This paper aims to propose an inventory routing problem for a transportation system of daily necessities. Recently, daily demand can be forecast by big data analysis. Daily delivery according to forecast demand increases transportation cost, and mass transportation increases inventory cost at each shop. In this paper, we propose a metaheuristics on an inventory routing problem for a transportation system of daily necessities and clarified the characteristics of this heuristics.
inventory routing problem
big data
daily necessities