Thai Industrial Engineering Network Journal https://ph02.tci-thaijo.org/index.php/ienj <p>Industrial Engineering Network started since 1982, until the Thai Industrial Engineering Network Journal (IENJ) journal was founding in 2015. The objective of the Thai Industrial Engineering Network Journal (IENJ) is to publish research article and review article for industrial engineering educators, researchers, and practitioners to advance the practice and understanding of applied and theoretical aspects. The journal accepts English and Thai language manuscripts of original research and review articles which have never been published elsewhere. Research areas of the journal include Industrial Engineering, Manufacturing Processes, Materials Engineering, Automation Engineering, Operations Management, Operations Research, Quality Engineering and Management, Logistics and Supply Chain Management, Work Study, Ergonomics and Design Engineering, Safety Engineering, Green and Sustainable Technology Management, Related Topics in Industrial Engineering. All contributions to Journal of Thai Industrial Engineering Journal are published free of charge and there is no article submission charge.</p> <p>The journal employs a double-blind review process, in which authors and reviewers are anonymous to each other throughout the process.</p> <p>ข่ายงานวิศวกรรมอุตสาหการ ได้เริ่มก่อตั้งขึ้นเมื่อ ปี พ.ศ. 2525 จากนั้นในปี พ.ศ. 2558 จึงได้เริ่มจัดทำวารสารข่ายงานวิศวกรรมอุตสาหการไทย โดยมีวัตถุประสงค์เพื่อเป็นแหล่งเผยแพร่บทความวิจัย (Research article) และบทความวิชาการ (Review article) ของคณาจารย์ นักศึกษา และนักวิชาการทั้งภายในและภายนอกสถาบัน เพื่อให้เกิดความก้าวหน้าและความเข้าใจในด้านทฤษฎีและการประยุกต์ความรู้ในด้านงานวิศวกรรมอุตสาหการและศาสตร์ที่เกี่ยวข้อง วารสารยินดีรับบทความที่มีขอบเขตเนื้อหาเกี่ยวข้องในศาสตร์ทางด้านวิศวกรรมอุตสาหการ วิศวกรรมการผลิต วิศวกรรมวัสดุ วิศวกรรมระบบอัตโนมัติ การจัดการโลจิสติกส์ การศึกษาการทำงาน การยศาสตร์ วิศวกรรมการออกแบบ วิศวกรรมความปลอดภัย การจัดการสิ่งแวดล้อมและความยั่งยืน และในสาขาต่าง ๆ ที่เกี่ยวข้อง การส่งวารสารเพื่อรับการพิจารณาและการเผยแพร่ไม่มีค่าใช้จ่ายใด ๆ ทั้งสิ้น</p> <p>ทุกบทความจะต้องผ่านการพิจารณาจากผู้ทรงคุณวุฒิเท่านั้น และเผยแพร่โดยการจัดพิมพ์เป็นเอกสารและวารสารอิเล็กทรอนิกส์ผ่านทางเว็บไซต์ กำหนดการออกวารสาร ปีละ 2 ฉบับ ฉบับที่ 1 เดือน มกราคม – มิถุนายน ฉบับที่ 2 เดือน กรกฎาคม - ธันวาคม</p> <p style="margin: 0cm; margin-bottom: .0001pt;"><strong><span style="font-family: 'Georgia',serif; color: #333333;">Print ISSN: </span></strong><span style="font-family: 'Georgia',serif; color: #333333;">2408-2635 </span></p> <p style="margin: 0cm; margin-bottom: .0001pt;"><strong><span style="font-family: 'Georgia',serif; color: #333333;">Online ISSN</span></strong><span style="font-family: 'Georgia',serif; color: #333333;">: 2673-0006</span></p> <p style="margin: 0cm; margin-bottom: .0001pt;"><strong><span style="font-family: 'Georgia',serif; color: #333333;">Established:</span></strong><span style="font-family: 'Georgia',serif; color: #333333;"> 1982</span></p> <p style="margin: 0cm; margin-bottom: .0001pt;"><span style="font-family: 'Georgia',serif; color: #333333;"><strong>Start Publish Journal</strong>: 2015<br /><strong><span style="font-family: 'Georgia',serif;">Language</span></strong>: English/Thai<br /><strong><span style="font-family: 'Georgia',serif;">Publication Fee</span></strong>: Free<br /><strong><span style="font-family: 'Georgia',serif;">Issues per Year</span></strong>: 2 Issues (January-June, July-December)</span></p> <p style="margin: 0cm; margin-bottom: .0001pt;"> </p> <p><a href="https://www.tci-thaijo.org/index.php/ienj/submission/wizard" target="_blank" rel="noopener"><strong>ส่งบทความ (</strong></a><strong><a href="https://www.tci-thaijo.org/index.php/ienj/submission/wizard">Make a new submission)</a></strong></p> <p><a href="https://www.tci-thaijo.org/index.php/ienj/submissions" target="_blank" rel="noopener"><strong>ติดตามผลการส่งบทความเพื่อตีพิมพ์ (V</strong></a><strong><a href="https://www.tci-thaijo.org/index.php/ienj/submissions">iew your pending submissions)</a></strong></p> <p><a