Leerojanaprapa, Kanogkan

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Preferred name
Leerojanaprapa, Kanogkan
Alternative Name
Leerojanaprapa, K.
Main Affiliation
Email
kanogkan.le@kmitl.ac.th

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    Item type:Publication,
    Optimal production volume of rubber gloves mold for rubber gloves production planning
    (2016-01-01)
    Somboonwiwat, Tuanjai
    ;
    Jaturanonda, Chorkaew
    ;
    Chotpan, Nattapong
    ;
    Leerojanaprapa, Kanogkan
    The production process of rubber glove is the continuous production line which the hand-shaped ceramic molds are installed and dipped into the concentrated latex to form the rubber gloves. Since, the rubber gloves are diverse in terms of size, surfaces and types of latex, the multiple molds and latex are changed and used in a production process in order to produce rubber gloves from customer requirement. Thus, the changing of mold is extremely complex for production ratio which the rubber glove production planning will be employed to meet anticipate customer orders. This research therefore develops the mathematical model to find the optimal quantity of molds and rubber gloves production planning. Finally, the developed model is applied to an example data set to find the minimum total volume of rubber gloves in every mold for keeping the minimal volume of inventory.
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    Item type:Publication,
    USING A MULTI-CRITERIA DECISION MAKING APPROACH IN CONJUNCTION WITH A DELPHI STUDY TO IDENTIFY FACTORS INFLUENCING POLLUTANT EMISSIONS
    (2023-01-01)
    Atthirawong, Walailak
    ;
    Leerojanaprapa, Kanogkan
    ;
    Somboonwiwat, Tuanjai
    ;
    Luangpaiboon, Pongchanan
    Pollution is currently a major concern in Thailand and other countries around the world. The Thai government has made environmental degradation a priority, emphasizing the benefits of reducing pollution generated by heavy industries. To be successful, a variety of efforts and authority at all levels are required. This study adds to the existing literature on identifying factors that reduce pollution emissions in the plastic industry using a multi-criteria decision-making (MCDM) approach. Two-phase methodologies were used to identify and rank such factors from a practical standpoint. From the first phase, two rounds of the Delphi method yielded three main criteria and 12 sub-criteria. Regarding that, the Analytical Hierarchy Process (AHP) was used to rank those factors. The findings indicated that the top three sub-criteria for According to the findings, the top three sub-criteria for reducing pollution emissions were "determination of standard improvement of pollution discharge at source clearly" (19.55%), "improvement of production efficiency" (15.32%), and "set up action plans for emergency pollution accidents from industry" (11.04%), respectively. Among the main factors, "Source reduction" has the highest rank (40.4%). Finally, this study discussed recommendations for entrepreneurs and policymakers.