Robust Possibilistic Programming Approach for Design of Tehran Municipal Solid Waste Management System

Decision-making about the location of the Municipal Solid Waste (MSW) system’s facilities is one of the challenging issues in an urban area because of its considerable impacts on economy, ecology, and the environment. Also, since such strategic problems are tainted with great degree of uncertainty, this study proposes a bi-objective fuzzy mathematical programming model for design of a MSW management system by considering both economical and environmental aspects. A version of Robust Possibilistic Programming (RPP) approach i.e. RPP-II is used to handle the uncertain parameters of the problem. Applicability of the proposed model in practice is illustrated through the Tehran MSW system where determine the location and allocation of transfer stations as well as the appropriate waste compacting technology levels for these facilities.

کلیدواژه ها:

Municipal solid waste ، Robust possibilistic programming ، Location-allocation problem ، -constraint method