TY - GEN
T1 - Human Cognitive Reliability and R&D Efficiency
T2 - 21st International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2024, held as part of the 26th HCI International Conference, HCII 2024
AU - Li, Yuanjun
AU - Zhu, Mengya
AU - Chen, Dengkai
AU - Yu, Yiting
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - A qualified chip sensor determined for mass production must undergo rigorous development and verification on the pilot line. In this experimental process, the sensor performance, quality, and R&D efficiency deeply impact the subsequent progress in the industry. Most pilot lines rely on human(engineers)-machines collaboration because the full-automatic production line requires extremely high investment and does not meet the demand for flexible technique adjustments. Therefore, the operational differences of individual engineers will directly affect the product’s qualification rate. It requires the Process Design/Integration Engineers (PIE, as a manager role of the fab) to update the process flow or management strategies to improve the operator’s performance and reduce human error probability, thus lowering the time and economic cost. For exploratory purposes, this study investigated three Semiconductor pilot scale production lines and interviewed 17 participants with multiple roles in the fab. It summarized 10 Common Performance Conditions and the related secondary index for operators’ performance evaluation and discussed its results in relation to potential human reliability errors.
AB - A qualified chip sensor determined for mass production must undergo rigorous development and verification on the pilot line. In this experimental process, the sensor performance, quality, and R&D efficiency deeply impact the subsequent progress in the industry. Most pilot lines rely on human(engineers)-machines collaboration because the full-automatic production line requires extremely high investment and does not meet the demand for flexible technique adjustments. Therefore, the operational differences of individual engineers will directly affect the product’s qualification rate. It requires the Process Design/Integration Engineers (PIE, as a manager role of the fab) to update the process flow or management strategies to improve the operator’s performance and reduce human error probability, thus lowering the time and economic cost. For exploratory purposes, this study investigated three Semiconductor pilot scale production lines and interviewed 17 participants with multiple roles in the fab. It summarized 10 Common Performance Conditions and the related secondary index for operators’ performance evaluation and discussed its results in relation to potential human reliability errors.
KW - Human Cognitive Reliability
KW - Human Factor
KW - Semiconductor Production
UR - http://www.scopus.com/inward/record.url?scp=85196205219&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-60731-8_16
DO - 10.1007/978-3-031-60731-8_16
M3 - 会议稿件
AN - SCOPUS:85196205219
SN - 9783031607301
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 223
EP - 242
BT - Engineering Psychology and Cognitive Ergonomics - 21st International Conference, EPCE 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
A2 - Harris, Don
A2 - Li, Wen-Chin
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 29 June 2024 through 4 July 2024
ER -