The intelligent product driven supply chain

By Alia Ahmad Zaharudin, C. Wong, V. Agarwal, Duncan McFarlane, R. Koh. IEEE International Conference on Systems, Man and Cybernetics, 2002

309 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/86ce78b2a853be801627e093d9fc52542eb487b6

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. Edward Elson Kosasih
2. Jie Zhang
3. Angira Sharma
4. Alexandra Melike Brintrup
5. A. Calinescu

In Management Information Systems

1. Jan Holmström
2. Edward Elson Kosasih
3. Jie Zhang
4. Angira Sharma
5. Alexandra Melike Brintrup
6. A. Calinescu
7. Dmitry A. Ivanov
8. Alexandre Dolgui

Citations in the corpus

• Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions (2020, methodology): “…senses and captures information related only to a specific physical part and thus can be viewed as an instantiation of DT. • Intelligent Product [48, 83, 50]: A DT can be seen as an extension of Intelligent Product which uses the new technologies like IoT, Big Data and Machine Learning which were…”
• Single or dual sourcing: decision-making in the presence of supply chain disruption risks (2009, background): “[5] have found that today’s supply chains are built to be lean and efficient, but if they are unable to find alternatives quickly for unexpected disruptions, the chains will be susceptible to system shocks and disruptions.”
• Intelligent Products: A survey (2009, background): “[82] have de ned a two-level classi cation of intelligence.”