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Journal of Industrial Integration and Management ; 2023.
Article in English | Scopus | ID: covidwho-2323947


The residential sector in Thailand has been a fast-growing energy consumption sector since 1995 at a rate of 6% per year. This sector makes a significant contribution to Thailand's rising electricity demand especially during the COVID-19 pandemic. This study projects Thailand's residential electricity consumption characteristics and the factors affecting the growth of electricity consumption using a system dynamics (SD) modeling approach to forecast long-term electricity consumption in Thailand. Furthermore, the COVID-19 pandemic and the lockdown can be seen as a forced social experiment, with the findings demonstrating how to use resources under particular circumstances. Four key factors affecting the electricity demand used in the SD model development include (1) work and study from home, (2) socio-demographic, (3) temperature changing, and (4) rise of GDP. Secondary and primary data, through questionnaire survey method, were used as data input for the model. The simulation results reveal that changing behavior on higher-wattage appliances has huge impacts on overall electricity consumption. The pressure to work and study at home contributes to rises of electricity consumption in the residential sector during and after COVID-19 pandemic. The government and related agencies may use the study results to plan for the electricity supply in the long term. © 2023 World Scientific Publishing Co.

Journal of Manufacturing Technology Management ; 34(4):644-665, 2023.
Article in English | ProQuest Central | ID: covidwho-2315012
Production and Operations Management ; 32(5):1323-1344, 2023.
Article in English | ProQuest Central | ID: covidwho-2314922
International Journal of Robust & Nonlinear Control ; 33(9):4732-4760, 2023.
Article in English | Academic Search Complete | ID: covidwho-2312395
Prod Oper Manag ; 2022 Apr 14.
Article in English | MEDLINE | ID: covidwho-2320094


Testing for COVID-19 is a key intervention that supports tracking and isolation to prevent further infections. However, diagnostic tests are a scarce and finite resource, so abundance in one country can quickly lead to shortages in others, creating a competitive landscape. Countries experience peaks in infections at different times, meaning that the need for diagnostic tests also peaks at different moments. This phase lag implies opportunities for a more collaborative approach, although countries might also worry about the risks of future shortages if they help others by reallocating their excess inventory of diagnostic tests. This article features a simulation model that connects three subsystems: COVID-19 transmission, the diagnostic test supply chain, and public policy interventions aimed at flattening the infection curve. This integrated system approach clarifies that, for public policies, there is a time to be risk-averse and a time for risk-taking, reflecting the different phases of the pandemic (contagion vs. recovery) and the dominant dynamic behavior that occurs in these phases (reinforcing vs. balancing). In the contagion phase, policymakers cannot afford to reject extra diagnostic tests and should take what they can get, in line with a competitive mindset. In the recovery phase, policymakers can afford to give away excess inventory to other countries in need (one-sided collaboration). When a country switches between taking and giving, in a form of two-sided collaboration, it can flatten the curve, not only for itself but also for others.

Supply Chain Management ; 28(4):682-694, 2023.
Article in English | ProQuest Central | ID: covidwho-2293595
Journal of Open Innovation: Technology, Market, and Complexity ; 9(2), 2023.
Article in English | Scopus | ID: covidwho-2291456
Computational and Mathematical Organization Theory ; 2023.
Article in English | Scopus | ID: covidwho-2290906
Discrete Dynamics in Nature and Society ; 2023, 2023.
Article in English | ProQuest Central | ID: covidwho-2264718
2022 Winter Simulation Conference, WSC 2022 ; 2022-December:253-267, 2022.
Article in English | Scopus | ID: covidwho-2256831
Management of Environmental Quality ; 34(3):820-842, 2023.
Article in English | ProQuest Central | ID: covidwho-2256647
2022 Winter Simulation Conference, WSC 2022 ; 2022-December:1235-1246, 2022.
Article in English | Scopus | ID: covidwho-2252368
Journal of Humanitarian Logistics and Supply Chain Management ; 2023.
Article in English | Scopus | ID: covidwho-2249569
Industrial Management & Data Systems ; 123(2):492-514, 2023.
Article in English | ProQuest Central | ID: covidwho-2288670
International Conference on Business and Technology, ICBT 2022 ; 620 LNNS:94-105, 2023.
Article in English | Scopus | ID: covidwho-2278227