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,
    Inventory Management for Consumer Products: A Distribution Center in Thailand
    (2022-01-01)
    Leerojanaprapa, Kanogkan
    ;
    Bhundarak, Komn
    ;
    Atthirawong, Walailak
    ;
    Sirikasemsuk, Kittiwat
    The objective of the study is to formulate an appropriate order quantity policy. A best-selling product, a cleaner fresher mouth, was selected to be a representative of this study. Monthly Sales data of the cleaner fresher product was collected from January 2013 to December 2021, for 9 years, to forecast the sales of each product. Two forecasting techniques i.e. Exponential Smoothing and Box-Jenkins methods were compared to select the appropriate forecasting method by using MSE criterion. It was found that the Triple Exponential Method was the suitable forecasting model to forecast demand for the cleaner fresher products. These forecast values were then applied in inventory planning to determine the order policy by using Economic Order Quantity (EOQ) method of inventory management. The results found that EOQ technique resulted in a reduction in total cost rather than the company's current technique by 27.80%•
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    Item type:Publication,
    Measuring the Efficiency of Thai Commercial Banks during the COVID-19 Pandemic by Data Envelopment Analysis
    (2022-08-26)
    Leerojanaprapa, Kanogkan
    ;
    Bhundarak, Komn
    ;
    Atthirawong, Walailak
    ;
    Sirikasemsuk, Kittiwat
    This study intends to measure the comparative efficiency of Thai Commercial Banks. The performance data has been collected over the past 2 years, between 2020 and 2021 during the COVID-19 pandemic and then compared to performance during the normal period of 2017-2018. Data Envelopment Analysis (DEA) using Variable Return to Scale (VRS) is applied to measure banking performance. Through Intermediation Approach, specific input variables are considered: employee expenses, directors' remuneration expenses, premises and equipment expenses and deposits. The output variables, including loans to customers and investment, are also analyzed.The same time, through the Production Approach, these specific input variables are analyzed: employee expenses, directors' remuneration expenses, premises and equipment expenses, fees and service expenses, taxes and duties and interest expenses. The output variables, including interest income, fee and service income, deposit, and loans to customers, are used to analyze the efficiency. The results of analysis with the Intermediation Approach indicate 5 of 13 Thai Commercial Banks were considered relatively inefficient including BAY, BBL, KBANK, SCB and SCBT. In addition, CIMB is 1 of 13 Thai Commercial Banks is considered as relatively inefficient under the Production Approach.
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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.