USING A MULTI-CRITERIA DECISION MAKING APPROACH IN CONJUNCTION WITH A DELPHI STUDY TO IDENTIFY FACTORS INFLUENCING POLLUTANT EMISSIONS
Conference proceedings article
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Strategic Research Themes
Publication Details
Author list: Walailak Atthirawong, Kanogkan Leerojanaprapa, Tuanjai Somboonwiwat, Pongchanan Luangpaiboon
Editor list: Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni,
Council for Modelling and Simulation.
Publisher: European Council for Modelling and Simulation
Place: Florence, Italy
Publication year: 2023
Title of series: ECMS 2023, 37th Proceedings
Number in series: Issue 1
Volume number: 37
Start page: 208
End page: 214
Number of pages: 7
ISBN: ISSN 2522-2414 (Print)
eISBN: ISSN 2522-2422 (Online)
URL: www.scs-europe.net/conf/ecms2023/ecms2023proceedings.pdf
Languages: English-United States (EN-US)
Abstract
Pollution is currently a major concern in Thailand and other countries around the world. The Thai government has made environmental degradation a priority, emphasizing the benefits of reducing pollution generated by heavy industries. To be successful, a variety of efforts and authority at all levels are required. This study adds to the existing literature on identifying factors that reduce pollution emissions in the plastic industry using a multi-criteria decision-making (MCDM) approach. Two-phase methodologies were used to identify and rank such factors from a practical standpoint. From the first phase, two rounds of the Delphi method yielded three main criteria and 12 sub-criteria. Regarding that, the Analytical Hierarchy Process (AHP) was used to rank those factors. The findings indicated that the top three sub-criteria for According to the findings, the top three sub-criteria for reducing pollution emissions were "determination of standard improvement of pollution discharge at source clearly" (19.55%), "improvement of production efficiency" (15.32%), and "set up action plans for emergency pollution accidents from industry" (11.04%), respectively. Among the main factors, "Source reduction" has the highest rank (40.4%). Finally, this study discussed recommendations for entrepreneurs and policymakers.
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