The Fleet and Berth Selection Model to Improve Energy and Environment Sustainability

Abstract

This research aims to improve energy sustainability in transportation management. The case was
derived from port-to-port coal transportation problem commonly faced by third-party logistic (3PL)
company. During planning, they must determine which shipsets to be used and assign them to the
loading/unloading berths. Each berth varies in terms of its loading/unloading speed and each shipset
varies in terms of its capacity, sail speed, and fuel consumption rate. The selection of shipset impacts
the auxiliary and main engine fuel consumption while the selection of berth impacts only the auxiliary
engine fuel consumption. The target is to minimize the total fuel consumed by both engines for the
whole shipset. We modelled the case through Multiple Vehicle Allocation Problem (MVAP)
framework and proposed a heuristic algorithm to find the solutions. The heuristic algorithm is proven
to be able to reach an optimal solution for small cases and near-optimal for medium to large cases.