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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/13137

Title: MRP parameterization under lead times uncertainties: Case of multilevelserial production systems
Authors: Hnaien, F.
Dolgui, A.
Louly, M.A.
Keywords: Discrete model; MRP environment; Multilevel production system; Random leadtimes; Supply planning
Issue Date: 2009
Publisher: IEEE
Citation: International Conference on Computers and Industrial Engineering, CIE 2009, art. # 5223765, pp. 863-868.
Abstract: A supply planning for multilevel serial production systems under lead timeuncertainties is considered. The techniques used in industry are often based onthe assumption that the lead times are known. However, in a supply chain thelead times are often random variables. Therefore, it is necessary to find thebest values of the planned lead times minimising the total cost. It is supposedthat the demand for the finished product and its due date are known. It isassumed also that the component lead time at each level is a random discretevariable. No restrictive hypothesis is made on such random variables; only thatone supposes that the distribution probabilities are known. Therefore, wedevelop an efficient model to aid in MRP parameterization under lead timeuncertainties, more precisely to calculate planned lead times when the componentprocurement times are random. The aim is to find the values of planned leadtimes which minimize the total cost and satisfy customers. We consider thecriterion to minimize the average holding and tardiness costs at each levelwhile respect the customer service level. The proposed approach is based on amathematical model of this problem with discrete decision variables. Severalproperties of the objective function are proven.
URI: http://hdl.handle.net/123456789/13137
ISSN: 978-142444136-5
Appears in Collections:College of Engineering

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