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**On the computational complexity of (maximum) shift class scheduling.**
*(English)*
Zbl 0776.90038

Summary: We consider a generalization of the Fixed Job Scheduling Problem (FSP) which appears in a natural way in the aircraft maintenance process at an airport. A number of jobs has to be carried out, where the main attributes of a job are: a fixed start time, a fixed finish time and a value representing the priority of the job. For carrying out these jobs a number of machines is available. These machines are available in specific time intervals (shifts) only. A job can be carried out by a machine only if the interval between the start time and the finish time of the job is a subinterval of the shift of the machine. Furthermore, the jobs must be carried out in a non-preemptive way and each machine can be carrying out at most one job at the same time.

Within this setting one can ask for a feasible schedule for all jobs or, if such a schedule does not exist, for a feasible schedule for a subset of jobs of maximum total value. In this paper a classification of the computational complexity of two classes of combinatorial problems related to these questions is presented.

Within this setting one can ask for a feasible schedule for all jobs or, if such a schedule does not exist, for a feasible schedule for a subset of jobs of maximum total value. In this paper a classification of the computational complexity of two classes of combinatorial problems related to these questions is presented.

### MSC:

90B35 | Deterministic scheduling theory in operations research |

90C60 | Abstract computational complexity for mathematical programming problems |

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\textit{A. W. J. Kolen} and \textit{L. G. Kroon}, Eur. J. Oper. Res. 64, No. 1, 138--151 (1993; Zbl 0776.90038)

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### References:

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