href="https://www.tci-thaijo.org/index.php/ienj/information/authors" target="_blank" rel="noopener"><strong>ขั้นตอนการตีพิมพ์ และรูปแบบการเขียนบทความเพื่อตีพิมพ์ในวารสาร</strong><strong>ข่ายงานวิศวกรรมอุตสาหการไทย (Author Guidelines)</strong></a></p> ข่ายงานวิศวกรรมอุตสาหการไทย en-US Thai Industrial Engineering Network Journal 2408-2635 <p>บทความ ข้อมูล เนื้อหา รูปภาพ ฯลฯ ที่ได้รับการตีพิมพ์ในวารสารฯ ถือเป็นลิขสิทธิ์ของวารสารฯ หากบุคคลหรือหน่วยงานใดต้องการนำทั้งหมดหรือส่วนหนึ่งส่วนใดไปเผยแพร่ต่อหรือเพื่อกระทำการใดๆ จะได้รับอนุญาต แต่ห้ามนำไปใช้เพื่่อประโยชน์ทางธุรกิจ และห้ามดัดแปลง</p> Development of a Webcam-Based Program for Forearm Physical Therapy https://ph02.tci-thaijo.org/index.php/ienj/article/view/253267 <p>The increasing number of stroke patients worldwide has highlighted the urgent need for accessible and effective rehabilitation solutions [1-2]. This research presents the development of a webcam-based physical therapy program aimed at supporting forearm rehabilitation for stroke patients. The system utilizes the MediaPipe framework to detect key anatomical landmarks, the shoulder, elbow, and wrist in real time and calculate the angle of arm flexion during therapeutic exercises. The program includes features for repetition counting, patient data management, and exercise history logging. Experimental evaluations were conducted to examine the impact of camera angle and body posture on detection accuracy. Results indicate that side and straight-on views at 45° and 90° camera angles yield optimal accuracy for detecting arm elevation, while oblique angles result in reduced performance. The system exhibited the highest reliability in detecting and counting exercise repetitions at lower arm elevation angles, particularly within the 0–30° range. In contrast, detection accuracy significantly declined at higher angles (40°, 60°, and 90°), especially when the camera was positioned directly in front of the user. This research contributes to the advancement of computer-assisted physical therapy by offering an affordable and practical tool to assist healthcare professionals in monitoring and guiding patient recovery.</p> arfip jikaraji Habib Bin-ahmad Hafis Maeraekache Hassan Dao Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 1 8 Developing an OEE Dashboard with Power BI for Smart Factory Implementation in the Nylon Filament Industry https://ph02.tci-thaijo.org/index.php/ienj/article/view/258218 <p>This research aims to develop a dashboard for presenting Overall Equipment Effectiveness (OEE) data in the production of nylon filament. The objective is to address delays in data collection and analysis, as well as to improve data visualization for better understanding. Power BI is used to create the dashboard for OEE calculation and machine performance analysis while real-time data storage is managed through the I-Reporter application. This system reduces paper usage by transitioning to digital processes, supporting the Smart Factory concept. The research process includes analyzing the current data system, designing a data collection system using the I-Reporter application, developing a real-time database, creating an OEE dashboard, and testing system performance. Findings indicate that the system reduces the OEE calculation time from two days to 60 minutes, supports the factory’s efficiency goals, and can be applied to other production processes. In addition to reducing direct labor costs by 17,750 THB per year and minimizing paper usage, the system helps prevent avoidable quality-related losses by enabling faster responses to deviations in production. The total estimated opportunity saving is approximately 226,322 THB per year.