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Project scheduling problems with both resource constraints and uncertain task durations have applications in a variety of industries.
A project scheduling problem is used as the case study.
The Software Project Scheduling Problem is a specific Project Scheduling Problem present in many industrial and academic areas.
We propose a min-flow algorithm for detecting Minimal Critical Sets (MCS) in Resource Constrained Project Scheduling Problems (RCPSP).
This research introduces a problem called resource-constrained project scheduling problem with alternative activity chains, which is inspired from project scheduling practice.
The Multi-mode Resource Constrained Project Scheduling Problem (MRCPSP) is one of the most important problems in the context of project scheduling.
A Project Scheduling Problem consists in deciding who does what during the software project lifetime.
Performance prediction of TBMs is an essential part of project scheduling and cost estimation.
This paper presents a genetic algorithm for the Resource-Constrained Project Scheduling Problem (RCPSP).
Resource constrained project scheduling is critical in logistic and planning operations across a range of industries.
This paper considers a type of project scheduling problem with fuzzy activity duration times.
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