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A POLYNOMIAL ALGORITHM FOR THE MPS PARAMETERIZATION UNDER UNCERTAINTY
Mohamed-Aly Ould-Louly and Alexandre Dolgui
Lab. of Industrial Systems Optimization
University of Technology of Troyes
12, Marie Curie st., BP2060, 10010 Troyes cedex, France
ph: +33 (0)325715879, fax: +33 (0)325715649
e-mail: {louly, dolgui}@utt.fr
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.
Keywords: Manufacturing systems, Planning, Inventory Control, Optimization
Session slot T-Tu-M19: Production & Supply-Chain Management Models/Area code 1c : Manufacturing Modelling, Management and Control
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