This research aims to enhance industrial pipe welding quality management decision support processes from both an operational and tactical ...
This research aims to enhance industrial pipe welding quality management decision support processes from both an operational and tactical management level ...
This research aims to enhance industrial pipe welding quality management decision support processes from both an operational and tactical management level ...
Bayesian inference was used in pipe frication or welding for evaluating operator welding-quality performance (Ji et al , 2019) and improving quality management ...
“Simulation-based analytics for quality control decision support: A pipe welding case study” by the Journal of Computing in Civil Engineering on October 23 ...
Multiple descriptive and predictive analytical functionalities are developed to support and augment quality-associated decision-making processes. These include ...
Missing: Study. | Show results with:Study.
2018. Simulation-based analytics for quality control decision support: Pipe welding case study. W Ji, SM AbouRizk. J. Comput. Civ. Eng 32 (3), 05018002, 2018.
Simulation-Based Analytics for Quality Control Decision Support: Pipe Welding Case Study · Engineering, Computer Science. J. Comput. Civ. Eng. · 2018.
This study proposed a methodological framework to analyze the quality control process employing Monte Carlo simulation. The methodology consists of four steps: ...
and AbouRizk, S., Simulation-Based Analytics for Quality Control Decision Support: Pipe Welding. Case Study, Journal of Computing in Civil Engineering, ASCE ...