</p> Suphattra Sriyanalugsana Benjamapon Punthung Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 9 23 Development of Factory Layout to Optimize Transportation Routes Using Systematic Layout Planning https://ph02.tci-thaijo.org/index.php/ienj/article/view/257995 <p>This improvement of the recycled plastic pellet manufacturing plant layout aimed to reduce material handling distance and time by applying systematic layout planning principles together with activity relationship analysis. The study collected data on internal transportation and found that the total distance before improvement was 4,211 meters. After analyzing relationships between activities and designing three alternative plant layouts, the results showed that layout design 3 could reduce the total transportation distance from 4,211 meters to 3,311.35 meters and decrease material handling time from the receiving point to the melting facility by up to 34 seconds. Statistical analysis indicated that the time reduction met the established criteria. The proposed methodology can increase production efficiency, reduce costs, and be applied to similar types of manufacturing plants in the future.</p> Prin Nachaisit Kanokwan Kroeksungnoen Wannisa Nutkhum Jittiwat Niithikarnjanatharn Atthapol Camchay Phatsawut Kunton Bhoomboon Phontang Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 24 33 Energy Efficiency Enhancement for Industrial Boilers Utilizing High Emissivity Coating: A Case Study https://ph02.tci-thaijo.org/index.php/ienj/article/view/258920 <p>The growing energy demand has driven a consistent rise in energy costs, making energy conservation imperative, particularly in the industrial sector due to its significant energy consumption. Boilers are critical in various industries and other economic sectors that rely on heat energy. Currently, more than 10,000 boilers are registered with the Thai Department of Industrial Works and a global market exceeding 500 trillion baht. Consequently, improving boiler efficiency has become both critical and urgent. This study explores the application of high-emissivity coatings to enhance boiler efficiency. These coatings, by reducing heat loss from reflection and increasing heat absorption in boiler water tubes, improve heat transfer to steam. This results in enhanced boiler performance, enabling increased production and reduced fuel consumption. The findings reveal that high-emissivity coatings can improve boiler efficiency from 89.61% to 91.67%, achieving energy savings of 2.25% or 3.05 GJ/h. This leads to an annual reduction in fuel consumption by 488.57 tons and carbon emissions by 1,315.61 tons, all without compromising steam output. These outcomes were validated through hypothesis testing. This measure provides a practical solution to energy challenges and can be implemented alongside other efficiency improvement measures. Moreover, it strengthens industrial competitiveness and aligns with environmental sustainability goals.</p> Tiraphut Viraset Sompong Putivisutisak Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 34 42 Ergonomic Risk Management of Mobile Crane Inspection https://ph02.tci-thaijo.org/index.php/ienj/article/view/254381 <p>This research aims to manage ergonomic risks in mobile crane inspection by using the REBA, WBGT Meter tool, and Lux Meter. The results show that the high risk was occurred at the marking on cylinders and height measurement of load cell equal to 11 score points. After improvement by laser installation, the REBA score equal to 0. The working temperature was in the range of 34.7-36.3 °C, which higher than the 32-34 °C of standard values for light and medium work according to the Ministerial Regulation, can be improved by reducing outdoor working hours, provide drinking water, and provide shaded places. The working brightness is in the range of 12,910 – 18,180 Lux, which is not less than the standard value for rough and medium precision work according to the Ministerial Regulation of 200 – 700 Lux.