Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2019

Modelling human network behaviour using simulation and optimization tools: the need for hybridization

  • Datos identificativos

    Identificador: RP:4680
  • Autores:

    Goldsman, David
    Juan, Angel A.
    de Armas, Jesica
    Gruler, Aljoscha
  • Otros:

    Autor según el artículo: Goldsman, David Juan, Angel A. de Armas, Jesica Gruler, Aljoscha
    Palabras clave: Modelling human behaviour
    Resumen: The inclusion of stakeholder behaviour in Operations Research / Industrial Engineering (OR/IE) models has gained much attention in recent years. Behavioural and cognitive traits of people and groups have been integrated in simulation models (mainly through agent-based approaches) as well as in optimization algorithms. However, especially the influence of relations between different actors in human networks is a broad and interdisciplinary topic that has not yet been fully investigated. This paper analyses, from an OR/IE point of view, the existing literature on behaviour-related factors in human networks. This review covers different application fields, including: supply chain management, public policies in emergency situations, and Internet-based human networks. The review reveals that the methodological approach of choice (either simulation or optimization) is highly dependent on the application area. However, an integrated approach combining simulation and optimization is rarely used. Thus, the paper proposes the hybridization of simulation with optimization as one of the best strategies to incorporate human behaviour in human networks and the resulting uncertainty, randomness, and dynamism in related OR/IE models.
    Año de publicación de la revista: 2019
    Tipo de publicación: ##rt.metadata.pkp.peerReviewed## info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article
  • Palabras clave:

    Modelling human behaviour
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