Publication:
Fuzzy MCDM Model for Selection of Infectious Waste Management Contractors
Fuzzy MCDM Model for Selection of Infectious Waste Management Contractors
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Date
2022
Authors
Nguyen Van Thanh
Nguyen Hoang Hai
Nguyen Thi Kim Lan
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Research Projects
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Abstract
Healthcare supply chains are under pressure to drive down costs
because of digital business, shifting customer needs and new competition.
Medical waste generated from medical facilities includes medical activities
and daily-life activities of patients and their family members. According to
statistics of the Department of Health EnvironmentalManagement, Vietnam
currently has more than 13,500 medical facilities, including hospitals from
central to provincial and district levels and private hospitals and medical
facilities. Preventive medicine generates about 590 tons of medical waste/day
and is estimated to be about 800 tons/day. Medical waste includes ordinary
medical waste and hazardous medical waste; in which ordinary medical waste
accounts for about 80%–90%, only about 10%–20% is hazardous medical
waste including infectious waste and non-infectious hazardous waste. This
is an environmental and occupational health issue that needs attention in
developing countries like Vietnam. Handling large amounts of medical waste
to ensure environmental and personal hygiene, doing so inefficiently creates
potential hazards to the environment and increases operating costs. However,
hospitals lack objective criteria and methods to evaluate and select the most
optimal infectious medical waste, relying instead on their own subjective
assessment and prior experience. Therefore, the author proposed a fuzzy multicriteria
decision making (MCDM) model including Fuzzy Analytic hierarchy
process (FAHP) and the Weighted Aggregated Sum-Product Assessment
(WASPAS) for infectious medical waste contractors’ selection in this research.
The proposed FuzzyMCDMmethod is in-tended to provide a more efficient,
accurate method in the selection of infectious medical waste contractors than
subjective assessment methods, thus reduce potential risks to hospitals. The
results of this study can be applied to evaluate and select contractors in other
industries.
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Keywords
"MCDMmodel,
fuzzy theory,
fuzzy AHP,
WASPAS,
medical waste contractors"