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A polynomial algorithm for the MPS parameterization under uncertainty

Abstract : The aim of this paper is to study the supply planning of assembly systems under lead times uncertainty. The target is to minimize the sum of the average holding cost for the components and the setup cost, while keeping a desired service level. A further analysis of the Periodic Ordering Quantity policy (POQ) is given. The decision variables are the planned lead times of components and the periodicity of the POQ policy. A mathematical method, which gives the optimal values for these parameters, is given.
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https://hal-emse.ccsd.cnrs.fr/emse-00708728
Contributor : Florent Breuil <>
Submitted on : Friday, June 15, 2012 - 3:45:24 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:44 PM

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Mohamed Aly Ould Louly, Alexandre Dolgui. A polynomial algorithm for the MPS parameterization under uncertainty. 15th IFAC World Congress, Jul 2002, Barcelone, Spain. p. 19-24, ⟨10.3182/20020721-6-ES-1901.00491⟩. ⟨emse-00708728⟩

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