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.
| Original language | English |
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| Title of host publication | Testing and Measurement |
| Subtitle of host publication | 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 |
| Number of pages | 4 |
| ISBN (Print) | 9781138028128 |
| Publication status | Published - 1 Jan 2015 |
| Event | International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015 - Phuket Island, Thailand Duration: 16 Jan 2015 → 17 Jan 2015 |
Conference
| Conference | International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015 |
|---|---|
| Country/Territory | Thailand |
| City | Phuket Island |
| Period | 16/01/15 → 17/01/15 |
Keywords
- BRKGA
- Cox-PH model
- Optimization
- Supply chain configuration
- Survival analysis
ASJC Scopus subject areas
- General Computer Science