Fuzzy operational decision-making process in urban freight transport

Abstract

This article presents a fuzzy process for operational decision-making on the freight pick-up and delivery. It allows assessing the impact of uncertainty conditions presented in urban context variables such as time windows, service time, reacting available time, on the distribution routes. We use the fuzzy decision process to assess customers' requirements on a daily urban freight. The process supports the decision-making for accepting or rejecting the requests. It considers a notable key index, the impact level on the route. This index assesses the current values of the input variables. The changes are accepted when the impact level on the route is lower than 0.25.