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Author: search.filters.author.Kiatcharoenpol, TossapolSubject: search.filters.subject.Reverse logistics

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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.
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    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.
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    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.
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    Developing Reverse Logistics Practices Solutions Model Using Structural Equation Modeling
    (2018-07-02)
    Sirisawat, Pornwasil
    ;
    Kiatcharoenpol, Tossapol
    Reverse logistics (RL) become one of the key strategy of supply chain management in the present which focus on reducing environmental impacts and also recapturing value from end of life products/return products from point of consumption to create more profits to the businesses. Many companies try to apply the concept of RL to improve the efficiency of supply chain management and response to demand changing of the customers which more focus on the environmental friendly products. However, the companies still faced some barriers from RL practices implementation. Therefore, the objectives of this study aim investigate the RL practices solutions of Thai's electronics industry by using structural equation modeling (SEM) which exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to examine the proposed model.
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    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.