Manufacturing and Industrial Sector
Manufacturers find themselves awash with a significant amount of valuable data
Principa offers a number of products and services within the manufacturing and industrial analytics space.
These products and services assist manufacturers to unlock the value of the data and reap the true benefits on offer. These include:
Machine Learning Platform
With the proliferation of Internet of Things (IoT) devices throughout manufacturing, some companies find themselves awash with a significant amount of seemingly valuable data. Many companies struggle to harness this data to create both business insight and predictive foresight.
Insights such as – How productive is my machinery? or Has there been any abnormal change in volume indicating shrinkage? – provide answers to crucial questions.
Foresights such as – When is my machine likely to break down or perform sub-optimally? provide management with valuable
information allowing for proactive interventions.
Through the generation of meaningful Insights and Foresights, the true value of all the data can be unlocked as it is converted into very valuable business information, able to support management in making informed business decisions regarding past and also future performance.
The key requirement to achieve this is having a Machine Learning Platform that is supplemented with operational analytics.
There are a host of challenges within manufacturing that invite scrutiny. Without the benefit of relevant reliable information regarding the cause of each challenge, effective human intervention can be difficult to achieve. The opposite is also true – If the information (data) surrounding the challenge is available, it can be used to introduce inventive and informed interventions that would fully equip management in solving the problems at hand.
To assist our customers in solving a variety of manufacturing-related challenges, Principa offers our mathematical optimisation service aimed at introducing improvements and enhancements to areas contributing to the challenges, paving the way to achieve manufacturing optimisation. This includes:
- Enhancing personnel schedules
- Scheduling manufacturing processes with minimal waste
- Determining maintenance schedules for optimal output
- Determining transport and logistic schedules
Bringing about these improvements or enhancements (and others) to solve the challenges can be achieved utilising tools within the mathematical field of optimisation.
In addition to the benefits that flow from business processes optimisation, we have also noted that these projects can deliver a significant return on investment to our customers with results that are tangible and measurable.