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Clustering Human Decision-Making in Production and Logistic Systems

  • Christos TsagkalidisEmail author
  • Rémy Glardon
  • Maryam Darvish
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 459)

Abstract

Human decisions play an essential role in Operations and Supply Chain Management. However, these decisions are rarely integrated in simulation models of Production and Logistic Systems. One main reason for this fact is the strong dispersion of human decisions among a population, as well as the variability of a single individual’s decision over time. This work presents an experimental study of a human decision consisting in the dynamic selection of suppliers in a well-controlled laboratory environment. The analysis of the results obtained on a large population shows that individual decision behaviors can be grouped into representative clusters typifying different decision behaviors. The results obtained from this study opens up the prospect to significantly reduce the number of decision models required to simulate Production and Logistic Systems including human decisions and could also allow categorizing human decision behavior based on a set of known criteria.

Keywords

Decision-making Behavioral operations management Cluster analysis 

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Christos Tsagkalidis
    • 1
    Email author
  • Rémy Glardon
    • 1
  • Maryam Darvish
    • 2
  1. 1.Laboratory for Production Management and ProcessesSwiss Federal Institute of Technology at Lausanne (EPFL)LausanneSwitzerland
  2. 2.Faculté des Sciences de l’AdministrationUniversité LavalQuébecCanada

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