Developing a decision support system to provide environmentally and economically optimized scenarios for waste management: a case study application

Identiying the most optimal solution has long been an significant challenge for waste management decision-makers. This study aims to develop a decision support system to identify optimal environmental and economic scenarios for waste management.

This study presents the development and application of a decision support system that estimates the environmental burden and cost of waste using Life Cycle Assessment (LCA) and Life Cycle Cost (LCC) tools. The system then identifies optimal environmental and economic scenarios for waste management through a linear programming model. Data from the Karaj waste management system were utilized to apply and validate the decision support system.

The outputs of the linear programming model in this system included one scenario based on minimizing environmental impacts and two scenarios based on minimizing costs imposed on the Karaj waste management system (MSWS). In both the environmental and second economic scenarios, incineration contributed the most to waste management, whereas composting was the dominant method in the first economic scenario. Additionally, recycling the maximum possible amount of recyclable materials was a common feature in all three scenarios, due to its environmental and economic benefits.

The result of this study demonstrate that the current Decision Support System can provide optimal environmental and economic scenarios for waste management to the decision-makers in the field. This is achieved by considering the inherent differences in the types of waste produced, the technologies employed, and the processing costs associated with each waste management system.