A Classification Framework for Time Stamp Stochastic Assignment Problems

Kees Kooiman,F. Phillipson,Alex Sangers

Published 2020 in International Conference on Operations Research and Enterprise Systems

ABSTRACT

In this paper Time-stamp Stochastic Assignment Problems are studied. These problems occur in places where an incoming request or task has to be connected to a resource immediately. A definition and framework for these problems is given, in which the different Time-stamp Stochastic Assignment Problems can be categorised. An explicit notation is introduced to distinguish the different categories. Several solution methods for Time-stamp Stochastic Assignment Problems are listed and their advantages and disadvantages are discussed.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    International Conference on Operations Research and Enterprise Systems

  • Publication date

    Unknown publication date

  • Fields of study

    Computer Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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