Development of a Dynamic Information Fractal Framework to Monitor and Optimise Sustainability in Food Distribution Network

Abstract

Abstract The aim of this research paper is to develop a new framework for an information fractal to improve the food distribution network sustainability through two variables; Greenfield service constraints and minimum vehicle weight fill level on board. This paper applies the proposed framework to a hypothetical distribution network. Further, Supply Chain GURU Software is adapted to implement Greenfield analysis to identify the optimal number and location for setting up the new facilities through different Greenfield service constraints. A new Green Split Delivery-Vehicle Routing Problem also is developed to minimise CO2 emission and implemented using the simulated annealing algorithm. The results revealed that the proposed dynamic control system has led to an enhancement in both collaboration and integration to decide upon the optimal number and location of distribution facilities as well as optimal vehicle weight fill levels to improve the sustainability throughout the food distribution chain.