Abstract
Recently, in the field of project scheduling problems the concept of partially renewable resources has been introduced. Theoretically, it is a generalization of both renewable and non-renewable resources. From an applied point of view, partially renewable resources allow us to model a large variety of situations that do not fit into classical models, but can be found in real problems in timetabling and labour scheduling. When modelling real problems, the problem of project scheduling with partially renewable resources, as many other combinatorial problems, gets such large dimensions that it is quite difficult to apply solution procedures. In this paper, we describe some powerful preprocessing techniques that reduce significantly the dimension of the problems and therefore improve the efficiency of any algorithm used for solving them.
The paper shows the excellent results obtained by these techniques on a set of test instance taken from the literature.
References
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