Presents practical applications of stochastic mixed integer programming for integrated decision-making in supply chain disruption management Uses computational examples for commercially available software Has end-of-chapter problems, examples and managerial insights in all chapters
Read More
Presents practical applications of stochastic mixed integer programming for integrated decision-making in supply chain disruption management Uses computational examples for commercially available software Has end-of-chapter problems, examples and managerial insights in all chapters
Read Less