In an ever-changing global market, it is crucial for manufacturers to strive for a more efficient production line to maintain a competitive advantage within the industry. Pursuing digital transformation is key to uncovering insights into production line efficiency, reliability of equipment and asset performance. Capturing and integrating inspection and production data helps to ensure productivity and reduce downtime, through the intercommunication between multiple processes.
Manufacturers are one of the most data-rich industries, generating an average of 1.9 petabytes a year. Various systems including Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES), help to improve production lines and reduce variability, but inspection data is one the most valuable forms of data captured, giving insights into suppliers, compliance practices and quality management. Quickly gathering and distributing the enormous volumes of data across shop floors, vendors, suppliers, and other factories can be challenging. Many companies continue to use fragmented data capturing methods which are often not utilised, and the benefits aren’t realised. Traditional methods are not only prone to human error but are highly time-consuming, inefficient and don’t generate the required quality for deep analysis to implement change.
Expose the Unknowns
As the industry is under extreme pressure to reach carbon neutrality, ignoring a chance to improve efficiency can’t be overlooked. Production inefficiency can cause major losses for manufacturing companies, by accumulating unnecessary expenses and waste within different areas of production, adding an increasing amount of strain onto other areas of the supply chain.
Inadequacies within production can cause major defects in products and can be caused by poor quality materials, human error or machine performance. Raw materials can cause deviations in physical properties, which can be difficult to identify with just the naked eye. Examining defective materials may sound simple, but the situation quickly becomes complex without the correct tools. Similarly, machine performance may also lead to quality loss when they aren't running effectively. The instability of machines can occur at any time throughout the manufacturing stage, making it difficult to have visibility over when and how a defect was caused, and these defects are usually only identified during inspection. Defective products have to be either scrapped or re-manufactured, with manufacturers absorbing the costs of replacement. Traditionally, engineers would pursue intensive root cause and resolution processes, that can take several hours or days to complete.
With the help of JetSoft’s digitised solutions, you can gain instant deep insights on inspection data to find the exact cause of the defect, fundamentally reducing downtime and becoming more proactive.
The Key to Change
JetSoft integrates complex NDT inspection data alongside other manufacturing data, into a single database where trained algorithms will analyse the data to highlight areas of concern. Complex inspection data holds integral information to reduce waste, minimise business risks and improve productivity. To drive change in quality control, manufacturers must have visibility over their production line.
Overseer is a central database for all inspection and production data, to monitor trends, gain insight and create reports around production processes and systems from different touchpoints. Our solutions understand the complexities of inspection data from simple pass/fail to complex 3D images.
OverSeer can perform an automatic assessment on data and cross compare with historic results to gain new insight.
The highly configurable dashboard allows users to isolate the diverse types of data to look at statistics from individual alloys, specific autoclaves parameters, or defect types. Overseer can aid personnel to identify the root cause of defects, from individual machines to specific material suppliers. Manufacturing can be thought of as a set of linear processes, any of which can introduce a defect what our technology is able to do is identify the process which created the defect. Additionally, our solutions make it easy to see the impact of changes process procedures or equipment has on quality.
Like the old motto “learn from your mistakes”, this is exactly what Jetsoft’s solutions can do. Pinpointing where the defect was originated, allows you to put in mitigation measures, to reduce the likelihood of the problem rising again in the future.
JetSoft aims to improve the accessibility of data to revolutionise manufacturing and meet quality standards. Integrating integral data types is a powerful tool to enhance predictive decision-making, by revealing and highlighting processes that are affecting the physical and financial performances of assets to ultimately produce high-quality products. Data and digitisation are at the centre of an efficient and profitable production line. Get in touch to discuss our solutions.