Cost allocation for a tree network with heterogeneous customers

Daniel Granot*, Jeroen Kuipers, Sunil Chopra

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

We analyze a cost allocation problem which could naturally arise from a situation wherein a tree network T = (N ∪ {0}, E), serving heterogeneous customers, has to be constructed. The customers, located at N, require some service from a central supplier, located at vertex 0. The customers have heterogeneous preferences for the level or quality of service received from the central supplier. We formulate the above cost allocation problem as a cooperative game, referred to as an extended tree game. The extended tree game is a proper extension of Megiddo's (1978) tree game, wherein all the customers have identical preferences regarding the level of service received. We prove that an extended tree game is convex, and we show that its Shapley value can be computed in @(p|N|) time, where p is the number of distinct preference levels. We further provide a complete facial description of the core polytope of an extended tree game, and demonstrate that even when there are only two classes of customers, the number of nonredundant core constraints could be exponential in |N|. Nevertheless, we are able to construct an @(p|N|) algorithm to check the core membership of an arbitrary cost allocation, which can be used to construct an @(p|N|3) combinatorial algorithm to compute the nucleolus of an extended tree game. Finally, we show that the complements of the facet-defining coalitions for the core are all connected in an auxiliary tree graph with node set N.

Original languageEnglish (US)
Pages (from-to)647-661
Number of pages15
JournalMathematics of Operations Research
Volume27
Issue number4
DOIs
StatePublished - Nov 2002

Keywords

  • Convex game
  • Cooperative game
  • Facets
  • Nucleolus
  • Polytope
  • Shapley value
  • Strongly polynomial algorithm

ASJC Scopus subject areas

  • Mathematics(all)
  • Computer Science Applications
  • Management Science and Operations Research

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