A survey of problems, solution techniques, and future challenges in scheduling semiconductor manufacturing operations

By L. Mönch, John W. Fowler, Stéphane Dauzère-Pérès, Scott Jennings Mason, O. Rose. Journal of Scheduling, 2011

446 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/68831b4cb9ce5225ba498a6aa792dfca04d23ed3

How researchers see this paper

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

1. Alessandro Beghi
2. Simone Pampuri
3. Andrea Schirru
4. Gian Antonio Susto
5. Seán F. McLoone
6. Weiting Zhang
7. Thorsten Wuest

Citations in the corpus

• Machine Learning for Predictive Maintenance: A Multiple Classifier Approach (2015, background): “The increasing availability of data is changing the way decisions are taken in industry [17] in important areas such as scheduling [15], maintenance management [24] and quality improvement [6], [23].”