Sirikasemsuk, Kittiwat

Preferred name

Alternative Name

Sirikasemsuk, K.

Main Affiliation

School of Engineering

kittiwat.si@kmitl.ac.th

Now showing 1 - 10 of 15

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Analysis of two-missing-observation 4 × 4 latin squares using the exact approach
(2018-01-01)
Sirikasemsuk, Kittiwat
;
Leerojanaprapa, Kanogkan
This research deals with the analysis of incomplete Latin square designs using the exact approach. Specifically, the study investigated the 4 × 4 Latin square designs with two missing observations without replication. In the research, the general regression significance test (i.e. the exact approach) was used to derive the estimation formulae of fitted parameters for the full and reduced linear statistical models, thereby simplifying the calculation process. In addition, the proposed exact approach-based formulae facilitate the determination of the treatment sum of squares and the error sum of squares, both of which are subsequently employed in the analysis of variance (ANOVA).
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Industry cluster using cluster analysis to support industry cluster policy of Thailand
(2019-06-01)
Leerojanaprapa, Kanogkan
;
Bhundarak, Komn
;
Sirikasemsuk, Kittiwat
This research implies clustering into three clusters for five industries by means of k-Means clustering method. Agro-processing, textiles and clothing, petrochemicals and chemicals, electronics and telecommunications equipment and automotive and parts are selected for this study as they are main target promoting industries for Thailand. There were 23,628 firms in this study. From this study, we can identify different patterns of demanded resources in three different groups. One cluster required low level of resourced demands for all variables while the other two clusters required capital and manpower interchangeable between high and medium level. Only the electronics and telecommunications equipment sector showed high to medium demand for all variables. After all firms were divided into three clusters, we were able to define cluster regions by provinces, for particular types of clusters in order to evaluate the potential of each region and also define supporting policy for those firms to meet their demands following the regional economic development strategy.
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Applying Bayesian network for noncommunicable diseases risk analysis: Implementing national health examination survey in Thailand
(2017-07-02)
Leerojanaprapa, K.
;
Atthirawong, W.
;
Aekplakorn, W.
;
Sirikasemsuk, K.
We propose using a Bayesian network to capture and understand the dependency risk factors affecting the prevalence of chronic diseases. By applying a Bayesian network model, we can visualize interdependencies between risks and their effects on the Noncommunicable disease (NCD) prevalence. By using a Bayesian network to model the prevalence of diabetes, we can define the top three risks as family history of diabetes, obesity, and age. Furthermore, the risk classification results can help to determine the managing strategy. For the Thai population, problems arising from family history of diabetes and obesity can be met by employing a transfer strategy. Age (especially ages of 35-59) and the risk incurred by low intake of fruits and vegetables should use a reduction or mitigation strategy. Finally, those at risk as a result of their area of residence (in urban areas) and socio-economic factors within the 4<sup>th</sup> quantile and low level of physical activity should apply a retain strategy.
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Improving Automotive Tire Defect in the Vulcanization Process by Leakage Bladders Issues
(2024-01-01)
Kiatcharoenpol, Tossapol
;
Sawangnimitkul, Penpisut
;
Junmewong, Rattanaporn
;
Sirikasemsuk, Kittiwat
The primary objective of this project is to minimize defects in industrial tires resulting from issues with leaking bladders during the curing process. The project aims to reduce the current monthly defective tire production of 1,378.70 kilograms to a target of 1,240.83 kilograms per month, which represents a 10% reduction in defects. Utilizing the QC story methodology, QC 7-tools, and Quality Control techniques, a thorough examination of data and root cause analysis identified five significant factors contributing to defective tires caused by bladder leakage. These factors include 1) a lack of expertise in bladder inspection, 2) excessive usage of bladders, 3) contaminations on the bladder surface, 4) inadequate bladder lubrication and 5) oxidation occurring inside the bladder. To address these issues, a new operational procedure and training program were introduced, alongside modifications to the curing machine to mitigate the oxidation process. Over a span of two months, these changes resulted in a reduction in defective tires to 735.345 kilograms per month, equivalent to a 46.66% decrease in the problem, and a cost savings of 10,000 USD per year.
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Comparison of Bayesian Networks for Diabetes Prediction
(2019-01-01)
Leerojanaprapa, Kanogkan
;
Sirikasemsuk, Kittiwat
