CART for supply chain simulation models reduction - Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World - Part III Access content directly
Conference Papers Year : 2014

CART for supply chain simulation models reduction

Abstract

Evaluation of supply chain or workshop management is often based on simulation. This simulation task needs models which are difficult to design. The aim of this work is to reduce the complexity of simulation model design and to partially automate this task by combining discrete and continuous approaches in order to construct more efficient and reduced model. Model design focuses on bottlenecks with a discrete approach according to the theory of constraints. The remaining of the workshop is modeled in a less precise way by using continuous model in order to describe only how the bottlenecks are fed. This used continuous model is a regression tree algorithm. For validation, this approach is applied to the modeling of a sawmill workshop and the results are compared with results obtained previously by using a neural network model.
Fichier principal
Vignette du fichier
978-3-662-44733-8_66_Chapter.pdf (362.09 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01387317 , version 1 (25-10-2016)

Licence

Attribution

Identifiers

Cite

Philippe Thomas, Marie-Christine Suhner, André Thomas. CART for supply chain simulation models reduction. IFIP International Conference on Advances in Production Management Systems, APMS 2014, Sep 2014, Ajaccio, France. pp.530-537, ⟨10.1007/978-3-662-44733-8_66⟩. ⟨hal-01387317⟩
162 View
125 Download

Altmetric

Share

Gmail Facebook X LinkedIn More