</p> Chinnachote Thiammethi Charuvan Kasemsap Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 43 52 Efficiency Improvement of Information Flow in the record keeping system Using Lean Concept: A case study https://ph02.tci-thaijo.org/index.php/ienj/article/view/257532 <p>The case study company encountered issues with redundant and unstructured data recording and inventory checking processes, resulting in delays, a lack of accuracy, and communication errors. These inefficiencies also led to the company’s inability to effectively meet customer demands. Additionally, the company lacks personnel with expertise in information technology, preventing the full utilization of digital systems for data management. To address these challenges, this research aims to study the problems and propose solutions to improve the data recording system. It also analyzes the waste occurring in operational processes by applying Lean Thinking to identify and assess problems using tools such as the Fishbone Diagram, the 5W+1H technique, and the 8 Wastes concept. The ECRS principle is then employed to redesign the workflow by reducing unnecessary steps and minimizing processing time. After the improvement, the number of process activities was reduced from 17 to 12, and the average processing time was shortened from 93 minutes to just 24 minutes—representing a 74.19% reduction. This demonstrates the tangible efficiency achieved through the proposed process improvement approach.</p> Palida Suttishe Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 53 66 Improving the Production Efficiency of Pickled Garlic Seasoning by Using a PLC System to Control Temperature, Time and Fuel. Displayed with the Internet of Things System https://ph02.tci-thaijo.org/index.php/ienj/article/view/67-74 <p>This research aims to improve the production efficiency of pickled garlic seasoning water for the Nivet Pickled Garlic Community Enterprise in Chiang Mai Province. The enterprise has encountered a major issue with its traditional boiling method, which relies on the producers’ experience to estimate the boiling duration. This results in inconsistent color quality of the seasoning water, affecting both the appearance and shelf life of the pickled garlic in each production batch. Inconsistencies in quality may lead to the disposal of entire batches, increasing production costs and causing significant losses. To address this problem, the study emphasizes the importance of ensuring the community enterprise can produce high-quality and consistent seasoning water. The researcher implemented a Programmable Logic Controller (PLC) system by designing and installing an automated temperature control system with a timer for fuel activation and deactivation, integrated with the Internet of Things (IoT). Additionally, a durable boiling pot was designed to withstand high heat and resist corrosion from the ingredients used in the seasoning water. The results showed that the new production process reduced the production time by 15.38%, lowered production costs by 16.15%, and completely eliminated waste from substandard seasoning water (0%). Furthermore, production volume increased by 50%, the boiling pot’s lifespan was extended by more than one year, and the return on investment was achieved within three months. These improvements enhanced production efficiency and reduced costs, thereby increasing the community enterprise’s income and improving product quality. This contributes to a sustainable competitive advantage in the market.</p> Supargarn Tuitemwong Veerachai Jaikampan Paisan Saeyang Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 Optimization of Control Device Circuit Board Production with Kaizen Techniques and U-Shaped Layout https://ph02.tci-thaijo.org/index.php/ienj/article/view/258764 <p>This research aims to optimize the production process of control device circuit boards by applying Kaizen techniques and a U-shaped production layout design to improve efficiency and reduce cycle time. The improvement is divided into three models, All three models significantly reduce handling distance, production time, and manpower. The handling distance was reduced from 33.25 meters to 19.50 meters, 41.35% decreasing. The production cycle time was reduced from 1,071.37 seconds to 809.46 seconds, 24.45 % decreasing. The manpower was decreased from 8 to 7 people, 12.50% decreasing. The results demonstrate that applying industrial engineering techniques effectively reduced cycle time according to the specified