Optimizing configuration of supply chain with survival assessment model

Tung Sun Chan, B. Niu, A. Nayak, R. Raj, M. K. Tiwari

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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 languageEnglish
Title of host publicationTesting and Measurement
Subtitle of host publicationTechniques and Applications - Proceedings of the 2015 International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015
PublisherCRC Press/Balkema
Pages287-290
Number of pages4
ISBN (Print)9781138028128
Publication statusPublished - 1 Jan 2015
EventInternational Conference on Testing and Measurement: Techniques and Applications, TMTA 2015 - Phuket Island, Thailand
Duration: 16 Jan 201517 Jan 2015

Conference

ConferenceInternational Conference on Testing and Measurement: Techniques and Applications, TMTA 2015
Country/TerritoryThailand
CityPhuket Island
Period16/01/1517/01/15

Keywords

  • BRKGA
  • Cox-PH model
  • Optimization
  • Supply chain configuration
  • Survival analysis

ASJC Scopus subject areas

  • Computer Science(all)

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