Weighted Max-Min Model for Fuzzy Multi-objective Biomass Power Plants Location Optimization Problem

Renewable energy significantly reduces a nation’s reliance on fossil fuels, enhances energy security, and promotes sustainable development, among other positive impacts. The strategic selection of facility locations is the most important part of designing a supply chain network. To develop a sustainable supply chain, we propose a multi-objective mixed integer programming approach that optimises the location of biomass plants while simultaneously considering total costs and environmental considerations. Recognising the uncertainty and varying importance of objectives, we formulate a weighted max-min fuzzy model to handle vague input data and diverse objective weights. The proposed framework is illustrated by employing a practical dataset from a province in the South of Vietnam, a supply chain network comprising 11 suppliers and 6 potential biomass power plant locations. The analysis incorporates two categories of biomass power plants and two kinds of trucks. By implementing our model, decision-makers gain the ability to optimise facility locations and effectively manage supply chain performance.