Journal of Industrial Technology : Suan Sunandha Rajabhat University

Artificial Neural Network for Predicting Accident Prevention Behavior at Work in Automotive Production Process: A Case Study in Phra Nakhon Si Ayutthaya, Thailand

Sasithon Rompa — 2025-06-30

The risk of accidents at work causes injury, death, disability, chronic illness, as well as direct and indirect economic losses, including property damage due to accidents. The purpose of this cross-sectional study aimed to discover influential factors and create an accident prevention behavior prediction model among 272 workers in automotive production process during February to March 2024 in Phra Nakhon Si Ayutthaya province, Thailand. Multiple regression analysis was performed to find out the influential factors with accident prevention behavior. Artificial Neural Network ( ANN) was then used for predicting accident prevention behavior. Only four factors were significantly related to accident prevention behavior. These influential factors included.
perceived barriers to accident prevention behavior (scores), sound pressure level (dBA), heat index (oC), and accident risk perception (scores). ANN model was constructed as 4- 3- 2- 1 by comprising of 4 input variables, 3 and 2 hidden nodes, 1 output variable, momentum was 0.05, learning rate was 0.1, and learning time was 100,000 epochs. This multilayer perceptron of ANN model exhibited the least Mean Square Error (MSE). The Mean Absolute Percentage Error (MAPE) of ANN model was 3.30 percent, which indicates that the ANN model is accurate and can be used to predict individual accident prevention behavior scores in order to plan solving problems according to the influential factors with behavior scores before starting to work.

Lean Management is Used to Improve Efficiency in The Glass Bottle Filling Process of a Beverage Factory

Ornpreeya Rattanawaruwong — 2025-06-30

This study focuses on the packing process of a sample plant that mostly uses machines to pack glass bottle beverages, with overall machine efficiency serving as the primary indicator of machine efficiency throughout production. Because the factory wants to improve overall efficiency, a value stream map was created to identify the source of the entire glass bottle beverage packaging process, and a loss-finding activity was carried out by walking around and using lean concepts, such as the eight production process wastes, to help identify the problem. It was discovered that the major procedure with problems that can be resolved is the cap being caught at the Capper exit. This is a cap stuck problem, with the major issue occurring at the cap rail before entering the cap return cylinder. As a result, Why-Why analysis was done to determine the underlying cause of the problem, and preventive measures were implemented, such as the issue with the cap becoming caught at the cap rail before entering the cap return cylinder. The preventive action was to devise a detailed cleaning schedule so that the equipment could operate at peak efficiency. This reduces the problem of the cap being caught at the Capper exit by 34.48%, from 1.45% to 0.95%., significantly improving overall machine efficiency.

The Development of a Spray Dryer for Crickets with an Automatic Temperature Control System Using PID

Wisit Lumchanao — 2025-06-30

This research article presents an automatic temperature control system using a PID controller. The objectives of the study were to design and construct a small- scale spray dryer and to performance test of the drying process control system. The research equipment included PID temperature control materials and devices, a heat source with four 2,000- watt heating coils, and a PT100 thermocouple to measure the temperature inside the drying chamber. In the experimental procedure, a set point ( SP) was established to test the performance of the PID controller, with the temperature set at four levels: 50°C, 70°C, 100°C, and 120°C. The research results are divided into three areas, 1) temperature control: When setting the SP ( Set Point) for each temperature range, the initial temperature inside the drying chamber was found to be similar, ranging from 30°C to 35°C. Regarding the performance of the controller, an overshoot (exceeding the set temperature) was observed, and the time to reach the SP varied between 6. 20 to 16. 10 minutes. 2) Electrical Performance: The tests measuring voltage and current during the heating process revealed that the developed dryer consumed between 1. 8 to 17. 5 amps, depending on the SP setting, with higher SP levels resulting in increased electrical consumption. And 3) Spray Drying of Crickets: For the spray drying experiment on crickets, three temperature levels were set: 80°C, 100°C, and 120°C. The initial weight of the crickets before drying was 1,000 grams. After the spray drying process, the moisture content at each temperature level was as follows: SP80= 51. 25%w. b, 33. 88% d. b, SP100=21.23%w.b, 17.51%d.b, SP120=6.61%w.b, 6.20%d.b.

