The first step is to identify an area that needs improvement. This can be done through observing current processes or analysing statistics that may flag where an intervention is needed.
Examples of this could include situations where costs are too high or processes aren't meeting business targets.
Why isn't the process performing as well as it should be? To find the problems, look at these three areas:
This step is about positive change. Reformulation involves reshaping existing processes so they can become more effective. This can be done through extra training for staff, new machinery upgrades or building entirely new procedures.
Rolling out the solution in the real-world is the true test. This phase reveals how well your team adapts to the changes and highlights what work still needs to be done.
Updated work instructions and augmented processes will likely be needed during this stage to ensure seamless onboarding of new procedures.
The key to determining the success of smart operations is to measure performance before and after the implementation.
It’s important to analyse data from various aspects of the company, including all production lines, to ensure the rollout hasn’t negatively impacted other areas.
Connected devices, particularly through Internet of Things (IoT) technology, provide companies with valuable insights into machine performance.
Fitting machines with sensors generates a wealth of performance data, including information on potential faults and wear and tear. This data-driven approach enables users to fix problems before they arise. Access to these insights saves companies time and money by reducing product downtime.
Product Lifecycle Management (PLM) is a key tool manufacturers use to create digital supply chains. This strategy focuses on all parts of a company's operations, breaking down each process within the chain rather than looking at operations as a whole.
This step-by-step approach allows for efficient improvements to be made across the entire supply chain.
