Abstract
Scheduling jobs with different processing times and distinct known due dates on parallel machines (which may be idle) so as to minimise the total weighted earliness and tardiness is NP-hard. It occurs frequently in industrial settings with a just-in-time production environment. Here, small instances of this problem are tackled via an exact mixed-integer program, whereas larger instances are approximately solved using hybrid algorithms. The computational investigation discerns what makes a difficult instance, and demonstrates the efficiency of the approach.
Original language | English |
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Pages (from-to) | 2639-2664 |
Number of pages | 26 |
Journal | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH |
Volume | 50 |
Issue number | 10 |
DOIs | |
Publication status | Published - 15 May 2012 |
Keywords
- Genetic algorithms
- Heuristics
- Parallel machines
- Scheduling
- Simulated annealing