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https://hdl.handle.net/2183/46088

A New Shapley Value-Based Rule for Distributing Delay Costs in Stochastic Projects

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URI: https://hdl.handle.net/2183/46088
DOI: 10.1007/978-3-031-04137-2_2

Publication date

2023

Authors

Gonçalves-Dosantos, J.C.

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Bibliographic citation

Costa, J., García-Jurado, I., Gonçalves-Dosantos, J.C. (2023). A New Shapley Value-Based Rule for Distributing Delay Costs in Stochastic Projects. In: Balakrishnan, N., Gil, M.Á., Martín, N., Morales, D., Pardo, M.d.C. (eds) Trends in Mathematical, Information and Data Sciences. Studies in Systems, Decision and Control, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-031-04137-2_2

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Abstract

[Abstract]: In this paper we propose a new allocation rule for stochastic projects with delays based on the Shapley value and compare it with another Shapley value-based rule introduced in a recent paper. First we justify the interest of considering a new rule of this kind, then we compare it with the old one in some examples and finally we study some theoretical properties that distinguish them.

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This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-04137-2_2

Keywords

Shapley value Stochastic projects Delay costs Allocation rule

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https://doi.org/10.1007/978-3-031-04137-2_2

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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