@article{Dejakaisaya2026157,

title = {Application of Monte Carlo Simulation to the Safety Risk Management of Runway Excursions at a Level 1 Airport in Southeast Asia},

author = {Teedanai Dejakaisaya and Parames Chutima},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105033284663&doi=10.4186%2fej.2026.30.2.157&partnerID=40&md5=f6de92bf2944e791582fa5773e8288f6},

doi = {10.4186/ej.2026.30.2.157},

year  = {2026},

date = {2026-01-01},

journal = {Engineering Journal},

volume = {30},

number = {2},

pages = {157 – 181},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Detsangiamsak2025278,

title = {Information System Development for Passenger Tire Release Management},

author = {Naiyarat Detsangiamsak and Parames Chutima},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017125659&doi=10.3233%2fATDE250542&partnerID=40&md5=4b35b8b4e4a53aad3affeb639e35c08a},

doi = {10.3233/ATDE250542},

year  = {2025},

date = {2025-01-01},

journal = {Advances in Transdisciplinary Engineering},

volume = {73},

pages = {278 – 286},

note = {Cited by: 0; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chaiprabha2025124734,

title = {Advancing Industry 5.0: Collaborative Welding Robotics With Precision, Safety, and Flexibility},

author = {Kantawatchr Chaiprabha and Gridsada Phanomchoeng and Parames Chutima and Ninshu Ma and Kaamutsup Sungkaksem and Setthibhak Suthithanakom and Ratchatin Chancharoen},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010974144&doi=10.1109%2fACCESS.2025.3588515&partnerID=40&md5=6f03438cbeb02c50ebb4c142610da7ec},

doi = {10.1109/ACCESS.2025.3588515},

year  = {2025},

date = {2025-01-01},

journal = {IEEE Access},

volume = {13},

pages = {124734 – 124751},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This study presents a digital twin-based seam correction framework for collaborative robotic laser welding. The framework addresses key manufacturing challenges, including dimensional inconsistencies, motion inversion, and lightweight part deformation, which significantly impact welding quality. Digital twin technology enables comprehensive analysis and supports real-time deviation monitoring and compensation. Experimental results demonstrate a reduction in maximum seam deviation from 2.9 mm to <0.2 mm, achieving an average deviation <0.1 mm. The system ensures precise laser beam positioning, leading to waterproof welding. Bézier curves are used in the seam correction, providing a flexible and scalable approach. This research contributes to improving welding accuracy and adaptability in flexible production environments while minimizing resource consumption and material waste. © 2013 IEEE.},

note = {Cited by: 1; All Open Access, Gold Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kankaew2025105,

title = {Utilizing Six Sigma for Effective Pore Defect Reduction in Plastic Water Tanks},

author = {Panathorn Kankaew and Parames Chutima},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009237652&doi=10.4028%2fp-S08yFc&partnerID=40&md5=6b0e1815d436ff9d84da28355632c5f8},

doi = {10.4028/p-S08yFc},

year  = {2025},

date = {2025-01-01},

journal = {Key Engineering Materials},

volume = {1016},

pages = {105 – 112},

publisher = {Trans Tech Publications Ltd},

abstract = {Plastic water tanks made from FDA-approved Polyethylene (PE) are widely used due to their advantageous qualities, including being free of heavy metals, UV-stable, odorless, durable, and suitable for food-grade applications. A rotational molding process creates a smooth inner surface without corners, reducing dirt adhesion. However, a case study revealed pore defects on the outer surface of the tanks, compromising UV stability and customer satisfaction. This study aims to address these pore defects by establishing new standards and improving both internal processes and external factors affecting mold heating. Utilizing Six Sigma methodology, the study employs data analysis and design of experiments (DOE) to identify and regulate critical parameters affecting the manufacturing process. The Six Sigma approach, which encompasses the Define, Measure, Analyze, Improve, and Control (DMAIC) phases, was applied to enhance process capability, minimize variations and machine errors, reduce waste, and increase customer satisfaction. By effectively addressing the root causes of porosity defects, the study aims to improve processes and enhance product quality. © 2025 Trans Tech Publications Ltd, All Rights Reserved.},

