Abstract : This paper proposes a methodology for analyzing lead time behavior. The method focuses on identifying whether lead times are in fact identically independently distributed (i.i.d.). The method uses a combination of time series analysis, Kolmogorov-Smirnov’s test for similar distributions and data sampling to arrive at its result. The method is applied to data obtained from a manufacturing company. The conclusions are that while the lead time to customers can for some products be assumed to be i.i.d. this is not uniformly true. Some products’ lead times are in fact neither independently nor identically distributed.
Type de document :
Communication dans un congrès
Bernard Grabot; Bruno Vallespir; Samuel Gomes; Abdelaziz Bouras; Dimitris Kiritsis. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2014, Ajaccio, France. Springer, IFIP Advances in Information and Communication Technology, AICT-438 (Part I), pp.435-442, 2014, Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. 〈10.1007/978-3-662-44739-0_53〉
https://hal.inria.fr/hal-01388573
Contributeur : Hal Ifip
<>
Soumis le : jeudi 27 octobre 2016 - 11:37:30
Dernière modification le : mardi 24 avril 2018 - 16:16:02
Peter Nielsen, Zbigniew Michna, Ngoc Do. An Empirical Investigation of Lead Time Distributions. Bernard Grabot; Bruno Vallespir; Samuel Gomes; Abdelaziz Bouras; Dimitris Kiritsis. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2014, Ajaccio, France. Springer, IFIP Advances in Information and Communication Technology, AICT-438 (Part I), pp.435-442, 2014, Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. 〈10.1007/978-3-662-44739-0_53〉. 〈hal-01388573〉
