@inproceedings{75e2ed2f78ac4775a1ba0d57b908fa17,
title = "Optimizing configuration of supply chain with survival assessment model",
abstract = "This paper adopts Biased Random Key Genetic Algorithm (BRKGA) to optimize the configuration of a robust supply chain for decision making using survival analysis. To perform proportional hazard class of survival analysis, Cox-PH model is developed to compare the significance of structural and logistics flexibility. Illustrative simulation models are provided to demonstrate different aspects of the proposed methodology.",
keywords = "BRKGA, Cox-PH model, Optimization, Supply chain configuration, Survival analysis",
author = "Chan, \{Felix T.S.\} and B. Niu and A. Nayak and R. Raj and Tiwari, \{M. K.\}",
note = "Funding Information: The work described in this paper was supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU 510311); the NSFC (Project No. 71471158); and The Hong Kong Scholars Program Mainland?Hong Kong Joint Postdoctoral Fellows Program (Project No.: G-YZ24). The authors also would like to thank the Hong Kong Polytechnic University Research Committee for financial and technical support. Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis Group, London.; International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015 ; Conference date: 16-01-2015 Through 17-01-2015",
year = "2015",
month = jan,
doi = "10.1201/b18470",
language = "English",
isbn = "9781138028128",
series = "Testing and Measurement: Techniques and Applications - Proceedings of the 2015 International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015",
publisher = "CRC Press Balkema",
pages = "287--290",
editor = "Kennis Chan",
booktitle = "Testing and Measurement",
edition = "1",
}