A Bilevel Optimization Model for Supply Chain Scheduling Using Evolutionary Algorithms

This paper addresses a supply chain scheduling problem with consideration of production and transportation operations. This problem is formulated as a bilevel mixed integer nonlinear program. An evolution-strategy-based bilevel optimization model is developed to handle this problem. The performance of the proposed model is evaluated by numerical experiments based on real-world data and industrial-size problems. Experimental results show that the proposed model can solve the investigated problem effectively.