Big data analytics for forecasting cycle time in semiconductor wafer fabrication system

J Wang, J Zhang - International Journal of Production Research, 2016 - Taylor & Francis
In order to improve the prompt delivery reliability of the semiconductor wafer fabrication
system, a big data analytics (BDA) is designed to predict wafer lots' cycle time (CT), which is …

Big data analytics for cycle time related feature selection in the semiconductor wafer fabrication system

J Wang, P Zheng, J Zhang - Computers & Industrial Engineering, 2020 - Elsevier
The dynamic wafer workshop gives rise to strong fluctuations of cycle time (CT) followed by
earliness or tardiness penalty. Comprehending these fluctuations is a major challenge as …

Big data driven cycle time parallel prediction for production planning in wafer manufacturing

J Wang, J Yang, J Zhang, X Wang… - Enterprise information …, 2018 - Taylor & Francis
Cycle time forecasting (CTF) is one of the most crucial issues for production planning to
keep high delivery reliability in semiconductor wafer fabrication systems (SWFS). This paper …

A hybrid approach combining fuzzy C-means-based genetic algorithm and machine learning for predicting job cycle times for semiconductor manufacturing

GM Lee, X Gao - Applied Sciences, 2021 - mdpi.com
Job cycle time is the cycle time of a job or the time required to complete a job. Prediction of
job cycle time is a critical task for a semiconductor fabrication factory. A predictive model …

Planning capacity and safety stocks in a serial production–distribution system with multiple products

F Ghadimi, T Aouam - European Journal of Operational Research, 2021 - Elsevier
This study jointly optimizes the production capacity and safety stocks in a serial production–
distribution system supplying multiple products under a guaranteed service approach (GSA) …

Serial production line performance under random variation: dealing with the 'Law of Variability'

R Romero-Silva, E Marsillac, S Shaaban… - Journal of Manufacturing …, 2019 - Elsevier
Abstract Many Queueing Theory and Production Management studies have investigated
specific effects of variability on the performance of serial lines since variability has a …

Building accurate emulators for stochastic simulations via quantile kriging

M Plumlee, R Tuo - Technometrics, 2014 - Taylor & Francis
Computer simulation has increasingly become popular for analysis of systems that cannot
be feasibly changed because of costs or scale. This work proposes a method to construct an …

Feature selection for waiting time predictions in semiconductor wafer fabs

K Schelthoff, C Jacobi, E Schlosser… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Based on real operational data from the Robert Bosch GmbH, we investigate influencing
features for waiting time estimation of operations in high product-mix/low-volume …

Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation

X Chen, Q Zhou - European Journal of Operational Research, 2017 - Elsevier
Stochastic kriging (SK) methodology has been known as an effective metamodeling tool for
approximating a mean response surface implied by a stochastic simulation. In this paper we …

A queue-based aggregation approach for performance evaluation of a production system with an AMHS

M Mohammadi, S Dauzère-Pérès, C Yugma… - Computers & Operations …, 2020 - Elsevier
Production planning optimization remains a major challenge in almost all industries,
particularly in high-tech manufacturing. A critical task to support such optimization is …