A review note on control chart systems for monitoring multi-stage and multi-stream manufacturing systems

2016 ◽  
Vol 24 (4) ◽  
pp. 423
Author(s):  
M. Shamsuzzaman
Keyword(s):  
Control Chart ◽  
Manufacturing Systems ◽  
Multi Stage

scholarly journals Oversizing Thread Diagnosis in Tapping Operation

Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 537
Author(s):  
Alain Gil Del Val ◽  
Fernando Veiga ◽  
Mariluz Penalva ◽  
Miguel Arizmendi
Keyword(s):  
Control Chart ◽  
Manufacturing Systems ◽  
Spindle Motor ◽  
Multivariate Statistical ◽  
Statistical Process ◽  
Knowing That ◽  
On Line ◽  
High Level ◽  
Screw Threads ◽  
Multivariate Control

Automotive, railway and aerospace sectors require a high level of quality on the thread profiles in their manufacturing systems knowing that the tapping process is a complex manufacturing process and the last operation in a manufacturing cell. Therefore, a multivariate statistical process control chart, for each tap, is presented based on the principal components of the torque signal directly measured from spindle motor drive to diagnosis the thread profile quality. This on-line multivariate control chart has implemented an alarm to avoid defected screw threads (oversized). Therefore, it could work automatically without any operator intervention assessing the thread quality and the safety is guaranteed during the tapping process.

scholarly journals Multidomain Simulation Model for Analysis of Geometric Variation and Productivity in Multi-Stage Assembly Systems

2020 ◽  
Vol 10 (18) ◽  
pp. 6606
Author(s):  
Sergio Benavent Nácher ◽  
Pedro Rosado Castellano ◽  
Fernando Romero Subirón ◽  
José V. Abellán-Nebot
Keyword(s):  
Manufacturing Systems ◽  
Production Quality ◽  
Assembly Systems ◽  
New Era ◽  
Multistage Manufacturing ◽  
Multi Stage ◽  
Potential Applicability ◽  
Stream Of Variation ◽  
Manufacturing Environments ◽  
Geometric Variation

Nowadays, the new era of industry 4.0 is forcing manufacturers to develop models and methods for managing the geometric variation of a final product in complex manufacturing environments, such as multistage manufacturing systems. The stream of variation model has been successfully applied to manage product geometric variation in these systems, but there is a lack of research studying its application together with the material and order flow in the system. In this work, which is focused on the production quality paradigm in a model-based system engineering context, a digital prototype is proposed to integrate productivity and part quality based on the stream of variation analysis in multistage assembly systems. The prototype was modelled and simulated with OpenModelica tool exploiting the Modelica language capabilities for multidomain simulations and its synergy with SysML. A case study is presented to validate the potential applicability of the approach. The proposed model and the results show a promising potential for future developments aligned with the production quality paradigm.

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