A Bayesian network (BN) can be used to predict the prevalence of diabetes from the cause–effect relationship among risk factors. By applying a BN model, we can capture the interdependencies between direct and indirect risks hierarchically. In this study, we propose to investigate and compare the predictive performances of BN models with non-hierarchical (BNNH), and non-hierarchical and reduced variables (BNNHR) structures, hierarchical structure by expert judgment (BNHE), and hierarchical learning structure (BNHL) with type-2 diabetes. ROC curves, AUC, percentage error, and F1 score were applied to compare performances of those classification techniques. The results of the model comparison from both datasets (training and testing) obtained from the Thai National Health Examination Survey IV ensured that BNHE can predict the prevalence of diabetes most effectively with the highest AUC values of 0.7670 and 0.7760 from the training and the testing dataset, respectively.
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Factors associated with Thai exporter's interest in using New Dawei deep seaport
(2017-01-01)
Leerojanaprapa, Kanogkan
;
Sirikasemsuk, Kittiwat
;
Bhundarak, Komn
Dawei deep seaport in a part of the Dawei Special Economic Zone (Dawei SEZ) in Myanmar aims to support the new economics along the GMS Southern Corridor. The Dawei seaport can serve the potential new industries along the new industry zones. The new port will be the alternative route for Thai exporters in the future as it is under construction. The exploratory study by employing survey was selected and analyzed to identify the significant influencing factors. The results of hypothesis testing by Pearson Chi-Square test confirm the relation between the interest of using new Dawei deep seaport and the location of manufacturer (p-value = 0.027). In addition, the results of t-test confirm the significant six decision variables of Time for transportation (v7), Reliability of service (v10), Port size and capability (v15), Facility (v25), Professionals and skilled labors in port operation (v30), and Port accessibility (v31) are more important for exporters who are interested in Dawei seaport than the exporters who may not be intend to use the new seaport, p-value (1-tailed) < 0.05.
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A review on incomplete Latin square design of any order
(2016-10-24)
Sirikasemsuk, Kittiwat
In this paper, the aim was to introduce uninitiated readers extensive research on an incomplete Latin square design and pitfalls in methodology for solving the incomplete Latin square design. The incomplete Latin square design commonly leads to difficulties in the analysis of variance (ANOVA). Accordingly, several techniques were discussed by a number of researchers. It should be noted that the values of sums of squares in the ANOVA table by means of a missing-plot approach without adjusting the bias and an exact approach with a general regression significance test are not identical. This paper suggests to readers that the Latin square design of any order consisting of missing values should be analyzed by means of the exact approach or the missing-plot technique with adjusting the bias. A comprehensive review of the literature provided the gap for further research. It was a lack of definite formula for the ANOVA table with the exact approach for the cases of the incomplete Latin square design. It is thus of interest to provide the ready-made formula of the sums of squares by means of the exact approach in order to reduce the calculation process.
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Estimated parameters of 6 x 6 Latin square design consisting of two missing values
(2019-01-01)
Sirikasemsuk, Kittiwat
;
Thachongthumla, Kanokwan
A design of experiment is a computational technique which is used to select the significant independent variables. The well-designed experiments should reduce the experiment error. We referred to the blocking technique to prevent the error from other variables. This paper focused on the incomplete latin square design (ILSD) based on the blocking technique. The missing values from experiments caused the unbalance design in which the instant formulae were not provided for the analysis of the variance (ANOVA). By means of the exact approach, this paper considered the incomplete latin square design of order 6 x 6 with the two missing values to develop the mathematical formulae for the estimated parameters for full effect model. Finally, it is easy to make the ANOVA. It is noted that the mathematical formulae in this paper can be used to solve all indexes.
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Simulating the Impact of Defective Rates on the Bullwhip Effect in a Supply Chain: A Reciprocating Compressor Manufacturing Case Study with Exponential Smoothing Forecasting
(2024-01-01)
Rattanapuchong, Pradthana
;
Sooksaksun, Natanaree
;
Sirikasemsuk, Kittiwat
This study was dedicated to simulating the impact of defective rates on the bullwhip effect within the context of a supply chain, with a specific focus on a case study involving reciprocating compressor manufacturing. The supply chain configuration encompassed a distributor, a factory, customer, and a remanufacturer. Customer demand was forecasted utilizing the exponential smoothing method, while an order-up-to inventory policy was implemented. The results unveiled a direct correlation between an increase in defective rates and a heightened bullwhip effect. Moreover, the study demonstrated that an elevation in the average yield rate corresponded to a mitigation of the bullwhip effect.
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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%•

Sirikasemsuk, Kittiwat

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