Sustainable Supply Chain Design for Organic Waste Management

Abstract

Organic solid waste management is a critical task and has significant impact on the sustainable development policies of a country. Organic solid waste management may be considered as an emerging sector contributing to renewable energy by aiming to reduce the dumpsite and landfill waste and convert the waste to value-added products such as power and energy. The MCDA tools, such as the analytical hierarchy process (AHP) and weighted goal programming (WGP), can assess the current strategies and efforts by providing mathematical justifications and reasoning for future strategic planning toward achieving long term sustainable development goals. In this thesis we develop a AHP-WGP model that can aid decision makers (DM)s and policy planning for achieving long term sustainable development goals applied to the United Arab Emirates. The AHP-WGP model studies the economic criteria as the total cost, transportation cost, revenue and value added, environmental criteria as GHG emission and dumpsite and landfill wastes to assess the sustainable goals of Emirates of Abu Dhabi in year 2030. Further, we develop a Mixed-integer linear programming (MILP) for optimizing network design for Waste to Energy (WtE) plant supply chain by finding the optimal procurement and storage cost with the needed quantities of organic solid waste (feedstock) to meet the energy demand.

Date of Award	May 2020
Original language	American English