A hybrid multi-objective decision model for emergency shelter location-relocation projects using fuzzy analytic hierarchy process and goal programming approach

This paper presents a hybrid algorithm for efficiently managing location and relocation projects by proposing a hybrid multi-objective decision model based on analytic hierarchy process (AHP), fuzzy set theory and goal programming approach. The objectives of proposition are to minimise distance, risk, number of sites and uncovered demand and simultaneously maximise suitability based on qualitative factors while taking into consideration demand, capacity, utilisation and budgetary constraints. Since the problem is of multi-objective decision making, we solve it by converting all objectives into a single objective function using goal programming approach. Project managers can benefit from collective expertise of multiple decision makers as proposed model leverages their knowledge into automating shelter site selection and relocation process. The model attempts to achieve a compromise solution to multiple objectives in disaster recovery projects involving shelter location decisions. The results are validated by considering two real case studies of Nepal earthquake.