Genetic Algorithm for Multi-Level Assembly Systems under Stochastic Lead Times

Abstract : The aim of this paper is to propose models to adapt and parameterize the Material Requirement Planning (MRP) approach under lead time uncertainty. Multi-level assembly systems with one type of finished products and several types of components aer studied. Each component has a fixed unit inventory cost and the finished product has a backlogging cost per unit of time. The lead times of components are discrete random variables, and the costumer’s demand of the finished product is known. A general mathematical model for supply planning of multi-level assembly systems is presented. A Genetic Algorithm (GA) method is proposed to minimize the sum of the average inventory holding cost for components and the average backlogging and inventory holding costs for the finished product.
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Conference papers
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https://hal-emse.ccsd.cnrs.fr/emse-01083831
Contributor : Florent Breuil <>
Submitted on : Tuesday, November 18, 2014 - 10:23:37 AM
Last modification on : Thursday, October 17, 2019 - 12:36:12 PM

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Oussama Ben Ammar, Alexandre Dolgui, Hélène Marian. Genetic Algorithm for Multi-Level Assembly Systems under Stochastic Lead Times. 19th IFAC World Congress, Aug 2014, Cape Town, South Africa. p. 778-783, ⟨10.3182/20140824-6-ZA-1003.01522⟩. ⟨emse-01083831⟩

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