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Application of ArcGIS and QFD-based model for site selection for bio-medical waste disposal
Jogendra Jangre1, Kanika Prasad1, Dharmendra Patel1
1Department of Production & Industrial Engineering, National Institute of Technology, Jamshedpur, India.
Insights
The study developed a novel model to select optimal sites for bio-medical waste (BMW) disposal in India, addressing challenges posed by COVID-19. This method ensures safe waste management and prevents environmental contamination.
Area of Science:
- Environmental Science
- Public Health
- Waste Management
Background:
- Stringent bio-medical waste (BMW) regulations in India are increasingly enforced.
- The COVID-19 pandemic generated unprecedented BMW volumes, necessitating safe disposal strategies.
- Selecting appropriate BMW disposal sites involves complex multi-criteria decision-making (MCDM).
Purpose of the Study:
- To develop and apply a Quality Function Deployment (QFD)-based model for optimal BMW site selection.
- To integrate subjective and objective criteria for evaluating disposal site suitability.
- To address the critical need for safe BMW management in India.
Main Methods:
- Utilized Geographical Information System (GIS) to identify eight potential BMW disposal sites.
- Applied a QFD-based MCDM model considering 18 relevant criteria.
- Developed a Visual BASIC 6 software prototype to automate the decision-making process.
Main Results:
- The proposed QFD-based model effectively evaluated the suitability of identified BMW disposal sites.
- The study successfully applied the model to assess waste disposal sites in Bilaspur, Chhattisgarh.
- A novel approach was presented for automating BMW site selection.
Conclusions:
- The developed QFD-based model offers a robust solution for complex BMW site selection problems.
- This approach can aid authorities in making informed decisions for safe and effective bio-medical waste management.
- The study contributes a novel, automated system for enhancing public health and environmental safety.
Abstract:
With the increasing formalisation of the health sector in India, the bio-medical waste (BMW) disposal regulations are getting stringent and its implementation is being enforced strictly. The coronavirus disease 2019 (COVID-19) created a healthcare crisis because of the highly contagious nature of the novel virus. Measures employed for the prevention and management of COVID-19 resulted in the generation of an unprecedented amount of BMW in Indian medical history. This BMW needs to be disposed of safely at a suitable site to prevent secondary infection and the potential spread of the virus in the environment. The selection of an appropriate site for BMW disposal requires comparing a wide range of social, economic and environmental factors corresponding to different site locations, which makes it a multi-criteria decision-making (MCDM) problem. This study aims to solve the BMW site selection problems using a quality function deployment-based model that can consider both the subjective and the objective criteria, and evaluate them as per the user's requirements. The proposed model is applied to evaluate the suitability of waste disposal sites in the city of Bilaspur in Chhattisgarh, India. At first, eight possible locations for BMW disposal are identified, while utilising geographical information system (GIS). Consequently, the developed model is applied to evaluate the identified sites, taking 18 relevant criteria into consideration. A software prototype is developed in Visual BASIC 6 to automate the entire decision-making process, further adding to the novelty of the work.
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