Design and Development of a Product Database for Brake Lining: A Case Study of a Brake Lining Factory

Tongmean Teang — 2025-06-30

The automotive parts manufacturing industry is characterized by intense competition, rapidly changing customer demands, and particular customer requirements. As a result, precise design and rapid development of new products are essential for maintaining competitiveness. Our case study is a lining brake factory with several thousand stock-keeping units. Managing all product-related data, such as engineering of change, bill of material and engineering files is crucial yet challenging due to the complexity of the products, manufacturing processes, and supply chain. This study aims to design and develop a product data brake lining management system to centralize product data within organization. It presents three main modules: the Input Data module, the Query Data module, and the Security module. The system is developed following the Software Development Life Cycle (SDLC). The system is based on web application technology, utilizing PostgreSQL for the database, React.js for the client side, and Express.js for the server side. The key technology used in this study is also discussed. The system evaluated through questionnaires completed using a user satisfaction form. User feedback indicated a satisfaction level of 4.48 out of 5 and a standard deviation 0.53. Moreover, it can reduce working time for all teams to create product data or search and retrieve product data from 131.6 min to 52.6 min, which reduces working time by 60% compared to the traditional method.

Enhancing Carbonated Beverage Bottle Packaging: Reducing Changeover Time and Machine Setup in PET5 Production

Suphattra Sriyanalugsana — 2025-06-30

This research aims to enhance the spare parts replacement process and machine setup for large-scale carbonated beverage bottle packaging in the PET5 production line to improve production efficiency and reduce time losses. The research methodology consists of four stages: (1) studying the packaging process, (2) collecting data on time losses occurring during operations, (3) analyzing the root causes of inefficiencies using the Why-Why Analysis technique, and (4) implementing process improvements. The improvement strategies were applied to two packaging machines. For Packaging Machine 1, enhancements included implementing identification markings on spare parts, designing auxiliary equipment to prevent bottle tipping, and establishing standardized procedures for conveyor belt and air-blowing unit adjustments. For Packaging Machine 2, modifications focused on refining the guide rail adjustments at the front and rear of the machine, along with developing auxiliary equipment to enhance measurement accuracy. The results showed a reduction in the changeover time for Packaging Machine 1 from 90 to 76 minutes (15.5%) and for Packaging Machine 2 from 60 to 48 minutes (20%), contributing to increased production capacity and an estimated additional revenue of 5,832,000 Baht per year. The proposed methodology is scalable and can be applied to other production lines using similar machinery, offering a systematic approach to operational efficiency improvement.

A Comparative Study of Object Detection Systems: A Case Study on Detecting Surface Defects on Simulated Automotive Bodies after Spray Painting

Ananta Sinchai — 2025-06-30

This study evaluates the performance of the YOLOv12s model for detecting defects on automotive body surfaces after painting. The defects were based on real production process characteristics and simulated in the lab with 75 pieces, which were photographed and modified to create 150 images for training and testing the model. YOLOv12s achieved an average precision of 0.886. The study also compares YOLOv12s with YOLOv5s and commercial deep learning software like CiRA and Zebra Aurora Vision. The evaluation used precision, recall, accuracy, and F1-score as metrics. YOLOv12s had the highest recall rate of 95.2% and an F1-score of 88.9%, outperforming open-source alternatives and showing performance comparably to CiRA. Zebra Aurora Vision, however, demonstrated an interesting overall performance, with an F1-score of 95.8%. All models showed limitations in detecting small defects or those obscured by the coating or uneven paint. The study concludes that YOLOv12s has strong potential as a cost-effective, efficient alternative for body surface defect detection, with further development needed for real-time production line use.

