Performance Assessment Model for Municipal Solid Waste Management Systems: Development and Implementation
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 produc...
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doaj-ff25ec45e07b4deb890beffb8cd0484d2020-11-24T21:40:41ZengMDPI AGEnvironments2076-32982019-02-01621910.3390/environments6020019environments6020019Performance Assessment Model for Municipal Solid Waste Management Systems: Development and ImplementationHatem Abdulaziz AlHumid0Husnain Haider1Saleem S. AlSaleem2Majed Alinizzi3Md. Shafiquzaman4Rehan Sadiq5Project Management Department, Municipality of Unayzah, Unayzah, Qassim 56219, Saudi ArabiaCivil Engineering Department, College of Engineering, Qassim University, Buraydah, Qassim 52571, Saudi ArabiaCivil Engineering Department, College of Engineering, Qassim University, Buraydah, Qassim 52571, Saudi ArabiaCivil Engineering Department, College of Engineering, Qassim University, Buraydah, Qassim 52571, Saudi ArabiaCivil Engineering Department, College of Engineering, Qassim University, Buraydah, Qassim 52571, Saudi ArabiaSchool of Engineering, University of British Columbia (Okanagan), Kelowna, BC V1V 1V7, CanadaMost 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.https://www.mdpi.com/2076-3298/6/2/19solid waste managementperformance assessmentfuzzy rule-based modelingperformance indicatorsSimulink MATLAB |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hatem Abdulaziz AlHumid Husnain Haider Saleem S. AlSaleem Majed Alinizzi Md. Shafiquzaman Rehan Sadiq |
spellingShingle |
Hatem Abdulaziz AlHumid Husnain Haider Saleem S. AlSaleem Majed Alinizzi Md. Shafiquzaman Rehan Sadiq Performance Assessment Model for Municipal Solid Waste Management Systems: Development and Implementation Environments solid waste management performance assessment fuzzy rule-based modeling performance indicators Simulink MATLAB |
author_facet |
Hatem Abdulaziz AlHumid Husnain Haider Saleem S. AlSaleem Majed Alinizzi Md. Shafiquzaman Rehan Sadiq |
author_sort |
Hatem Abdulaziz AlHumid |
title |
Performance Assessment Model for Municipal Solid Waste Management Systems: Development and Implementation |
title_short |
Performance Assessment Model for Municipal Solid Waste Management Systems: Development and Implementation |
title_full |
Performance Assessment Model for Municipal Solid Waste Management Systems: Development and Implementation |
title_fullStr |
Performance Assessment Model for Municipal Solid Waste Management Systems: Development and Implementation |
title_full_unstemmed |
Performance Assessment Model for Municipal Solid Waste Management Systems: Development and Implementation |
title_sort |
performance assessment model for municipal solid waste management systems: development and implementation |
publisher |
MDPI AG |
series |
Environments |
issn |
2076-3298 |
publishDate |
2019-02-01 |
description |
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. |
topic |
solid waste management performance assessment fuzzy rule-based modeling performance indicators Simulink MATLAB |
url |
https://www.mdpi.com/2076-3298/6/2/19 |
work_keys_str_mv |
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