Skip to Main content Skip to Navigation
Conference papers

Clustering Human Decision-Making in Production and Logistic Systems

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.
Complete list of metadatas

Cited literature [13 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01417508
Contributor : Hal Ifip <>
Submitted on : Thursday, December 15, 2016 - 4:33:38 PM
Last modification on : Thursday, March 5, 2020 - 4:42:15 PM
Document(s) archivé(s) le : Thursday, March 16, 2017 - 4:25:05 PM

File

346972_1_En_44_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Christos Tsagkalidis, Rémy Glardon, Maryam Darvish. Clustering Human Decision-Making in Production and Logistic Systems. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2015, Tokyo, Japan. pp.356-364, ⟨10.1007/978-3-319-22756-6_44⟩. ⟨hal-01417508⟩

Share

Metrics

Record views

161

Files downloads

155