Klongboonjit, Sakon

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Preferred name
Klongboonjit, Sakon
Alternative Name
Klongboonjit, S.
Klongboonjit, Sakol
Main Affiliation
Email
sakon.kl@kmitl.ac.th

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    Item type:Publication,
    Machine components clustering with DSM and repeating method: Case study of a soil mixing machine
    (2018-08-14)
    Kongsin, Tanongsak
    ;
    Klongboonjit, Sakon
    In this study, components of the machine are analyzed to group all components into modular groups with a case study of a soil mixing machine. The study begins by creating a design structure matrix of all components. Next, the design structure matrix is transferred into a distance matrix of all components with Jaccard method. After that, the equation of complete linkage must be applied to change the distance matrix to a tree dendrogram for showing the relationship of machine components and dependent coefficient. With this tree dendrogram, six clusters are arranged:- the 1<sup>st</sup> cluster has 8 modules at the lowest dependent coefficient, the 2<sup>nd</sup> cluster has 7 modules, the 3<sup>rd</sup> cluster has 6 modules, the 4<sup>th</sup> cluster has 5 modules, the 5<sup>th</sup> cluster has 4 modules, and the 6<sup>th</sup> cluster has 2 modules at the highest dependent coefficient. Finally, the 1st cluster with 8 modules is considered to be the most proper cluster for this soil mixing machine by applying the repeating method to analyze all six clusters.
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    Determination of effective university-industry joint research for photovoltaic technology transfer (UIJRPTT) in Thailand
    (2011-02-01)
    Sugandhavanija, Pornpimol
    ;
    Sukchai, Sukruedee
    ;
    Ketjoy, Nipon
    ;
    Klongboonjit, Sakol
    Most of the literatures related to university-industry (U-I) and technology transfer assume that the collaboration particularly the U-I joint research is beneficial to both university and industry which as a result underpins the sustainable development of economics and living standards of developed and developing countries. The U-I joint research for photovoltaic technology transfer in a developing country like Thailand should have been increased considering the fact that (i) the government implemented various strategies to support the renewable energy research and market development, (ii) the university aimed to be " research-based university and (iii) the Thai photovoltaic industry struggle for competitiveness and survival in the global market. However, evidence revealed that the university and industry conducted little number of U-I joint projects. In this paper, we investigate the factors influencing the effective U-I joint research for photovoltaic technology transfer (UIJRPTT). In an attempt to better understand the influence of the factors, the path model with factors related to characteristics and perspectives of the university and the industry as well as joint research mechanism and their linkages to higher growth and improved economic and quality performance of the U-I joint research is developed and validated. The developed model empirically explains interaction between the factors and the outcome factors and can assist the government, the university and the industry to devise target strategies to improve the growth and performance of UIJRPTT. © 2010 Elsevier Ltd.