Circular supply chain analytics with anyLogistix

Sustainability has become a popular term that is closely related to the principles of the circular economy. The circular economy aims to reduce the use of new natural resources by implementing various business models. Companies are increasingly adopting circular economy principles due to customer demand, regulations, and a desire to enhance their brand value. Businesses can help preserve natural resources and promote environmental regeneration by adopting circular economy concepts, transforming their linear supply chain into a circular supply chain. However, designing a circular supply chain for a product can be challenging, as it requires visualising the interaction between different supply chain partners and analysing its performance.

anyLogistix is a leading supply chain analytics software that streamlines the design, optimisation, and analysis of a company’s supply chain operations. It integrates powerful analytical optimisation and simulation methodologies to provide a platform for end-to-end supply chain analytics.

By combining simulation and optimisation techniques, anyLogistix enables companies to design and analyse the performance of a circular supply chain without actually implementing it in a real business.

This beginner’s course provides an excellent foundation for learners to understand the concept of sustainability, its different types, and how it relates to the circular economy. It explains various business models that companies use to implement circular economy principles. One of the business models is then used to develop a comprehensive circular supply chain in anyLogistix. The course starts by developing a greenfield model that focuses on locating distribution centres and factories based on customer locations and demands. The outcome of the greenfield analysis is then used to develop a distribution centre, factory, recycling facility, and landfill network to optimise profits. Finally, a simulation model is developed to optimise inventory policies, profits, and revenue. The course provides a comprehensive explanation of how to analyse the simulation results.