computational experiments and validation against primary healthcare facilities in Qatar, the models recommend opening a minimum of six new centers and allocating patients accordingly. Additionally, a phased plan model is proposed to control budget constraints and resource allocation during implementation. Future research can explore further enhancements to the MILP models by incorporating additional factors influencing location decisions and leveraging advanced optimization techniques. This approach contributes to enhancing healthcare accessibility while addressing environmental and social sustainability concerns.