Mixed-Integer Programming Models for Flowshop Scheduling Problems Minimizing the Total Earliness and Tardiness
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Publication:2958669
DOI10.1007/978-1-4614-1123-9_5zbMath1355.90028OpenAlexW2169334805MaRDI QIDQ2958669
Ernesto G. Birgin, Débora P. Ronconi
Publication date: 3 February 2017
Published in: Just-in-Time Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-1-4614-1123-9_5
Related Items (9)
MILP models for the optimization of real production lines ⋮ Mixed integer programming formulations for two-machine flow shop scheduling with an availability constraint ⋮ Matheuristics for the flowshop scheduling problem with controllable processing times and limited resource consumption to minimize total tardiness ⋮ Mixed integer programming models for job shop scheduling: A computational analysis ⋮ Solving non-permutation flow-shop scheduling problem via a novel deep reinforcement learning approach ⋮ Method of rescheduling for hybrid production lines with intermediate buffers ⋮ Flowshop scheduling problem with parallel semi-lines and final synchronization operation ⋮ Near-optimal heuristics for just-in-time jobs maximization in flow shop scheduling ⋮ A filtered beam search method for the \(m\)-machine permutation flowshop scheduling problem minimizing the earliness and tardiness penalties and the waiting time of the jobs
Uses Software
Cites Work
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- Benchmarks for scheduling on a single machine against restrictive and unrestrictive common due dates
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