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Performance Assessment Model for Municipal Solid Waste Management Systems: Development and Implementation

1
Project Management Department, Municipality of Unayzah, Unayzah, Qassim 56219, Saudi Arabia
2
Civil Engineering Department, College of Engineering, Qassim University, Buraydah, Qassim 52571, Saudi Arabia
3
School of Engineering, University of British Columbia (Okanagan), Kelowna, BC V1V 1V7, Canada
*
Author to whom correspondence should be addressed.
Environments 2019, 6(2), 19; https://doi.org/10.3390/environments6020019
Received: 8 January 2019 / Revised: 2 February 2019 / Accepted: 5 February 2019 / Published: 10 February 2019
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Abstract

Most of the municipalities in the Gulf region are facing performance-related issues in their municipal solid waste management (MSWM) systems. They lack a deliberate inter-municipality benchmarking processes. Instead of identifying the performance gaps for their key components (e.g., personnel productivity, operational reliability, etc.) and adopt proactive measures, the municipalities primarily rely on an efficient emergency response. A novel hierarchical modeling framework, based on deductive reasoning, is developed for the performance assessment of MSWM systems. Fuzzy rule-based modeling using Simulink-MATLAB was used for performance inferencing at different levels, i.e., component, sub-components, etc. The model is capable of handling the inherent uncertainties due to limited data and an imprecise knowledge base. The model’s outcomes can exclusively assist the managers working at different levels of organizational hierarchy for effective decision-making. Performance of the key components assists the senior management in assessing the overall compliance level of performance objectives. Subsequently, operations management can home in the sub-components to acquire useful information for intra-municipality performance management. Meanwhile, individual indicators are useful for inter-municipality benchmarking. The model has been implemented on two municipalities operating in Qassim Region, Saudi Arabia. The results demonstrate the model’s pragmatism for continuous performance improvement of MSWM systems in the country and elsewhere. View Full-Text
Keywords: solid waste management; performance assessment; fuzzy rule-based modeling; performance indicators; Simulink MATLAB solid waste management; performance assessment; fuzzy rule-based modeling; performance indicators; Simulink MATLAB
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Abdulaziz AlHumid, H.; Haider, H.; S. AlSaleem, S.; Alinizzi, M.; Shafiquzaman, M.; Sadiq, R. Performance Assessment Model for Municipal Solid Waste Management Systems: Development and Implementation. Environments 2019, 6, 19.

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