Generating maximum value from your supply chain.
Every supply chain is unique and even organisations in similar industries will have very different challenges. ‘Optimising’ supply chains has long been a goal for businesses and today, there are many solutions that offer tools to model supply chains with various degrees of complexity. Unfortunately most solutions have a very narrow scope and they tend to focus mainly on costs rather than considering the ‘total value’ that can be derived from the supply chain. However, there are a new set of solutions that use ‘optimisation’ – a branch of mathematics that uses complex algorithms to analyse data and identify the best available solution taking into account chosen constraints – to analyse simultaneously the vast amounts of data involved in each leg of the supply chain. What this means in reality is that it is now possible to optimise the supply chain as one entity as opposed to attempting to optimise each leg in isolation. To understand how optimisation can add value, let us consider a simple supply chain case. This example simulates a real-life situation and uses tangible data to demonstrate how optimisation can help you.