TY - GEN
T1 - Current State, Potentials and Challenges for the Use of Artificial Intelligence in the early Phase of Product Development
T2 - 2024 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2024
AU - Steininger, S.
AU - Camci, H.
AU - Fottner, J.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The boom in Artificial Intelligence (AI) technologies is opening up new opportunities in engineering. A variety of novel tools are flooding the market every day. However, integration into the industry processes is happening at a slow pace. This paper represents a survey conducted with 163 industrial engineers on the use of AI in product development. The questionnaire specifically focuses on the early phase of product development and investigates the current state, challenges and potentials. The results show a high level of interest in the use of AI, but integration into everyday working processes has been low so far. Among the few who incorporate AI into their concept development processes, an indication to shorter concept development times was observed. The automation of routine tasks and a conflicting requirements detection are seen as particularly promising AI applications. Main challenges and barriers lie in the expertise of employees, the costs of implementation and the usability of data. Nevertheless, more than two thirds state that further AI integration is planned. The focus here is particularly on generative AI.
AB - The boom in Artificial Intelligence (AI) technologies is opening up new opportunities in engineering. A variety of novel tools are flooding the market every day. However, integration into the industry processes is happening at a slow pace. This paper represents a survey conducted with 163 industrial engineers on the use of AI in product development. The questionnaire specifically focuses on the early phase of product development and investigates the current state, challenges and potentials. The results show a high level of interest in the use of AI, but integration into everyday working processes has been low so far. Among the few who incorporate AI into their concept development processes, an indication to shorter concept development times was observed. The automation of routine tasks and a conflicting requirements detection are seen as particularly promising AI applications. Main challenges and barriers lie in the expertise of employees, the costs of implementation and the usability of data. Nevertheless, more than two thirds state that further AI integration is planned. The focus here is particularly on generative AI.
KW - Artificial Intelligence
KW - Early Design Phase
KW - Engineering Design
KW - Survey
UR - http://www.scopus.com/inward/record.url?scp=85218034269&partnerID=8YFLogxK
U2 - 10.1109/IEEM62345.2024.10857061
DO - 10.1109/IEEM62345.2024.10857061
M3 - Conference contribution
AN - SCOPUS:85218034269
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 551
EP - 555
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2024
PB - IEEE Computer Society
Y2 - 15 December 2024 through 18 December 2024
ER -