Simulation-Driven Design of Automated Machines for Three-Bottle Beer Packaging

Main Article Content

Sirin Chonphairot
Srisit Chianrabutra

Abstract

The alcoholic beverage industry has experienced continuous growth, prompting manufacturers to introduce new packaging formats. Such changes impose limitations on existing production machinery and processes. This study aims to improve the packaging process of beer products into paper cartons by designing and developing an automated machinery system integrated with simulation software to enhance design efficiency and minimize operational errors. The results demonstrate that the proposed system significantly improves production efficiency, reduces operational costs, and decreases reliance on manual labor. Furthermore, the application of simulation contributes to mitigating design errors and shortening project implementation timeby up to 90 days, representing 23% of the total project duration, leading to a cost-effective investment and practical applicability for industrial deployment.

Article Details

How to Cite
Chonphairot, S., & Chianrabutra, S. (2026). Simulation-Driven Design of Automated Machines for Three-Bottle Beer Packaging. Journal of Advanced Development in Engineering and Science, 16(46), 26–42. Retrieved from https://ph03.tci-thaijo.org/index.php/pitjournal/article/view/4131
Section
Research Article

References

[1] Yongpisanphob, W. (2022). Focusing on the Beverage Industry Trends for 2022-2024. Available from https://www.krungsri.com/th/research/industry/industry-outlook/food-beverage/beverage/io/io-beverage-2022. Accessed date: 1 February 2022. (in Thai)

[2] Khuntanakan, S., et al. (2012). Lean Management for Environment. Thailand Environment Institute Foundation. (in Thai)

[3] Rhunkasem, N. (2019). Alcoholic Beverages' Sales Promotion Strategies of the Alcohol Business Group in Thailand. CRRU Journal of Communication Chiangrai Rajabhat University, 2(3), 1–25. (in Thai)

[4] Maneewan, P. (2017). Application of Automated System in Packing Process: A Case Study of Flexible Printed Circuit Manufacturer, (Master's independent study, Thammasat University). (in Thai)

[5] Malaikaew, A., & Jaojaruek, K. (2020). Palletizing Robot Application in the Corrugated Box Industry. Applied Science and Engineering Progress, 13(4), 346–353.

[6] Policy Research Division, NSTDA. (2012). Study Report: The Robotics Industry in Thailand. National Science and Technology Development Agency. (in Thai)

[7] Wanpanit, B., & Wararattanatai, P. (2017). Economic Value Added Toward Beverage Business Using Backhaul Process of Reused Bottle. Journal of Logistics and Supply Chain College, 3(2), 46–54. (in Thai)

[8] RENUBOX. (n.d.). Custom Wrap-around Boxes. Available from: https://www.renubox. com/tailored-boxes/wrap-around-box/. Accessed date: 18 October 2026.

[9] Chiangthong, R., et al. (2022). Application of Tecnomatix Plant Simulation to Improve the Quality Inspection Process. Journal of Liberal Arts and Service Industry, 5(1), 374 –386. (in Thai)

[10] Panasri, J., et al. (2022). Application of Simulation Program to Increase Efficiency in Melamine Dish Production Process. Journal of Manufacturing and Management Technology, 1(1), 30–38. (in Thai)

[11] Baek, S., et al. (2024). A Simulation-Based Approach for Evaluating the Effectiveness of Robotic Automation Systems in HMR Product Loading. Foods, 13(19), 3121.

[12] Pedersen, K.-E. (2019). Master Brewers Packaging Line Companion. Scandinavian School of Brewing.

[13] Aummararum, S., & Nilrungsri, P. (2015). The Financial Analysis of Worthiness in Investing on Bag Making Machine Case Study: Siam City Cement Public Company Limited. In Academic Conference on Business and Management Innovation (p. 1763–1768). 19–20 September 2015, Khon Kaen, Thailand. (in Thai)

[14] ABB. (n.d.). IRB 660. Available from: https://www.abb.com/global/en/areas/robotics/ products/robots/articulated-robots/large-robots/irb-660. Accessed date: 18 October 2026).

[15] Zhang, Y., & Wang, Z. (2025). Review of Robotic Grippers for High-Speed Handling of Fragile Foods. Advanced Robotics, 39(17), 1054–1070.