@inproceedings{6038ab7c5a5042f988dd59e225534455,
title = "Selection of supplier portfolio in the presence of operational risk and disruption risk",
abstract = "In a make-to-order environment, manufactures should make preparations for production to fulfill stochastic customers' demand at low costs and risk levels. This research focuses on two risk levels: operational risks and disruption risks, and correspondingly, two kinds of evaluation models-value at risk and conventional value at risk-is presented to qualify them. Then, conventional criteria are incorporated into a multi-objective model with hybrid risks. The proposed GA-based approach is able to balance these objectives during supplier portfolio selection and order allocation. Finally, computational examples are presented to illustrate how the decision is made.",
keywords = "Disruption risk, genetic algorithm, operational risk",
author = "Xiangxiang Liao and Chao Fang",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 ; Conference date: 06-12-2015 Through 09-12-2015",
year = "2016",
month = jan,
day = "18",
doi = "10.1109/IEEM.2015.7385963",
language = "英语",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
publisher = "IEEE Computer Society",
pages = "1825--1829",
booktitle = "IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management",
}