Sharing delay costs in stochastic scheduling problems with delays

Autor: Julián Costa, J. C. Gonçalves-Dosantos, Ignacio García-Jurado
Rok vydání: 2020
Předmět:
Zdroj: 4OR. 18:457-476
ISSN: 1614-2411
1619-4500
DOI: 10.1007/s10288-019-00427-9
Popis: An important problem in project management is determining ways to distribute amongst activities the costs that are incurred when a project is delayed because some activities end later than expected. In this study, we address this problem in stochastic projects, where the durations of activities are unknown but their corresponding probability distributions are known. We propose and characterise an allocation rule based on the Shapley value, illustrate its behaviour by using examples, and analyse features of its calculation for large problems.
Databáze: OpenAIRE