Fast algorithms to minimize the makespan or maximum lateness in the two-machine flow shop with release times.
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Publication:1347602
DOI10.1002/jos.94zbMath1115.90336OpenAlexW2067880102MaRDI QIDQ1347602
George Steiner, Jinliang Cheng, Paul Stephenson
Publication date: 27 July 2003
Published in: Journal of Scheduling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/jos.94
Polyhedral combinatorics, branch-and-bound, branch-and-cut (90C57) Deterministic scheduling theory in operations research (90B35)
Related Items (4)
A robust approach for the single machine scheduling problem ⋮ Pareto optima for total weighted completion time and maximum lateness on a single machine ⋮ An empirical analysis of heuristics for solving the two-machine flow shop problem with job release times ⋮ A new sufficient condition of optimality for the two-machine flowshop problem
Cites Work
- An adaptive branching rule for the permutation flow-shop problem
- The one-machine sequencing problem
- An algorithm for single machine sequencing with release dates to minimize total weighted completion time
- Two branch and bound algorithms for the permutation flow shop problem
- A branch-and-bound algorithm with fuzzy inference for a permutation flowshop scheduling problem
- A polynomial approximation scheme for problem \(F2/r_ j/C_{\text{max}}\)
- Benchmarks for basic scheduling problems
- Optimal two- and three-stage production schedules with setup times included
- Minimising makespan in the two-machine flow-shop with release times
- Analysis of Heuristics for Two-Machine Flow-Shop Sequencing Subject to Release Dates
- A General Bounding Scheme for the Permutation Flow-Shop Problem
- A Polynomial Approximation Scheme for a Constrained Flow-Shop Scheduling Problem
- A computational study with a new algorithm for the three-machine permutation flow-shop problem with release times
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