Integrated Inventory Models with Process Quality Improvement under Imperfect Quality and Carbon Emissions

2016 ◽  
Author(s):  
Kuo-Lung Hou ◽  
Li-Chiao Lin ◽  
Yung-Fu Huang
Keyword(s):  
Quality Improvement ◽  
Carbon Emissions ◽  
Process Quality ◽  
Inventory Models ◽  
Imperfect Quality ◽  
Integrated Inventory

scholarly journals Process quality improvement through collaboration in synchronized individual production companies

Procedia CIRP ◽  
2018 ◽  
Vol 67 ◽  
pp. 589-594 ◽  
Author(s):  
Hannes Elser ◽  
Christian Fimmers ◽  
Sebastian Groggert ◽  
Robert H. Schmitt ◽  
Christian Brecher
Keyword(s):  
Quality Improvement ◽  
Process Quality

scholarly journals Deep learning enhanced digital twin for Closed-Loop In-Process quality improvement

CIRP Annals ◽  
2020 ◽  
Vol 69 (1) ◽  
pp. 369-372
Author(s):  
Pasquale Franciosa ◽  
Mikhail Sokolov ◽  
Sumit Sinha ◽  
Tianzhu Sun ◽  
Dariusz Ceglarek
Keyword(s):  
Quality Improvement ◽  
Deep Learning ◽  
Closed Loop ◽  
Process Quality ◽  
Digital Twin

THE USE OF FMEA IN PROCESS QUALITY IMPROVEMENT

1995 ◽  
Vol 02 (01) ◽  
pp. 103-115 ◽  
Author(s):  
MANI JANAKIRAM ◽  
J. BERT KEATS
Keyword(s):  
Quality Improvement ◽  
Failure Mode ◽  
Design Process ◽  
Process Quality ◽  
Process Characterization ◽  
Improvement Programs ◽  
Characterization Studies ◽  
Quality Improvement Programs

Failure Mode and Effects Analysis (FMEA) is well-known as a useful tool in the design process. It is used by some engineers as part of process characterization studies. Yet FMEA is virtually ignored in most process quality improvement paradigms. We suggest its use in quality improvement programs and indicate where it belongs and how it can be applied.

Practical example of a coating process quality improvement through designed experiments

2000 ◽  
Vol 72 (6) ◽  
pp. 73-79
Author(s):  
B. Scibilia ◽  
A. Kobi ◽  
R. Chasssagnon ◽  
A. Barreau
Keyword(s):  
Quality Improvement ◽  
Process Quality ◽  
Coating Process ◽  
Designed Experiments
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