Equipping Students to Reduce Lead Times: The Role of Queuing-Theory-Based Modeling

Détails

ID Serval
serval:BIB_D94823452ED9
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Equipping Students to Reduce Lead Times: The Role of Queuing-Theory-Based Modeling
Périodique
Interfaces
Auteur(s)
de Treville S., van Ackere A.
ISSN
0092-2102
Statut éditorial
Publié
Date de publication
2006
Peer-reviewed
Oui
Volume
36
Numéro
2
Pages
165-173
Langue
anglais
Résumé
Time is power. A company that gets products to its customers faster than its competitors strengthens its market position; therefore management students should learn how to reduce lead times. The counterintuitive mathematical principles that drive lead time and the complex system dynamics of operations management make the skills of reducing lead times difficult to teach. Mathematical modeling (queuing-theory or simulation-based) is an effective tool for teaching these skills. In evaluating modeling approaches in the classroom, it is important to consider model quality and student affective outcomes, such as motivation and empowerment. Queuing-theory-based models increase students' abilities to reduce lead times more than simulation-based models. Using a classic teaching case, we compare the two approaches.
Mots-clé
Professional, OR/MS education, Queues, Simulation
Web of science
Création de la notice
03/06/2008 10:52
Dernière modification de la notice
03/03/2018 21:52
Données d'usage