Journal of Industrial Technology : Suan Sunandha Rajabhat University

Quantifying Innovation Potential: An Index System and Model for China's High-Tech Industry Development Zone

Chenqing Su — 2024-12-25

The aim of this study is to investigate the innovative capacity of high-tech zones in China. To this end, we have developed an evaluation index system and established a solid theoretical basis for it. Our evaluation system includes four first-level indicators, eight second-level indicators and 28 third-level indicators, whose weights were determined using the entropy weight method. In addition, we applied the catastrophe progression method to comprehensively assess the innovative capacity of high-tech zones, capture innovation dynamics and identify areas for improvement. The novelty of this study lies in the construction of a multi-level index system based on the framework of cybernetics and information theory. By combining the entropy weighting method and the catastrophe progression method, we provide for the first time a scientific and comprehensive method for assessing innovation capability. Our research not only reveals the strengths and weaknesses of the innovation capability of high-tech zones, but also provides practical assessment tools and theoretical support for their further development. The results show that the systematic index system and scientific assessment methods can effectively evaluate the innovation capability of high-tech zones and provide deep insights and suggestions for improvement. Overall, our study provides valuable insights and practical guidance for the continuous innovation and development of high-tech zones in China.

The Assessment of Hand Arm Vibration among Stone Mortar Informal Workers in Phichai Subdistrict, Mueang District, Lampang Province

Yuwadee Khunsaard — 2024-12-25

Working in an environment with vibration from machinery is increasing the risk for the hand arm vibration syndrome, especially among stone mortar informal workers. The objective of this study was to measure the vibration, evaluate the hazard, and prevalence from exposure to vibration in the arms and hands in 75 stone mortar informal workers from August and September 2023. The tools used to collect data included a general questionnaire and hand arm vibration meters. There were three machines; drilling the stone mortar, stone cutting machine, and decorating both the inside and outside of the stone mortar were measured the hand arm vibration. The results showed that the acceleration values from hand arm vibration of all subjects exceeded the vibration exposure limits including vibration values that informal workers received in one day (8 hours) were also exceeded the vibration exposure limit. These findings would be useful information for further preventing and controlling measure occupational health and safety for working on exposure to vibration including policies and strategies to mitigate the risks for informal stone mortar workers.

Artificial Neural Network for Predicting Silicosis Risk Scores among Stone Carvers in Nakhon Ratchasima, Thailand

Ratchapong Chaiyadej — 2024-12-25

Working in an environment contaminated with silica dust is increasing the risk for the development silicosis for stone carvers in Nakhon Ratchasima province, Thailand. This study aimed to develop an Artificial Neural Network (ANN) model to predict silicosis risk scores among 243 stone carvers who exposed to silica at work from August and October 2023 in Nakhon Ratchasima, Thailand. Regression analysis was performed in order to find the factors significantly associated with silicosis risk scores. Only 4 influenced variables were tested by using regression analysis. Regression analysis and ANN were run to predict silicosis risk scores from 4 influential variables. These influential variables included the concentration of silica dust exposure (mg/m3), working hours per day ( hour) , congenital disorder, and separation of residence from a workplace. 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 0.5, and learning time was 100,000 epochs. The findings showed that the least error with the Mean Absolute Percentage Error (MAPE) was 4.58. Predictive accuracy was assessed by MAPE value. ANN model showed the least value of MAPE when comparing an error value of less than 10%. Therefore, the ANN model is accurate and valid for silicosis risk scores prediction in individuals in order to plan for solving problems according to the factors influencing the silicosis risk scores before starting to work. Further research is recommended to improve to model by large-sample-size research.

