A Classification Framework for Time Stamp Stochastic Assignment Problems

Kees Kooiman; Frank Phillipson; Alex Sangers

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Paper

A Classification Framework for Time Stamp Stochastic Assignment Problems

Topics: Optimization; Scheduling; Simulation; Stochastic Optimization; Stochastic Processes

In Proceedings of the 9th International Conference on Operations Research and Enterprise Systems ICORES - Volume 1, 129-137, 2020 , Valletta, Malta

Authors: Kees Kooiman ¹ ; Frank Phillipson ² and Alex Sangers ²

Affiliations: ¹ Erasmus University, Rotterdam, The Netherlands ; ² Netherlands Organisation for Applied Scientific Research (TNO), Den Haag, The Netherlands

Keyword(s): Assignment, Time-stamp Stochastic Assignment Problem, Classification Framework, Simulation Algorithms.

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 several formats:

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 - ICORES; ISBN 978-989-758-396-4; ISSN 2184-4372, SciTePress, pages 129-137. DOI: 10.5220/0008871701290137

@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 - ICORES},
year={2020},
pages={129-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008871701290137},
isbn={978-989-758-396-4},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES
TI - A Classification Framework for Time Stamp Stochastic Assignment Problems
SN - 978-989-758-396-4
IS - 2184-4372
AU - Kooiman, K.
AU - Phillipson, F.
AU - Sangers, A.
PY - 2020
SP - 129
EP - 137
DO - 10.5220/0008871701290137
PB - SciTePress