Key performance indicators for supply planning of multilevel serial systems with stochastic lead times

Faicel Hnaien 1 Alexandre Dolgui 2 Mohamed-Aly Louly 3
1 MSGI-ENSMSE - Département Méthodes Scientifiques pour la Gestion Industrielle
2 Laboratoire en Sciences et Technologies de l'Information
MSGI-ENSMSE - Département Méthodes Scientifiques pour la Gestion Industrielle
3 FARCAMT
Abstract : This paper examines a supply planning problem for multilevel serial production systems under lead time uncertainties. The techniques used in industry are often based on the assumption that the lead times are known. However, in a supply chain the lead times are often random variables. Therefore, it is necessary to evaluate the influence of the planned lead times on the total cost. An exact performance evaluation technique is developed to calculate the total cost as a function of the planned lead times when the actual lead times are random discrete variables. The sum of the average component holding and tardiness costs at each level, plus the average finished product backlogging cost is considered. Several properties of this function are proven. A numerical example is reported.
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Journal articles
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https://hal-emse.ccsd.cnrs.fr/emse-00673976
Contributor : Florent Breuil <>
Submitted on : Friday, February 24, 2012 - 4:03:26 PM
Last modification on : Thursday, October 17, 2019 - 12:36:37 PM

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  • HAL Id : emse-00673976, version 1

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DEMO-ENSMSE | FAYOL-ENSMSE | UR-LSTI-ENSMSE | ROGI-ENSMSE | MSGI-ENSMSE | EMSE | G2I-ENSMSE | INSTITUT-TELECOM

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Faicel Hnaien, Alexandre Dolgui, Mohamed-Aly Louly. Key performance indicators for supply planning of multilevel serial systems with stochastic lead times. Control and Cybernetics, Polish Academy of Sciences, 2010, 39 (1), p. 133-148. ⟨emse-00673976⟩

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