note = {Cited by: 0; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Piamsak2025315,

title = {Defective Reduction in Assembly Process of Sound Absorption Insulator Part Missing in Car Body Metal by Six Sigma Approach},

author = {Thaywan Piamsak and Parames Chutima},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017119483&doi=10.3233%2fATDE250546&partnerID=40&md5=41a0d4668bd0553fcbceba96acf450eb},

doi = {10.3233/ATDE250546},

year  = {2025},

date = {2025-01-01},

journal = {Advances in Transdisciplinary Engineering},

volume = {73},

pages = {315 – 326},

note = {Cited by: 0; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tananuchittikul202537,

title = {Public Charging Station for Electric Vehicles in Thailand: A Comprehensive Practical Roaming Service Model},

author = {Waranthorn Tananuchittikul and Parames Chutima},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105016517152&doi=10.4186%2fej.2025.29.8.37&partnerID=40&md5=d704caee92cc9ca29696103ceef1d59a},

doi = {10.4186/ej.2025.29.8.37},

year  = {2025},

date = {2025-01-01},

journal = {Engineering Journal},

volume = {29},

number = {8},

pages = {37 – 66},

note = {Cited by: 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Nanatsawasin2025287,

title = {Efficiency Enhancement of Waste Fuel Preparation Process for Steam Production System of Circulating Fluidized Bed Boiler},

author = {Jennarong Nanatsawasin and Parames Chutima},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017113708&doi=10.3233%2fATDE250543&partnerID=40&md5=10dc2fb705a8a60daa4f959211673e93},

doi = {10.3233/ATDE250543},

year  = {2025},

date = {2025-01-01},

journal = {Advances in Transdisciplinary Engineering},

volume = {73},

pages = {287 – 294},

note = {Cited by: 0; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sriviboon2025,

title = {A gamification training system designed according to a mental model structure: A case study of universal robots},

author = {Yada Sriviboon and Arisara Jiamsanguanwong and Parames Chutima and Oran Kittithreerapronchai},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105022936760&doi=10.1038%2fs41598-025-27670-x&partnerID=40&md5=f9365896439f79e1bac5b3fb328bf14e},

doi = {10.1038/s41598-025-27670-x},

year  = {2025},

date = {2025-01-01},

journal = {Scientific Reports},

volume = {15},

number = {1},

note = {Cited by: 0; All Open Access, Gold Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chutima2024271,

title = {In-house part supply logistics optimisation based on the workforce’s ergonomic strain and environmental considerations},

author = {Parames Chutima and Chayanee Prakong},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198020619&doi=10.1504%2fIJISE.2024.139553&partnerID=40&md5=05e25a7b92bc012a4966d908ba26be76},

doi = {10.1504/IJISE.2024.139553},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Industrial and Systems Engineering},

volume = {47},

number = {3},

pages = {271 – 310},

publisher = {Inderscience Publishers},

abstract = {This paper focused on in-house part supply logistics adopted by an automotive manufacturer to make just-in-time deliveries of parts from a supermarket to mixed-model serpentine-shaped assembly lines without shortage. Five objectives are optimised simultaneously, i.e., minimising the total number of tours, minimising the number of tow train drivers, minimising the energy expenditure load discrepancy among tow train drivers, minimising the total inventory kept at the border of the line and minimising the total PM2.5 emission released by a fleet of tow trains. The mathematical model is formulated for the problem. Due to its NP-hard in nature, multi-objective metaheuristics have to be developed for solving practical-sized problem instances. As a result, the non-dominated sorting teaching-learning-based optimisation III (NSTLBO III) which is a hybrid of the non-dominated sorting genetic algorithm III (NSGA III) and teaching-learning-based optimisation (TLBO) is proposed to solve the problem. The results show that NSTLBO III outperforms NSGA III and the multi-objective evolutionary algorithm based on decomposition (MOEA/D) in terms of qualitative, convergence-related and comprehensive metrics. Copyright © 2024 Inderscience Enterprises Ltd.},

note = {Cited by: 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}