Product lifecycle management

By Claus-Michael Seiler. Wirtschaftsinf., 2006

607 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/2af58c6fb3f03435e8da10e5d1d80adbe6ddf0f3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Fei Tao
2. Qinglin Qi
3. Ying Cheng
4. Chris Snider
5. David Edward Jones
6. Aydin Nassehi
7. Ben J. Hicks
8. Jason Yon

Citations in the corpus

• Characterising the Digital Twin: A systematic literature review (2020, methodology): “If this is where the Digital Twin is envisaged, Figure 8 shows where research effort is focused through the classification of papers against Starks’ product life-cycle [82] of: Imagine, Define, Realise, Support/Use, Retire/Dispose.”
• Big Data in product lifecycle management (2015, background): “These above phases can be divided into three periods: beginning of life (BOL), middle of life (MOL), and end of life (EOL) [51].”
• Digital twin-driven product design, manufacturing and service with big data (2017, background): “PLM is the activity that enables a company to grow revenues by improving innovation, reducing time-to-market for new products, and providing superb support and new services for existing products, as well as enables better support of customers’ use of products [1].”