Minimum Fuel Resource Distribution in Multidimensional Logistic Networks Governed by Base-Stock Inventory Policy

Abstract

The paper addresses the problem of fuel-efficient resource redistribution in logistic networks in the phase preceding the engagement of market relations. In the considered class of systems, two types of entities – external sources and controlled nodes – form a complex interconnection structure. The flow of resources is governed using the classical base-stock inventory policy deployed in a distributed way. The optimization objective is to dynamically adjust the reference stock level at the controlled nodes so that excessive goods traffic is avoided while preparing the network for the customer demand in a latter, active market phase. The discrete-time finite-horizon optimization problem is solved analytically, which allows one to express the pattern of reference stock adaptation in a straightforward to implement, closed form. The derivations are validated by numerical tests.