Sirikasemsuk, Kittiwat

Preferred name

Alternative Name

Sirikasemsuk, K.

Main Affiliation

School of Engineering

kittiwat.si@kmitl.ac.th

Now showing 1 - 10 of 27

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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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Navigating online learning challenges and educational infrastructure in times of crisis: Insights and solutions among Thai engineering students utilizing a mixed-methods analysis
(2024-01-01)
Sirikasemsuk, Kittiwat
;
Leerojanaprapa, Kanogkan
;
Khwanpruk, Kankanit
The rapid shift to online learning during COVID-19 posed challenges for students. This investigation explored these hurdles and suggested effective solutions using mixed methods. By combining a literature review, interviews, surveys, and the analytic hierarchy process (AHP), the study identified five key challenges: lack of practical experience, disruptions in learning environments, condensed assessments, technology and financial constraints, and health and mental well-being concerns. Notably, it found differences in priorities among students across academic years. Freshmen struggled with the absence of hands-on courses, sophomores with workload demands, and upperclassmen with mental health challenges. The research also discussed preferred strategies for resolution, emphasizing independent learning methods, managing distractions, and adjusting assessments. By providing tailored insights, this study aimed to enhance online learning. Governments and universities should support practical work, prioritize student well-being, improve digital infrastructure, adapt assessments, foster innovation, and ensure resilience.
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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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One Missing Value Problem in Latin Square Design of Any Order: Regression Sum of Squares
(2016-12-28)
Sirikasemsuk, Kittiwat
This paper introduced an incomplete Latin square design that leads to difficulties in the analysis of variance (ANOVA). The aim was to determine the explicit and mathematical formulae for the regression sum of squares for the full model of experimental data by means of the exact approach. From an overall review of the literature, the gap was a lack of definite formula for the ANOVA table for the cases of the incomplete Latin square designs. However, in this paper, the least square normal equations for the one-missing-value Latin square design were built to determine the estimates of model parameters and the regression sum of squares of the full effect model. It is noted that the regression sum of squares of the full effect model is one part of the analysis of variance with the exact approach.
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Applying Lean Concept and Software Packages to Support Critical Issue Monitoring Process in Office
(2023-03-31)
Kittipanya-Ngam, Pichawadee
;
Chanthavutti, Anunya
;
Sirikasemsuk, Kittiwat
The purpose of this research was to improve the performance monitoring process of critical issues in a case study company. The problem was that the process of tracking the performance of critical issues was ineffective. This research applied the lean concept. We started with the study and analysis of the work in order to find the root causes of the problem by means of the fishbone diagram. Subsequently, ECRS techniques were used to improve activities. The researcher used Microsoft Office 365 platforms, i.e., Microsoft Planner, to track the performance of the important tasks. After work process improvement, the activities 1 (the coordinator of the five departments collected the department forms) and 4 (the central coordinator summarized the forms of the five departments into the agency's form) could be reduced. Finally, the wasteful process time was reduced by more than 50 %. Also, the workload of coordinators was greatly reduced.
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Impact of order splitting on bullwhip effect in supply chain: Case of identical lead time at distributors-retailer links
(2014-01-01)
Sirikasemsuk, Kittiwat
This research work attempts to establish the bullwhip effect measure under the dual sourcing environment in which the lead time periods of two distributors to fulfill the retailer's orders are identical. Our model was based on the simple three-echelon supply chain with one supplier, two distributors and one retailer for a stationary first-order autoregressive, i.e., AR(1), incoming demand process. It was assumed that the minimum mean-square error forecasting technique and the orderup- to inventory policy were employed in all stages. The impacts of the autoregressive coefficient, the replenishment lead time and the proportion of order quantities placed by the retailer with the two distributors were investigated. A detailed comparison of the bullwhip effect of dual sourcing and that of single sourcing was also provided. © (2014) Trans Tech Publications, Switzerland.
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Regression sum of squares of randomized complete block design with one unrecorded observation
(2018-09-26)
Sirikasemsuk, Kittiwat
;
Leerojanaprapa, Kanogkan
;
Sirikasemsuk, Sirisak
In the classical design of experiment, a randomized complete block design (RCBD) is a helpful experimental design because this design uses a small number of experimental units. The randomized complete block design is comprised of two factors, i.e., one nuisance factor and one potential factor. In many real experiments, some data may be missing or unrecorded. The instant formulae were not provided for an analysis of variance in this case. This paper took into account the RCBD with a treatments and b blocks. In this contribution, the RCBD with an unrecorded value was analyzed by means of the exact scheme with the general linear model. Due to no ready-made formula in the past, this research paper provided the mathematical formulae for the fitted parameters and the overall regression sum of squares (ORSS) for the full model of experimental data.
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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%•
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Work posture risk comparison of RULA and REBA based on measures of assessment-score variability: A case study of the metal coating industry in Thailand
(2024-01-01)
Sirikasemsuk, Kittiwat
;
Kittipanya-Ngam, Pichawadee
;
Luanwiset, Darin
;
Leerojanaprapa, Kanogkan
This study examines the work posture risk comparison of RULA and REBA based on measures of assessment-score variability. During the metal coating process, chemicals were frequently employed, necessitating a heightened level of caution among the employees. The Cornell Musculoskeletal Discomfort Questionnaires (CMDQ) revealed the manifestation of physical discomfort among employees. In this study, the rapid upper limb assessment (RULA) and the rapid entire body assessment (REBA) were used to identify ergonomic concerns related to the work of employees in the black oxide coating department of a metal coating firm. The sensitivity of risk assessment between the two methods was investigated, considering the mean and variability of the assessment scores. Consideration was given to the diverse and crucial work positions of employees at each station, focusing exclusively on the standing working posture. In the black oxide coating section, there were 12 steps that 20 workers had to complete. Under the same wo rking postures, the overall average RULA score was determined to be at a high-risk level, whereas the overall average REBA score was at a moderate-risk level. As a result, the RULA method had a greater capacity for risk warning than the REBA method. Levene's test was also applied to determine whether the variances of the risk scores computed using the two techniques were equal. The results of the analysis showed that the variances in the scores using the two methods were not significantly different.
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Regression sum of squares of symmetric balanced incomplete block design consisting of another one missing observation by accident
(2017-07-02)
Sirikasemsuk, Kittiwat
;
Leerojanaprapa, Kanogkan
A balanced incomplete block design (BIBD) is the effective way to help analyze a treatment variable and one block variable under the condition where experimental units are limited. This paper considered the symmetric balanced incomplete block design (SBIBD) with t treatments and t blocks of size t-1. The trouble of analysis is caused if another one missing value unintentionally occurs in the experiments. The SBIBD with another one missing value was analyzed by means of the exact approach, i.e., the general regression significance testing procedure. There was no ready-made formula in the past. Hence, the paper provided the mathematical formulae for the fitted parameters and the regression sum of squares for the full effect model of experimental data.
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Sirikasemsuk, Kittiwat

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