Decision-Making Strategy of Hospital Waste Management Using the TOPSIS Method

Abstract

Clinical waste is likely to include disease-causing microorganisms, chemical wastes, and other treatments used to treat different conditions, whether solid or liquid. As a result, clinical wastes have a more significant potential for pathogenicity and toxicity than most other types of waste in all of their forms. This study aims to design a strategic decision model for managing medical waste from hospitals. The method used in this research is the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The data was collected using a questionnaire distributed to three people from various fields: hospital waste management experts, academics, and the environmental service. The results show that the preference for the best hospital waste management strategy is SOP improvement with a weight of 0.6576. Furthermore, the alternative of investing in environmentally friendly technology, 3R campaigns, and outreach to employees and visitors received a weight of about 0.4885, 0.2973, and 0.3393, respectively. This study can be a reference for research related to decision-making strategies and the field of hospital waste management.

Environmentally Friendly Strategies for Recycling Agricultural Waste to Produce Renewable Energy: A Case Study of Durian Fruit

“…( 1) was used to apply a normalization process to every matrix. In a Multi-criteria Decision-Making (MCDM) scenario, decision-makers commonly define criteria to address various aspects across many domains concerning possibilities and interests [18]. Consequently, regardless of the units used, presentation beliefs can fulfill the criteria for government incentives.…”

“…The best approach improves the benefit criterion while optimizing and minimizing the expense condition. TOPSIS ranks alternatives and utilizes attribute information without needing individual attribute preferences [18]. This strategy requires using mathematical characteristic rates with matching elements and a consistent rise or reduction.…”

“…Problems with multiple objectives can be resolved using the MCDM method. Several solutions can be applied for energy management and preparation pronouncements based on the slanted average, outranking, significant apprehension situation, fuzzy impressions, and integrations [17,18]. MCDM has experienced significant developments since the early 1960s, including state-of-the-art methods and powerful algorithms (computer tools) [19].…”