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 .
Document type :
Conference papers
Complete list of metadatas

https://hal-emse.ccsd.cnrs.fr/emse-01063244
Contributor : Florent Breuil <>
Submitted on : Thursday, September 11, 2014 - 4:31:17 PM
Last modification on : Monday, January 14, 2019 - 12:08:18 PM

Identifiers

  • HAL Id : emse-01063244, version 1

Citation

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⟩

Share

Metrics

Record views

220