A Genetic Local Search Algorithm for Supply Planning of Two Level ...

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Dec 16, 2012 (4 years and 6 months ago)

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Industrial Engineering and Computer Sciences Division (G2I)

A SUPPLY PLANNING
FOR TWO-LEVEL ASSEMBLY SYSTEMS
WITH RANDOM LEAD
TIMES : GENETIC ALGORITHM

F. HNAIEN, X. DELORME, A. DOLGUI


Avril 2008

RESEARCH REPORT
2008-500-002





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Centre G2I
Génie Industriel et Informatique

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Ecole Nationale Supérieure des Mines de Saint-Etienne
Centre G2I
158, Cours Fauriel
42023 SAINT-ETIENNE CEDEX 2
France

A Supply Planning for Two-Level Assembly Systems with Random Lead
Times: Genetic Algorithm
Faicel Hnaien, Xavier Delorme, Alexandre Dolgui*

Industrial Engineering and Computer Science Centre (G2I)
Ecole des Mines de St Etienne, 158, cours Fauriel, 42023 Saint Etienne, France
hnaien@emse.fr, delorme@emse.fr, dolgui@emse.fr


Abstract
This paper examines supply planning for two level assembly systems under lead time uncertainties. It is
supposed that the demand for the finished product and its due date are known. The assembly process at each
level begins when all necessary components are in inventory. If the demand for the finished product is not
delivered at the due date, a tardiness cost is incurred. In the same manner, a holding cost at each level appears if
some components to assembly the same semi-finished product arrive before beginning the assembly at this level.
It is assumed also that the lead time at each level is a random discrete variable. The expected cost is composed of
the tardiness cost for finished product and the holding costs of components at levels 1 and 2. The objective is to
find the release dates for the components at level 2 in order to minimize the total expected cost.
For this new problem, a genetic algorithm is suggested. The proposed algorithm is evaluated with a variety of
supply chain settings in order to verify its robustness across different supply chain scenarios. Moreover, the
effect of a local search on the performance of the Genetic Algorithm in terms of solution quality, convergence
and computation time is also investigated.

Keywords:
Assembly Systems, Stochastic Lead Times, Supply Planning, Genetic algorithm

*corresponding author: Prof. A. Dolgui, Ph.:+33(0)477420166 Fax:+33(0)477426666
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Ecole Nationale Supérieure des Mines de Saint-Etienne
Centre G2I
158, Cours Fauriel
42023 SAINT-ETIENNE CEDEX 2

www.emse.fr