A Classification Framework for Time Stamp Stochastic Assignment Problems

Kees Kooiman, Frank Phillipson, Alex Sangers

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.

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Paper Citation


in Harvard Style

Kooiman K., Phillipson F. and Sangers A. (2020). A Classification Framework for Time Stamp Stochastic Assignment Problems.In Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-396-4, pages 129-137. DOI: 10.5220/0008871701290137


in Bibtex Style

@conference{icores20,
author={Kees Kooiman and Frank Phillipson and Alex Sangers},
title={A Classification Framework for Time Stamp Stochastic Assignment Problems},
booktitle={Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2020},
pages={129-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008871701290137},
isbn={978-989-758-396-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - A Classification Framework for Time Stamp Stochastic Assignment Problems
SN - 978-989-758-396-4
AU - Kooiman K.
AU - Phillipson F.
AU - Sangers A.
PY - 2020
SP - 129
EP - 137
DO - 10.5220/0008871701290137