industryopinion
First responder In order to identify and respond to issues in your supply chain, you need as near to traffic light levels of visibility as possible. Visualising and responding to problems in a supply chain is a multi-party process. If a current supplier is facing issues, businesses must be able to communicate with their customers, freight operators and vendors, being brought in to alleviate the issue, all at once. Whilst technologies such as Robotic Process Automation can help to orchestrate the back end, without an integrated and collaborative data environment, assisted with AI and machine learning capability, such levels of visibility are almost impossible to achieve. Tis is because it is not possible to identify and prioritise the most relevant data points manually with the volume and velocity of data being generated at scale. With good data collaboration and effective use of AI, however, organisations can get a measure of the health of their supply chain, allowing them to respond in real time to the facts on the ground.
Spitting image Digital twins are central to being able to sense and respond to changes in today’s fragile just in time supply chains. Te Digital Twin takes multiple data points from various dimensions of the supply chain and overlays a hierarchal structure which models the relationships between different assets, processes, and their data and provides business context. Tis enables near real-time visibility of supply chain data in context to the business operations and enables rapid impact analysis, better prediction capability and more impactful action. What is important to note here is that, with so many stakeholders in a supply chain, the free flow of data is critical. Without a collaborative network pushing information up and down through the supply chain, the ability to sense and respond will never be fully realised.
Defining your data maturity roadmap Tere are four stages of data maturity that organisations need to work through before they can truly sense and respond to their supply chain. Te first stage is having the foundational elements of a data strategy in place. In practice, this means aligning your data infrastructure and its modernisation roadmap in line with stated business goals, keeping systems up to date, and ensuring that the organisation is executing its operations with an infrastructure that is properly setup and configured. Having this modernised data environment on which to collaborate is so important as it sets up the ideal environment for an efficient supply chain collaboration between the various stakeholders involved. If an organisation is itself broken into siloes, the chances of it effectively sharing information across its various departments and with each of the third parties
12 | June 2022
www.pcr-online.biz
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