TY  - JOUR
T1  - A Genetic Algorithm Procedure for Optimizing Supply Chain under
Quality Measures
AU - Lamiae, Douiri AU - Abdelouahhab, Jabri AU - El Barkany, Abdellah 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 23
SP  - 7214
EP  - 7222
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.7214.7222
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.7214.7222
KW  - Cost of quality
KW  -genetic algorithm
KW  -mathematical modelisation
KW  -supply chain
KW  -supply chain
KW  -illutrated
AB  - In this study, we study a model for computing the Cost of Quality (CoQ) across a single-product
three-echelon serial Supply Chain (SC). The proposed model deals with the impact of various parameters such
as inspection error rate, fraction defective at suppliers and rework rate on the CoQ function as well as the overall
quality level and the effect that these internal variables has on the CoQ categories according to the PAF
classification. A Genetic Algorithm (GA) based method was developed to optimize the model for determining
the optimal CoQ point that reduces costs for the whole supply chain while maintaining an overall quality level
QL. Results obtained from Genetic algorithms method are illustrated with numerical examples to highlight the
use of these parameters on SC and provide an aid for decision makers to select reliable suppliers and retailers
from among many and manage the cost of quality across the logistic route.
ER  -