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Conference Papers Year : 2014

Genetic algorithm for multi-level assembly systems under stochastic lead times

Abstract

The aim of this paper is to propose tools to adapt and parameterize the Material Requirement Planning (MRP) method under lead time uncertainty. We study multi - level assembly systems with one type of finished products and severa l types of components. We consider that 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 p roduct 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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Dates and versions

emse-01063244 , version 1 (11-09-2014)

Identifiers

  • HAL Id : emse-01063244 , version 1

Cite

Oussama Ben-Ammar, Alexandre Dolgui, Hélène Marian. Genetic algorithm for multi-level assembly systems under stochastic lead times. The 19th World Congress of The International Federation of Automatic Control, Aug 2014, Cape Town, South Africa. 6p. ⟨emse-01063244⟩
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