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Author: search.filters.author.Sirisawat, PornwasinStart date: 2020

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    Evaluating Critical Barriers to Industry 4.0 Adoption in the Thai Automotive Sector Using an Integrated Fuzzy BWM-PROMETHEE II-DEMATEL Framework
    (2026-01-01)
    Kiatcharoenpol, Tossapol
    ;
    Sirisawat, Pornwasin
    This study investigates the barriers to the adoption of Industry 4.0 (I4.0) in the Thai automotive industry, which is a major economic growth and export competitiveness driver. It aims to offer evidence-based prioritization of barriers and causal relations to inform firms and policymakers in the transformation of smart manufacturing. The methodology follows three stages of multi-criteria decision-making model. Based on a literature survey and expert knowledge, the integration of Fuzzy BWM-PROMETHEE II was used for prioritization. Then Fuzzy DEMATEL is employed to illuminate the causal relationship among critical barriers. The Fuzzy BWM results highlight Customization, Flexible Production, Human-Machine Collaboration, and Cybersecurity as the most influential practices supporting I4.0 implementation. While analysis of Fuzzy PROMETHEE II and DEMATEL together identifies High Initial Investment, Supply Chain Integration as critical barriers and dominant causal drivers that influence other dependent barriers. Addressing these two factors initially helps accelerate digital readiness and enhance transformation performance. The study presents the advanced systematic ranking of I4.0 adoption barriers in the Thai automotive industry. The integration of Fuzzy BWM-PROMETHEE II-DEMATEL framework has a novel methodological contribution and also provides useful decision support to strategic planning and resource allocation.
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    A selection of barrier factors affecting reverse logistics performance of thai electronic industry
    (2020-01-01)
    Kiatcharoenpol, Tossapol
    ;
    Sirisawat, Pornwasin
    The aim of research is to identify and select various significant barriers affecting Reverse Logistics (RL) performance in Thai Electronic Industry. The work utilizes Structure Equation Modeling (SEM) to empirically validate the relation of barrier to RL performance based on path analysis and Confirmation Factor Analysis (CFA) of SEM. The questionnaire to investigate barriers and RL performance are developed by using a literature review of international research works. The survey has been carried out on mostly large and medium size electronic companies with running operations more than 10 years and located in Thailand. The 67 responses can be obtained and formulate the SEM model for testing and analysis. The hypotheses were tested in which Barriers was directly, indirectly negatively associated with RL performance. After the modification of SEM model according to fit indices, it was shown that 29 barriers are found statistically significant in this empirically study. These barriers can be categorized into eight groups. Such barriers are Management barrier, Organization barrier, Product barrier, Technological barrier, Infrastructural barrier, Financial barrier, Involvement and Support barrier and Legal barrier. The research finding gives priority to enhancement in RL practices in electronic industry to establish effective RL projects as a crucial strategy to meet the environment awareness in global trends.