Using a multi-criteria decision making approach in conjunction with a delphi study to identify factors influencing pollutant emissions
- Walailak Atthirawong
- Kanogkan Leerojanaprapa
- Tuanjai Somboonwiwat
- Pongchanan Luangpaiboon
(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023
Walailak atthirawong, Kanogkan leerojanaprapa, Tuanjai somboonwiwat, Pongchanan luangpaiboon (2023). Using A Multi-Criteria Decision Making Approach In Conjunction With A Delphi Study To Identify Factors Influencing Pollutant Emissions, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0208
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 subcriteria.
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.