ABSTRACT
This chapter describes the Biased Random Key Genetic Algorithm 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. Cox-PH is a survival analysis technique which is a statistical method to find out how a particular variable acts the system and if it is statistically significant or not acting the performance of the system. Cox-PH model enables to control many variables simultaneously, which may be confusing if ANOVA or MANOVA are used. For addressing a real life situation with many more factors and interactions, first a pre-screening may be used to avoid over-fitting and under-fitting of the Cox-PH model to bring the number of factors to a level so that it best represents the supply chain under study.
