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Sequencing Games with Repeated Players

Sequencing games with repeated players
Authors: Arantza Estévez-Fernández; Peter Borm; Pedro Calleja; Herbert Hamers;

Sequencing Games with Repeated Players

Abstract

Consider a sequencing situation in which a finite set of players, \(N\), are assigned to a finite set of jobs, \(M\), in a certain sequence, \(s\), with an attached cost profile \(c(s)\). Let \((N, v)\) be the cooperative game associated with the sequencing situation, where \(v(S)\) maximizes cost savings for coalition \(S\) to fill all jobs. The paper considers two types of cooperative game: (1) max, in which case each player's cost is linear in maximum completion time of his jobs; (2) min, in which case each player's cost is linear in minimum completion time of his jobs. The paper constructs rule sequences such that both max and min have non-empty cores, and the job sequence so constructed is in the core. In addition, min is a convex game, and so has a large core.

Country
Netherlands
Keywords

Decision Sciences(all), Matching models, convexity, convex, core, SDG 8 - Decent Work and Economic Growth, sequencing, Management Science and Operations Research, Cooperative games, cooperative game theory;sequencing;equal gain splitting;core;convexity, equal gain splitting, cooperative game, cooperative game theory; sequencing; equal gain splitting; core; convexity, cooperative game theory, jel: jel:C71

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average
hybrid