Solar Collector Dryers to Increase Economic Value in the Community

Chanchajit Wannurak — 2024-12-25

The objective of this research is to develop, build and determine the efficiency of the Solar Collector dryer by comparing the percentage of moisture and weight of the products obtained from the Solar Collector dryer with the solar drying cabinet and drying by natural method The product used in the experiment was Nam-wa banana.
From the experimental results It can be concluded that the Solar Collector's solar dryer has an average hourly radiation that hits perpendicularly on an inclined plane at 633.06 W/m². The efficiency of the solar collector panel at any time is between 18.18 - 47.75 %. The solar collector has transmits high solar radiation absorption values and prevents heat loss well.The efficiency of the solar collector panels that were created was 99%. The results of comparing the moisture percentage of the products from drying Nam- wa bananas, tested for 1 day and 5 days, calculated according to wet food standards, found that the average moisture percentage of Nam- wa bananas from The Solar Collector solar dryer can reduce humidity better than Nam-wa bananas from solar drying cabinets and from natural drying methods. Represented as 58.22, 56.02, 55.64 and 74.29, 72.99, 71.94 percent, respectively. The weight of Nam-wa bananas from drying 5 times, 5 days each time. The Solar Collector dryer was able to reduce the weight of Nam-wa bananas the most. From solar drying cabinets and from natural drying methods. The weight of Nam- wa bananas decreased on average to 0. 35 kg, 0. 37 kg and 0. 39 kg, respectively and when there is a production capacity of 20 kg/ time Will be able to payback the investment with in approximately 9 days, with a net income of 52,459. 68 per year.

Hearing loss and impairment assessment among workers exposed to excessive noise in a paper plant industry

Pichamon Nimsook — 2024-12-25

Noise is a problem encountered in industries worldwide and directly affects hearing. Hearing loss creates a communication barrier, causes errors in work, and affects daily life. This analytic research aimed to study the prevalence of hearing loss, the prevalence of hearing impairment, and the factors associated with hearing loss among 186 workers in the paper plant industry. The audiometry records available for the period of 2015-2022 were analyzed using frequency, percentage, means, S.D., Independent pair ttest and Chi- square test. The statistical significance was set at P<0. 05. The results revealed that the mean noise level in working environment was 87.15 dBA. Prevalence of hearing loss was 36. 0% with the means of hearing threshold levels in one or both ears were more than 40 dB at 4000-6000 Hertz. Prevalence of hearing impairment was 79.0%. Among the workers with hearing impairment, 67.8% had slight to moderate hearing impairment at better ears and 87. 4% at worse ears. The factors associated with hearing loss were age (p-value=0.010) and year of works (p-value=0.009). Since hearing loss is preventable, continuous management to reduce noise in the working environment, together with managing and encouraging employees' awareness of self- protection, must be implemented.

The Analysis of Carbon Dioxide Emissions from Driving Behavior Using Multiple Linear Regression: A Case Study of Sample Company

Settawut Aekrattanawat — 2024-12-25

In Thailand, the transportation sector is the main source of carbon dioxide emissions, with fuel combustion in engines being a significant contributor to greenhouse gas emissions and global warming. This study aims to examine the carbon dioxide emissions generated by the driving behaviors of sample companies during goods delivery. The data were collected using a GPS tracker installed on the delivery vehicles of these companies. Then, the data were analyzed by multiple linear regression analysis with backward elimination to examine the relationship between driving behaviors and CO2 emissions and the equation for the carbon dioxide emissions quantities. The results show that the quantity of carbon dioxide emissions increases with engine running time, abrupt accelerations, abrupt decelerations, and instances exceeding the speed limit as follows: 0. 004418 KgCo2eq/ min, 0. 04067 KgCo2eq/ time, 0. 2531 KgCo2eq/ time, and 0. 02024 KgCo2eq/ time, respectively. This study also proposed guidelines for controlling driving behavior to reduce carbon dioxide emissions and reduce the risks caused by driving behavior.

