Cycle stock optimisation in the fractal supply network

The aim of this research paper is to investigate the effect of replenishment frequencies on both transportation and inventory holding costs in the fractal supply network. This enables the practitioners to optimise the cycle stock at different stages of the supply network including inventory and transportation costs. Fractal supply network and mathematical models of cycle stock, inventory and transportation models are developed. The proposed mathematical models and a hypothetical fractal supply network are implemented and validated using Supply Chain GURU Software, in order to optimise cycle stock at different stages of the proposed supply network and in turn minimise both inventory and transportation costs.