MAKING A DECISION USING ANALYTICAL HIERARCHY PROCESS (AHP) IN SELECTING SUITABLE FOOD WASTE MANAGEMENT METHOD: A CONCEPTUAL FRAMEWORK
DOI:
https://doi.org/10.17501/26510251.2022.31016Keywords:
Food waste management, Analytical Hierarchy Process, Decision MakingAbstract
Food waste in Malaysia has the highest composition in municipal solid waste (MSW) stream which, occupied around 44.5% of the total waste in mass. As food wastes are commonly disposed to landfill, during the process of degradation, it produces harmful pollutants such as leachate which cause contamination to the water sources while landfill gases lead to global warming and climate change. However, land scarcity is an issue in Malaysia where it is soon coming into a limit in spaces for landfilling. Hence, it is vital to look into a suitable food waste management method upon the issues. The application of Multi Criteria Decision Making (MCDM) is important in assisting the decision-making process by suggesting suitable food waste management treatment method. It helps to select shortlisted criteria that fulfill the requirements in line with the preferences and suggest on suitable treatment selection for decision. Analytical Hierarchy Process (AHP), which is one of the MCDM techniques, able to provide a rational decision-making framework by incorporating many relevant criteria and alternative that is support by scientific values of the suggestion. With the aid of the decision-making technique, food waste can be properly managed through suitable management treatment method and promotes on circular economy, reducing impacts towards the environment. From the results analyzed through MCDM, it is encouraged to practice on Anaerobic digestion (AD) treatment as it results in significant reduction of impact towards the environment. The use of AD treatment has significantly show contribution towards the environment. This study allows in showing on how food waste can be management properly in the suitable and preferred method that allows in the reduction of environment pollution
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This work is licensed under a Creative Commons Attribution 4.0 International License.