Design and Construction of Mussel Shell Fine Grinding Machine for Shell Clay Activity in Community Enterprise Production

Kittirat Rungrattanaubul — 2024-12-25

This research aimed to 1) design and construct a shell fine grinding machine for the Ban Nam- Chiew community tourism enterprise in Trat Province and 2) assess the machine's efficiency. The research methodology starts with the study on the shell from members of the Ban Nam-Chiew community tourism enterprise group by interviewing 3 specific sample groups. The interview topics include how to make the fine powders of mussel shells for shell clay activity, production volume, and community demand for shell grinding machines. Next, 50 g of bleached mussel shell grinding test via a mortar and repeated 5 times. Next, a prototype grinding machine was designed and built using the principles of anatomy and a gyratory crusher that uses conical grinding gears to adjust the size of the shell powder. The interview results showed that the community used stone mortars to grind shells into powder and sieve the shell powders through a 40 mash sieve, grinding ~50 grams each time. In addition, it was found that the community uses shell powder~ 1- 2 kilograms per month. Thus, there is a need for a shell fine grinding machine that is not expensive, easy to move, can be used by the elderly, safe, and easy to maintain. The efficiency test results regarding the percentage of ground shell weight of the mortar and shell fine grinding machine were 92. 63% and 95. 66% , respectively. The actual working efficiency of the human using a mortar and fine grinding machine grinding were 1.58 and 8.59 g/min, respectively. Moreover, the shell fine grinding machine that was built can work continuously with no sieving method, reducing the loss of shell powder and reducing the time spent preparing shell powder in the community. Therefore, it can be applied to crush shells for production at the community enterprise level.

Fracture analysis of the high-speed railway wheel due to changes in microstructure caused by the heat treatment process.

Chaichayo Suetrong — 2024-12-25

This study investigates the fatigue crack propagation in high-speed railway wheel material, grade ER8, used in the Airport Rail Link in Thailand. Two case studies were conducted to examine the structure of railway wheel steel. First is conventional steel structure or the original structure of high- speed railway wheel, consisting of ferrite and pearlite phases. Second is the structure of high-speed railway wheel materials after heat treatment processes to simulate actual operating conditions. Changes in the microstructure of high- speed railway wheel occur, with an increase in ferrite phase and a decrease in pearlite phase. Mechanical properties were tested using ASTM E8 tensile testing standards and fatigue crack propagation resistance testing was conducted using Universal testing machine with a load of 5 kN at a frequency of 10 Hz following ASTM E647 standards. The results showed that the increase in ferrite phase led to higher elongation but lower tensile strength of the railway wheel material. Additionally, it decreased the ability to resist fatigue crack propagation.

Smart Egg Incubator and Egg Inspection Using Optical Fiber Technology

Jesada Sartthong — 2024-12-25

This article presents the design and development of an automatic egg incubator for controlling temperature, humidity, and automatic egg turning every two hours to improve the incubation system and the hatch rate of eggs over a 22- to 25-day incubation period. This research consists of: 1) maintaining a stable temperature inside the incubator between 37 and 38 degrees Celsius and humidity between 55 and 75 percent using the Wi-Fi ESP8266 module combined with the DS18B20 and DHT22 sensors; 2) the system will notify users of the operational status of the incubator through the Blynk server on the internet and the Line application on smartphones; and 3) It presents a technique for using light from high-intensity LED bulbs via multimode fiber optics to check fertilized and unfertilized eggs, instead of traditional inspection techniques such as floating tests or using tungsten bulbs. This approach reduces the impact of sudden temperature changes in the eggs and minimizes bacterial contamination due to handling, resulting in an increase in hatch rates by approximately 30 percent compared to natural brooding by hens.

Improving the Efficiency of Planning Delivery Routes for Goods Transportation: A Case Study of Sample Company

Anawat Montreewong — 2024-12-25

This study presented a method for solving the Vehicle Routing Problem ( VRP). In the case of having only one warehouse. There were many customers, each with a different demand for products but knew the quantity of products that customers need in advance and the exact time period for receiving the customers’ s products. The objective of the study was to reduce transportation costs of the cases study companies and to be able to solve problems related to various limitations, which included: Time Windows, Split Demand Delivery and Capacitated. The researcher has compared transportation costs of the 2 methods: Using routing. Using Clustering and Routing. The results obtained from transporting goods to 117 customers using both methods were compared with using the experience of drivers in planning the route, it was found that the first method made transportation costs to increase by 2.5 baht, equivalent to 0.006% and the other method could reduce transportation costs by 1,535.5 baht, equivalent to 3.43%.