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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [19 references]  Display  Hide  Download

https://hal.inria.fr/hal-01387317
Contributor : Hal Ifip <>
Submitted on : Tuesday, October 25, 2016 - 1:57:29 PM
Last modification on : Thursday, January 11, 2018 - 6:24:14 AM

File

978-3-662-44733-8_66_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

268

Files downloads

63