Abstract
This study is concerned with multistage logistic network optimization under disruption risk. In its development, we consider three types of logistic network models, i.e., the multi-multi allocation, multi-single allocation and single-single allocation model. These logistic models are formulated as respective mixed-integer programming models with the expected cost function. Commercial software is then applied to find the optimal solutions. Moreover, defining a metric to stand for a certain service level or simplicity of network, we show a procedure to derive a final decision through morphological analysis. Through a numerical experiment, we show that the proposed idea is promising for use to design a resilient logistic network available for business continuity plan/management.
