scholarly journals Product Life Cycle Analytics – Next Generation Data Analytics on Structured and Unstructured Data

Procedia CIRP ◽  
2015 ◽  
Vol 33 ◽  
pp. 35-40 ◽  
Author(s):  
Laura Kassner ◽  
Christoph Gröger ◽  
Bernhard Mitschang ◽  
Engelbert Westkämper
Keyword(s):  
Life Cycle ◽  
Data Analytics ◽  
Product Life Cycle ◽  
Unstructured Data ◽  
Next Generation ◽  
Product Life

Value chain for next-generation biofuels: resilience and sustainability of the product life cycle

2016 ◽  
Vol 37 (1) ◽  
pp. 22-33 ◽  
Author(s):  
Zachary A. Collier ◽  
Elizabeth B. Connelly ◽  
Thomas L. Polmateer ◽  
James H. Lambert
Keyword(s):  
Life Cycle ◽  
Value Chain ◽  
Product Life Cycle ◽  
Next Generation ◽  
Product Life

Application of Data Analytics in Gas Turbine Engines

2019 ◽  
Author(s):  
Danteswara Rao Taluru ◽  
Rajendra Prasad Uppara Allabanda
Keyword(s):  
Life Cycle ◽  
Gas Turbine ◽  
Data Analytics ◽  
Product Life Cycle ◽  
Fold Increase ◽  
Aircraft Engine ◽  
Test Case ◽  
Product Life ◽  
The Future ◽  
Using Data

Abstract In recent years, Aerospace technology has seen a paradigm shift towards Data analytics. Design, manufacturing, aftermarket and operations found importance of data analytics in reducing cost. Manufactures are developing Data Analytic based tools which help in optimizing their processes and reduce lead time. Engine, aircraft manufactures along with airliners are working together to improve customer experience. This paper, covers topics related to engine manufactures point of view. Engine manufactures can apply data analytics in concept initiation, concept optimization, preliminary, detailed and validation phases. Manufactures can optimize supply chain management using data analytics. Major gas turbine manufactures are persistent to enhance intelligence in aerospace product life cycle. Data analytics in aerospace engineering also helps in making predictions based upon descriptive patterns from huge data. Since, the aircraft industry is expecting a seven-fold increase in air traffic by 2050. The future demand of aircraft engine production would drive industries to adopt to big data in helping decision making and dynamic production capabilities. This paper helps in identifying different data analytics application in gas turbine product life cycle. Specifically in aero thermal discipline, which would help in increasing efficiency, optimizing design and result in reducing cost. This paper takes the reader through the application of gas turbine as a systematic and concise article. The future scope of the paper would include a test case explaining the application more in detail using data analytics.

scholarly journals The Digital Shadow as Enabler for Data Analytics in Product Life Cycle Management

Procedia CIRP ◽  
2019 ◽  
Vol 80 ◽  
pp. 729-734 ◽  
Author(s):  
Michael Riesener ◽  
Günther Schuh ◽  
Christian Dölle ◽  
Christian Tönnes
Keyword(s):  
Life Cycle ◽  
Data Analytics ◽  
Product Life Cycle ◽  
Life Cycle Management ◽  
Product Life ◽  
Product Life Cycle Management ◽  
Digital Shadow
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