Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications

By Christodoulos A. Floudas, Xiaoxia Lin. Annals of Operations Research, 2005

436 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/c3fecbd5bbb1c34714d4359fe8012633b2c5d8e6

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1. P. Lopez
2. Oumar Koné
3. Ashutosh Tiwari
4. C. Artigues
5. Yisheng Zou
6. Jianlin Fu
7. Jian Zhang
8. M. Mongeau

Citations in the corpus

• Business Process Analysis and Optimization: Beyond Reengineering (2008, background): “Floudas and Lin [ 20 ] present an overview of the developments of MILP-based approaches for scheduling and observe increasing application of the formal MILP optimization”
• Comparison of mixed integer linear programming models for the resource-constrained project scheduling problem with consumption and production of resources (2012, background): “Specific MILP formulations were proposed for batch plant scheduling, including time-indexed, sequence-based, and event-based formulations (see among others [28, 17, 13, 34]).”
• Review of job shop scheduling research and its new perspectives under Industry 4.0 (2017, background): “Recently, Neto and GodinhoFilho (2013) focused on the applications of Ant Colony Optimization approach and Floudas and Lin (2005) themed on AI solution strategies in JSP.”