Development and analysis of a sustainable garbage disposal model for environmental management under uncertainty.

Environmental management is one of the most challenging tasks due to growing population and urbanization. Quadratic programming (QP) in operations research happens to be well equipped to deal with such issues. The present study develops and analyzes a generalized concave QP optimization model having interval parameters with an aim to handle garbage disposal model having a sustainable futuristic vision. Moreover, the model does away with the fundamental requirement of segregated waste at the source itself. The proposed algorithm finds the infimum and supremum of the objective function by first splitting it into two bi-level submodels. Both of the submodels are then investigated subject to the interval parameters in the objective function as well as in the constraints. The solution methodology of the proposed algorithm is explained with the help of a numerical example dealing with concave optimization followed by its application to environmental management. The comparison through figures with the existing models establishes its ecological and economical sustainability through prospective expansion.