Authors
Florian Mischek, Nysret Musliu
Publication date
2018/11/29
Publisher
Technical report, Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling, TU Wien, CD-TR 2018/1
Description
This report introduces a real-world scheduling problem arising in an industrial test laboratory. It is related to the well-known Resource Constraint Project Scheduling Problem (RCPSP), which it extends by several additional constraints and objectives, as well as a novel form of grouping smaller activities to larger units to reduce operational overheads. In addition to a formal definition of the problem, the report includes a description of an instance generator which can be used to create random instances based on real-world data for this problem. Two such generated instance sets with different characteristics are provided.
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