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LAPSE:2019.0577
Published Article
LAPSE:2019.0577
Using the Optimization Algorithm to Evaluate the Energetic Industry: A Case Study in Thailand
June 10, 2019
Thailand’s economy is developing rapidly, with energy being a significant factor in this development. This study uses a variety of models to assess the performance of Thailand’s energy industry in two different phases, the first being from 2013 to 2017 and the second from 2018 to 2020. The Malmquist model-one of data envelopment required input and output data that showed Thailand’s productivity index and the rate-of-change ratio, which is used to assess technical changes, change efficiency, and productivity changes of the 12 listed companies in energetic generation and distribution in Thailand. To calculate future indicators, the forecast data are generated by applying the Grey model (1,1) GM(1,1). Accuracy prediction is determined by the mean absolute percentage error (MAPE). The results show that the magnitude of the change in efficiency during the first period is stable, and some major changes in the technical level of some companies may be observed. In the future, the performance of most companies has increased steadily, but performance has been outstanding. This research provides insights into Thailand’s energy over the past few years, and predictions of future performance may be used as a reference for more purposes.
Keywords
evaluation, Optimization, performance, Thai energy
Suggested Citation
Wang CN, Le TM, Nguyen HK, Ngoc-Nguyen H. Using the Optimization Algorithm to Evaluate the Energetic Industry: A Case Study in Thailand. (2019). LAPSE:2019.0577
Author Affiliations
Wang CN: Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Chien Kung Campus 415 Chien Kung Road, Kaohsiung 807, Taiwan [ORCID]
Le TM: Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Chien Kung Campus 415 Chien Kung Road, Kaohsiung 807, Taiwan; Department of Science Technology and International Cooperation, Hung Yen University [ORCID]
Nguyen HK: Faculty of Economics, Thu Dau Mot University, Number 6, Tran Van On Street, Phu Hoa Ward, Thu Dau Mot City 820000, VietNam [ORCID]
Ngoc-Nguyen H: Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Chien Kung Campus 415 Chien Kung Road, Kaohsiung 807, Taiwan; Department of Industrial Engineering and Management, National Kaohsiung University
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Journal Name
Processes
Volume
7
Issue
2
Article Number
E87
Year
2019
Publication Date
2019-02-09
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7020087, Publication Type: Journal Article
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LAPSE:2019.0577
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doi:10.3390/pr7020087
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Jun 10, 2019
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