criteria, thereby improving production efficiency</p> Bhoomboon Phontang Krittapak Plaengdee Jittiwat Nithikarnjanatharn Wannisa Nutkhum Prin Nachaisit Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 75 84 A Prototype of Intelligent Solar Drying According to Economic Guidelines BCG Model https://ph02.tci-thaijo.org/index.php/ienj/article/view/258929 <p>This research designed a solar drying system using heat combined with LPG gas. The solar drying system has an area of 3 m wide and 4 m long. The drying grid has a width of 1 m, a height of 1.70 m, and a length of 3.50 m, consisting of 2 pieces, 3 layers, each layer 56.6 cm, used to dry the product as a mass of 60 g of Namwa bananas.</p> <p>From testing that, the solar drying system does not use additional heat from LPG gas, with the maximum heat amount and system efficiency equal to 0.615 kW and 35.89%, respectively. The initial wet standard humidity value was 71.66% until the final humidity remaining was 29.33% from the weight of 60g reduced to 48 g. Solar drying using LPG supplementary heat, the maximum heat amount and system efficiency were 3.725 kW and 79.99%, respectively. The initial wet standard humidity was 71.66% until the final humidity remained. 18.66 % from the weight of 60g decreased to 31g with the same weight and initial moisture value. It can be that the bananas dried by solar energy with LPG gas added heat have higher moisture and mass reduction than the solar drying system without added heat by 10.67% and 17g. This can reduce the drying time or during times when there is no sunlight by 1-2 days and increase the value of the community's agricultural products according to the circular economy model in the form of the BCG model.</p> Pongphol Rakkanrane Kangsadan Sagulpongmalee Chaleedol Inyasri Chalalai Wongwian Alongkorn Chatmuangpak Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 85 92 Applying Grey Relational Analysis in the Production of Herbal Foot Soak https://ph02.tci-thaijo.org/index.php/ienj/article/view/258972 <p>This research has produced herbs from local herbs for the community enterprise group, Nong Phueng Subdistrict Municipality, Saraphi District, Chiang Mai Province and Mueang Ngai Subdistrict Municipality, Mueang Ngai Subdistrict, Chiang Dao District Chiang Mai Province of strong. The desired result was the optimum off percentage of moisture and feet herbal weight.</p> <p>The design of experiment using the Grey analysis method. The percentage of moisture content and weight of herbal foot soak are measured in this paper. The analysis of variance technique and the Grey analysis method for the optimum of the process parameters of herbal foot soak were used to predict the percentage of moisture content and weight of herbal foot soak. The data used for prediction, derived from experiments conducted in herbal foot soak operation of herbal foot soak process according to the principles of Design of Experiment (DoE) method. The input factors considered in the experiments were time, temperature, and the spacing between the layers of herbs respectively.</p> <p>It was found that the process parameters of herbal foot soak The optimum for the analysis of variance (ANOVA) was factor one, temperature level five equal to 100 °C, time level two and five equal to 4 and 10 hours, and spacing between the first and fourth levels of herbal foot soak shelves equal to 4 and 16 cm, respectively. The results of the herb moisture percentage were 8.4 and 9.6, and the herbal foot soak weight was 88.1 and 91.41, respectively. The analysis of variance for factor one (temperature) and factor two (time) were found to be insignificant at the 95% confidence level. The third factor (spacing between herb shelves) was significant at the R-Sq(adj) level of 93.81% in the analysis of variance and Grey relational analysis, respectively.</p> Suwattanarwong Phanphet Surapong Bangphan Ratanaree Suttipong Pakawadee Osataporn Athiwat Wangmai Tarapong Karnjanaaprichat Copyright (c) 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-06-30 2025-06-30 11 1 93 101