Data Driven Root Cause Analyses in Multistage Manufacturing Utilising Life Cycle Wide Product Information
Root cause analyses in multistage manufacturing represents inspiration for constant improvement of existing methodologies and implementation of new ones. Using quality information data from manufacturing stage and customer perception, robust model that can be utilized in line in actual manufacturing...
Main Authors: | Živorad Belić, Vidosav Majstorović, Dragan Đurđanović, Snežana Kirin |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2019-01-01
|
Series: | Tehnički Vjesnik |
Subjects: | |
Online Access: | https://hrcak.srce.hr/file/325798 |
Similar Items
-
Compensation-oriented quality control in multistage manufacturing processes
by: Jiao, Yibo
Published: (2012) -
Anomaly Identification in Multistage Manufacturing Process using Peer Comparison of Product Inspection Metrics
by: Tong, Xiaorui
Published: (2013) -
Step by Step Derivation of the Optimum Multistage Compression Ratio and an Application Case
by: Ignacio López-Paniagua, et al.
Published: (2020-06-01) -
A Minimal-Sensing Framework for Monitoring Multistage Manufacturing Processes Using Product Quality Measurements
by: Hossein Davari Ardakani, et al.
Published: (2018-01-01) -
Multistage Quality Control Using Machine Learning in the Automotive Industry
by: Ricardo Silva Peres, et al.
Published: (2019-01-01)