TY - GEN
T1 - Advancing Mass Customization Through GPT Language Models
T2 - International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023
AU - An, Jiabao
AU - Liu, Taimingwang
AU - Chen, Yi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - The Fourth Industrial Revolution, characterized by advancements in artificial intelligence and the emergence of technologies such as Chat Generative Pre-training Transformers (ChatGPT), has significantly impacted the manufacturing sector. This paper seeks to elucidate the foundational methodology of Industry 4.0 and explicate the transition process toward its adoption, with a focus on manufacturing and mass customization. The challenges associated with achieving high levels of both volume and mix in manufacturing processes have led to the predominance of High Mix Low Volume (HMLV) and Low Mix High Volume (LMHV) market environments. In response, mass customization has gained prominence, seeking to balance efficiency, and personalization in the production of goods and services. This paper proposes a potential approach for facilitating the transition to Industry 4.0 principles through the utilization of ChatGPT, a cutting-edge artificial intelligence tool for communication. Additionally, the study discusses the limitations associated with the ChatGPT application and outlines future prospects and expectations for its role in enhancing manufacturing flexibility and enabling mass customization.
AB - The Fourth Industrial Revolution, characterized by advancements in artificial intelligence and the emergence of technologies such as Chat Generative Pre-training Transformers (ChatGPT), has significantly impacted the manufacturing sector. This paper seeks to elucidate the foundational methodology of Industry 4.0 and explicate the transition process toward its adoption, with a focus on manufacturing and mass customization. The challenges associated with achieving high levels of both volume and mix in manufacturing processes have led to the predominance of High Mix Low Volume (HMLV) and Low Mix High Volume (LMHV) market environments. In response, mass customization has gained prominence, seeking to balance efficiency, and personalization in the production of goods and services. This paper proposes a potential approach for facilitating the transition to Industry 4.0 principles through the utilization of ChatGPT, a cutting-edge artificial intelligence tool for communication. Additionally, the study discusses the limitations associated with the ChatGPT application and outlines future prospects and expectations for its role in enhancing manufacturing flexibility and enabling mass customization.
KW - Customization
KW - GPT language models
KW - Personalized marketing
UR - http://www.scopus.com/inward/record.url?scp=85187794301&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-8498-5_3
DO - 10.1007/978-981-99-8498-5_3
M3 - Conference Proceeding
AN - SCOPUS:85187794301
SN - 9789819984978
T3 - Lecture Notes in Networks and Systems
SP - 27
EP - 40
BT - Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023
A2 - Tan, Andrew
A2 - Zhu, Fan
A2 - Jiang, Haochuan
A2 - Mostafa, Kazi
A2 - Yap, Eng Hwa
A2 - Chen, Leo
A2 - Olule, Lillian J. A.
A2 - Myung, Hyun
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 22 August 2023 through 23 August 2023
ER -