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.
Bernard Grabot; Bruno Vallespir; Samuel Gomes; Abdelaziz Bouras; Dimitris Kiritsis. IFIP International Conference on Advances in Production Management Systems, APMS 2014, Sep 2014, Ajaccio, France. Springer, IFIP Advances in Information and Communication Technology, AICT-440, pp.530-537, 2014, Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. 〈10.1007/978-3-662-44733-8_66〉
https://hal.inria.fr/hal-01387317
Contributeur : Hal Ifip
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Soumis le : mardi 25 octobre 2016 - 13:57:29
Dernière modification le : jeudi 11 janvier 2018 - 06:24:14
Philippe Thomas, Marie-Christine Suhner, André Thomas. CART for supply chain simulation models reduction. Bernard Grabot; Bruno Vallespir; Samuel Gomes; Abdelaziz Bouras; Dimitris Kiritsis. IFIP International Conference on Advances in Production Management Systems, APMS 2014, Sep 2014, Ajaccio, France. Springer, IFIP Advances in Information and Communication Technology, AICT-440, pp.530-537, 2014, Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. 〈10.1007/978-3-662-44733-8_66〉. 〈hal-01387317〉
