Scheduling parallel dedicated machines with the speeding‐up resource
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Publication:5393022
DOI10.1002/nav.20292zbMath1209.90174OpenAlexW2137796607MaRDI QIDQ5393022
Hans Kellerer, Vitaly A. Strusevich
Publication date: 15 April 2011
Published in: Naval Research Logistics (NRL) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nav.20292
Related Items (13)
Total completion time minimization for machine scheduling problem under time windows constraints with jobs' linear processing rate function ⋮ ONLINE SCHEDULING OF MIXED CPU-GPU JOBS ⋮ Scheduling on two identical machines with a speed-up resource ⋮ An improved algorithm for parallel machine scheduling under additional resource constraints ⋮ Restricted assignment scheduling with resource constraints ⋮ Approximation algorithms for scheduling on multi-core processor with shared speedup resources ⋮ Parallel machine scheduling with speed-up resources ⋮ Online Scheduling on a CPU-GPU Cluster ⋮ A combinatorial Benders decomposition algorithm for parallel machine scheduling with working-time restrictions ⋮ Scheduling jobs with time-resource tradeoff via nonlinear programming ⋮ Scheduling incompatible tasks on two machines ⋮ Production, maintenance and resource scheduling: a review ⋮ Parallel machine scheduling with additional resources: notation, classification, models and solution methods
Uses Software
Cites Work
- Unnamed Item
- Machine scheduling with resource dependent processing times
- A survey of results for sequencing problems with controllable processing times
- Single machine scheduling subject to deadlines and resource dependent processing times
- Scheduling problems for parallel dedicated machines under multiple resource constraints.
- Scheduling parallel dedicated machines under a single non-shared resource
- Single and two-resource allocation algorithms for minimizing the maximal lateness in a single machine
- Parallel machine scheduling with a convex resource consumption function
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