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Scheduling and Optimization Algorithms

Scheduling and Optimization Algorithms is a research topic within Industrial and Manufacturing Engineering. Science Explorer counts 42k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on scheduling problems in manufacturing systems, particularly addressing issues such as setup times, batching, dynamic scheduling, energy efficiency, and multi-objective optimization. It explores various techniques including genetic algorithms, agent-based control, and hybrid optimization to improve scheduling efficiency and effectiveness in manufacturing processes.

  • Scheduling
  • Manufacturing
  • Flexible Job-shop
  • Genetic Algorithm
  • Agent-based Control
  • Energy-efficient
  • Hybrid Optimization
  • Flowshop Sequencing
  • Dynamic Scheduling
  • Multi-objective
Research works
42k
fractional, since 1950
In the world top 10%
4.2k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+21%
the tick is no change
Largest producer
China
47% of the 10 largest, 2022-now
Scheduling and Optimization Algorithms

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