Parallel machines scheduling with nonsimultaneous machine available time
Discrete Applied Mathematics
Capacitated two-parallel machines scheduling to minimize sum of job completion times
Discrete Applied Mathematics
Approximation algorithms for bin packing: a survey
Approximation algorithms for NP-hard problems
Minimizing the makespan in the two-machine no-wait flow-shop with limited machine availability
Computers and Industrial Engineering
Single-machine scheduling with periodic maintenance and nonresumable jobs
Computers and Operations Research
Scheduling two-stage hybrid flow shop with availability constraints
Computers and Operations Research
Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints
Computers and Industrial Engineering
Minimizing the sum of job completion times on capacitated parallel machines
Mathematical and Computer Modelling: An International Journal
Minimizing total completion time on a single machine with a flexible maintenance activity
Computers and Operations Research
Minimizing the number of tardy jobs in a single-machine scheduling problem with periodic maintenance
Computers and Operations Research
Computers and Industrial Engineering
Minimizing maximum tardiness and delivery costs in a batched delivery system
Computers and Industrial Engineering
Integrated production scheduling and maintenance policy for robustness in a single machine
Computers and Operations Research
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This paper considers a single-machine scheduling problem with several maintenances periods. Specifically, two situations are investigated. In the first one, maintenance periods are periodically fixed: maintenance is required after a periodic time interval. In the second one, the maintenance is not fixed but the maximum continuous working time of the machine which is allowed is determined. The objective is to minimize the maximum tardiness. These problems are known to be strongly NP-hard. We propose some dominance properties and an efficient heuristic. Branch-and-bound algorithms, in which the heuristics, the lower bounds and the dominance properties are incorporated, are proposed and tested computationally.