@article{MAKHILLJEAS2017122315282,
    title = {A Genetic Algorithm Procedure for Optimizing Supply Chain under
Quality Measures},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {23},
    pages = {7214-7222},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.7214.7222},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.7214.7222},
    author = {Douiri,Jabri and},
    keywords = {Cost of quality,genetic algorithm,mathematical modelisation,supply chain,supply chain,illutrated},
    abstract = {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.}
    }