Solving Large Sustainable Supply Chain Networks Using Variational Inequalities
نویسندگان
چکیده
In this paper, we explore a new approach to computational sustainability based on variational inequalities (VIs). Our challenge is to compute the steady state behaviors of networks of supply chains with possibly conflicting objectives. VIs provide a way to handle this problem of modeling large networks with numerous conflicting goals. Given the size of real-world networks, suitable algorithms must be selected that can scale with the dimension of the problems. In this paper, we explore the effectiveness of novel Runge-Kutta methods to find equilibrium solutions to two real-world sustainable supply chain problems. The first is an emissions conscious freightage network and the second is a blood banking system with perishable blood donations and stochastic
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