KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Search Results

Now showing 1 - 6 of 6

Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
Correlation of Reverse Logistics Performance to Solutions Using Structural Equation Modeling
(2019-12-01)
Sirisawat, Pornwasin
;
Kiatcharoenpol, Tossapol
Nowadays, reverse logistics (RL) is one of the key strategies in many industries, especially in the electronics industry due to increasing environmental awareness and sustainable management. The main aim of this research is to investigate the correlation of RL performance to solutions for RL practice of the electronics industry in Thailand. In this research, questionnaires were distributed to 417 companies in the electronics industry of Thailand. A conceptual model was developed and the model examined by using structural equation modeling (SEM). Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used in this study. The hypotheses were tested in which RL performance was directly positively associated with the overall solutions for RL practices. RL performance was also indirectly positively associated with management & organization solutions, legal & technology solutions and collaboration and support solutions of the various solutions for RL practices. Empirical data was tested by using SEM and it was found that the proposed model could fit with the empirical data. The proposed results of this study will help to understand more about RL practices and could provide further direction for researchers and practitioners in the electronics industry and other related industries.
Some of the metrics are blocked by your
consent settings
A study of correlation for reverse logistics barriers to solutions using structural equation modelling
(2019-01-01)
Sirisawat, Pornwasin
;
Kiatcharoenpol, Tossapol
Reverse logistics (RL) plays an important role in many industries especially in the electronics industry and helps sustainability businesses while also reducing environmental impacts. The electronics industry is one of the most rapidly growing industries in Thailand. Many companies adopted RL for their business process but still enforce some barriers that make it unsuccessful. Therefore, this study aims to investigate the relationship of RL barriers and solutions then examines the relationship between these factors. A conceptual model was developed by proposing four hypotheses in which structural equation modelling (SEM) was used to examine the proposed model. The main results of this study show that there are statistics significant of the proposed hypothesis. In conclusion, the proposed model could fit with the empirical data. The proposed results could reconfirm that there are statistics significant of the relationship between RL barriers and solutions of RL practices implementation in Thailand electronics industry.
Some of the metrics are blocked by your
consent settings
Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers
(2018-03-01)
Sirisawat, Pornwasin
;
Kiatcharoenpol, Tossapol
Due to an increasing demand for green products and also pressures from customers and other players along the supply chain, which now pay more attention to environmental awareness and sustainable management, many companies especially in the electronics industry have begun to realize the importance of applying green supply chain management concepts into their activities; reverse logistics (RL) practice is one of the important strategies to provide efficient resource utilization and minimize waste from end of life (EOL) products by following legislation and green concepts. But recently reverse logistics practices are faced with some barriers which make the implementation of reverse logistics difficult and unsuccessful. To increase efficiency in reverse logistics adaptation of the electronics industry, companies need to understand and consider the priorities of both barriers and solutions for developing policies and strategies to overcome these barriers. Therefore, this study focused on the classification of reverse logistics barriers and ranking of both barriers and solutions of reverse logistics implementation in the electronics industry. This paper proposes a methodology based on fuzzy analytical hierarchy process (Fuzzy AHP) and fuzzy technique for order performance by similarity to ideal solution (Fuzzy TOPSIS) in which fuzzy AHP is applied to get the weights of each barrier by using pairwise comparison, and fuzzy TOPSIS is applied for the final ranking of the solutions of reverse logistics implementation. The case of Thailand's electronics industry is used in the proposed method. To illustrate the robustness of the method, sensitivity analysis is used in this study.
Some of the metrics are blocked by your
consent settings
A study of green procurement practices: A case study of the computer parts industry in Thailand
(2016-01-01)
Sirisawat, Pornwasin
;
Kiatcharoenpol, Tossapol
;
Choomrit, Ninlawan
;
Wangphanich, Pilada
Over the last few decades, manufacturers have developed the green concept in their supply chain management to focus on environmental issues. Customers are becoming more environmentally concerned and the government is considering and developing environmental regulations. The main aim of this research is to explore current processes and activities of green procurement management in the computer parts industry of Thailand. Case studies of this research are 5 manufacturers in the computer parts industry in which in-depth interviews and unstructured questionnaires are used to find out the current situation, processes and activities of green procurement management. The results of the research, interesting situations and direction of the computer parts industry are found. The proposed results of this research will help to understand more about green procurement management in the computer parts industry in Thailand and could provide further direction for researchers and practitioners in the computer parts industry. © IEOM Society International.

KMITL

Browse

Filters

Settings

Sort By

Results per page

Search Results