Failure Risk Model of Sustainable Solid Waste Management at The University in Indonesia using Dynamic System Approach

Background - One of the problems encountered by all universities in realizing a sustainable Green Campus is solid waste management due to its complex and dynamic nature, which is known to have the potential risks of failure. Aim – Application of a dynamic modeling approach with the FMEA and AHP methods to eliminate the risk associated with the inability of universities to process solid waste. Methods– Data on risk factors and alternative evaluation methods were collected from five experts from various fields. Results – The results of the risk assessment by experts show some of the highest risk values are associated with Technological Infrastructure, with a risk value of around 900, and the lowest risk is associated with Regulation collisions with a risk value of around 378. The results provided adequate information on the increased risk of each factor from 2019 to 2030 with verified moderate and optimistic conditions models comprising significant values of approximately 0.009 and 0.0273, respectively. This study assists higher education management in decreasing risk failure in the region by creating simulation models that will likely be utilized for scenario analysis in the future. The System Dynamic model's entire approach proved helpful in accomplishing long-term solid waste management in universities. Other dynamic insights that assisted universities improve their knowledge of solid waste management systems. Research limitations– Further study needs to be conducted in the dynamic model to obtain a more comprehensive and detailed result. This is because the developed model provided an overview that needs further improvement, especially concerning several quantitative data, towards obtaining the adequate method for sustainable solid waste management. Originality/value – This research used the hybrid method and AHP techniques to analyze solid waste in universities which were developed into a dynamic system model. However, further research is needed to enhance this hybrid method.