Bayesian heterogeneous assembly time modeling for robotic performance prediction

Bayesian heterogeneous assembly time modeling for robotic performance prediction

Robotic systems are widely applied in manufacturing industry to reduce labor cost and increase productivity. Due to the influence of different observed factors (e.g., controllable robotic settings) and the unobserved heterogeneity caused by the unobserved/unknown factors (e.g., material non-uniformi...

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Bibliographic Details
Main Authors: Mingyang LI, Xuxue SUN, Guoyuan LIANG, Yingjun SHEN, Qingpeng ZHANG, Yachun FENG
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2021-01-01
Series:Journal of Advanced Mechanical Design, Systems, and Manufacturing
Subjects:
bayesian modeling
population heterogeneity
hazard regression
gibbs sampler
process improvement
Online Access:https://www.jstage.jst.go.jp/article/jamdsm/15/1/15_2021jamdsm0007/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/jamdsm/15/1/15_2021jamdsm0007/_pdf/-char/en

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