The study of Occupational Health Literacy and Safety Behaviors Among Waste Collectors in Chiangrai Province

Peerachaya Khaipanya — 2025-06-30

This research is a cross-sectional descriptive study. The purpose of this research aimed to study personal data, occupational health literacy and safety behaviors among waste collectors and the relationship between personal data, occupational health literacy and safety behaviors among waste collectors in Chiang Rai Province. Two hundred and forty-one waste collectors were selected by multi-stage random sampling method. The data were collected using questionnaire divide into three parts consist of personal data, occupational health literacy and safety behaviors. The data were analyzed by descriptive statistics; frequency, percentage, mean, standard deviation, Chi- square test, and Fisher's exact test.
The results showed that most of the waste collectors (55.60%) had fair level in occupational health literacy and most of them (83.40%) had good level for occupational safety behavior. Moreover, personal factors in occupational injury related with occupational safety behavior (p-value < 0.05). Furthermore, the results revealed that the positive correlation between reading and understanding, communication skills, making decisions and applying, media literacy, and self- health management, were statistically significant with occupational safety behavior (p < 0.001). In addition, occupational health literacy should be promote for waste collectors and should also organized occupational health promotion programs as a guideline for improving the level of occupational safety behavior among waste collectors.

Life Cycle Energy Assessment in the Electricity Generation Sector of Thailand

Suchin Chaweewong — 2025-06-30

This research aims to study the relationship of causal factors affecting energy consumption throughout the life cycle in Thailand’s electricity production sector in the future, in line with the country’s development goal toward sustainability. A Long Structural Equation Modeling based on the Latent Growth Model (LSEM-LG model) was developed as a key tool to be applied in managing the country efficiently toward the net zero emission goal by the year 2065. The research findings revealed that from the past (1992–2024), there has been continuous and significant growth in the economic and social sectors. However, this growth has simultaneously caused ongoing environmental degradation. The study found that CO2 emissions resulting from energy use in the electricity sector have increased beyond the acceptable threshold (set not to exceed 65.05 Mt CO2 Eq. for 2024–2034). The projected growth rate between 2025 and 2034 is 31.52%, resulting in CO2 emissions reaching 75.79 Mt CO2 Eq. As a result, the study proposes a new policy scenario: increasing the use of biodiesel and gasohol fuels can help reduce the growth rate of CO2 emissions to only 52.31 Mt CO2 Eq. (2025– 2034). This demonstrates that the model developed in this study is suitable for application in national decision-making to drive the country toward a green industrial future.

Factors Associated with Lung Function among Khit Pillow Workers Exposed to Fine Particles in Si Than Subdistrict, Pa Tio District, Yasothon Province, Thailand

Kantika Samart — 2025-06-30

The process of making pillows produces fine dust particles that affect lung function. This study aimed to identify factors associated with lung function impairment due to exposure to fine dust particles among informal workers in the pillow weaving industry in Sri Than Subdistrict, Patiu District, Yasothon Province. A total of 172 workers participated in the study, which was conducted between April and May 2024. The data collection tools included a questionnaire on the surveillance, prevention, and control of diseases related to fine dust particles, environmental measurement devices, and spirometers to assess lung function. The data were then analyzed to consider factors associated with lung function using Spearman’s rank correlation and the Chi-square test. The study results identified six key factors: age, smoking frequency, annual health check-up results, workplace safety recommendations, concentrations of fine dust particles in the work environment (µg/m³), and knowledge scores on surveillance, prevention, and control of diseases related to fine dust particles. These findings can be used to determine occupational health and safety measures to mitigate the impact of fine dust particles on lung function among informal workers in the pillow weaving industry.

Biochar is produced from coconut shell waste generated during the white coconut processing process.

Aran Kwanpan — 2025-06-30

This study aimed to test the efficiency of the co-firing reactor and evaluate its quality against the Thai Community Product Standard (M.P.C.657/2547). The reactor was specifically designed to integrate biomass and used engine oil as fuel components. Biochar properties were subsequently analyzed. Results indicated that the cogeneration reactor achieved a maximum average furnace temperature of 665°C with a burning time of 310 minutes. The produced biochar met the Community Product Standard (M.P.C.657/2547) requirements, exhibiting a heating value of 6,518.25 cal/g, ash content of 4.57%, volatile matter content of 11%, and moisture content of 3.82%.
A one-sample t-test (N=20) revealed that the biochar's heating value ( = 6,518.25 cal/g) was significantly higher than the standard value of 6,000 cal/g (p<.001).
Thus, the cofiring reactor is efficient enough to decompose tar, yielding pure charcoal. The resulting biochar possesses properties suitable for household cooking fuel and can also be developed into charcoal briquettes.