Low-Cost Digitization for Monitoring Manual Processes: A Case Study of Tray Cleaning in Semiconductor Manufacturing

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Published: Nov 15, 2025
Keywords:
Industry 4.0, Digitization Excel VBA-based Application Data Visualization Semiconductor Manufacturing

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Pathitta Timtong
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand
Pornnapat Kwanboonya
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand
Warut Pannakkong
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

Abstract

The increasing global adoption of Industry 4.0 technologies has transformed many aspects of manufacturing through automation, data analytics, and smart systems. However, high implementation costs often prevent labor-intensive processes, particularly in developing regions and smaller enterprises, from realizing these benefits. This study addresses that gap by proposing a low-cost digitization solution focused on tray cleaning in semiconductor manufacturing, a critical yet manually executed process. In collaboration with Sony Device Technology Thailand, an Excel VBA-based application was developed to automate real-time recording of tray movements and manpower data. The system incorporates inventory tracking, productivity monitoring, and an interactive dashboard that enhances operational visibility and eliminates the need for manual checks. Quantitative evaluation revealed a 50% reduction in input processing time and a 74.07% decrease in output processing time per transaction. Qualitative improvements include increased cross-functional collaboration, more transparent workforce evaluation, and data-driven decision-making. This study contributes a scalable, practical model for affordable digitization that integrates seamlessly with existing workflows, offering an effective path toward digital transformation in labor-intensive manufacturing environments.


 

Article Details

How to Cite
Timtong, P., Kwanboonya, P., & Pannakkong, W. (2025). Low-Cost Digitization for Monitoring Manual Processes: A Case Study of Tray Cleaning in Semiconductor Manufacturing. INTERNATIONAL SCIENTIFIC JOURNAL OF ENGINEERING AND TECHNOLOGY (ISJET), 9(2), 41–48. retrieved from https://ph02.tci-thaijo.org/index.php/isjet/article/view/258785
Issue
Vol. 9 No. 2 (2025): July-December
Section
Research Article
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Author Biographies

Pathitta Timtong, School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

Pathitta Timtong is currently a fourth-year student, pursuing a Bachelor of Engineering in Industrial Engineering and Logistics Systems at Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand. Her research interests encompass supply chain management, data analysis, digital transformation, Industry 4.0, and Data Visualization.

Pornnapat Kwanboonya, School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

Pornnapat Kwanboonya is currently a fourth-year student, pursuing a Bachelor of Engineering in Industrial Engineering and Logistics Systems at Sirindhorn International Institute of Technology, Thammasat  University, Thailand. Her research interests encompass supply chain management, data analysis, digital transformation, Industry 4.0, and Data Visualization.

 

Warut Pannakkong, School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

Warut Pannakkong received his B.Eng. in Industrial Engineering and M.Eng. in Logistics and Supply Chain Systems Engineering, both from Sirindhorn International Institute of Technology (SIIT), Thammasat  University, Thailand, in 2010 and 2014, respectively. He earned his Ph.D. in Knowledge Science from the Japan Advanced Institute of Science and Technology (JAIST) in 2017. Currently, he is an Associate Professor in the School of Manufacturing Systems and Mechanical Engineering at SIIT and serves as the Deputy Director for International Affairs and Corporate Relations at SIIT. He is also a managing editor of the International Journal of Knowledge and Systems Science. His research interests include artificial intelligence for industry, time series forecasting, sustainable supply chain management, data mining, machine learning, computer vision for industrial applications, and discrete event system simulation and optimization.

 

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