Implications of Complex Adaptive Logistics Systems on Green Logistics

In today’s fast-paced globalized world, logistics competence has become the need of the day. The high volume of movement of goods across the globe has led to an added emphasis on transportation and supply chain integration. Logistics technology has advanced and along with it the volume of global trade has risen significantly. However, these advancements have come at the expense of our environment. Atmospheric CO2 levels substantially contributed by vehicle emissions are on the rise. The industry has realized the imperativeness of discovering ways and means of adopting “greener” processes. This paper questions the utilization of smart parts in a complex adaptive logistics system (CALS) in place of current traditional logistics systems in order to reduce the atmospheric CO2 footprint. The technique of agent based modelling is adopted and the main aim of this paper is to model a CALS which can then be simulated in order to judge the impacts of CALS on CO2 levels. The final output of this paper is a baseline model proposed for simulation which is representative of a CALS.