Input and output consideration in the assignment and transportation problems

Abstract

Transportation and assignment problems are subject of extensive research focusing on the optimization of shipping routes and utilization of resources to decrease costs or increase profits. In this work, these approaches are generalized to cases with multiple inputs/outputs, while improving the discrimination power and reducing the computational complexity compared to the existing models. The applicability and strength of our model is also demonstrated by applying it to practical scenarios alongside these conventional approaches.