Manufacturing2018-09-02T17:38:44+00:00

Why does Manufacturing need Business Intelligence?

Manufacturing is a complex industry and with an increasing amount of data being captured from multiple siloed sources, it has become more and more difficult to keep up with the pace of data generation. With reliance on old reporting methods, key metrics are often reported on days after the initial data availability, on potentially obsolete data.

Operations and supply chain have become increasingly complex, making it harder to optimize production. A Business Intelligence solution from Kingfisher can bring together the raw data from diverse systems and present it as actionable information.

Once a solid data foundation has been designed, the work can begin on the data visualization – from designed reports to self-service analysis – making the data available in a timeframe that allows you to make meaningful and actionable decisions to streamline processes and to track and control your business.

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Maintenance

How can you analyze a plant’s data to reduce emergency maintenance and cut costs?

Integrating maintenance and repairs into everyday processes can help you achieve your business goals. Costs incurred by emergency maintenance due to unscheduled overtime, rushed parts, service callouts, and downtime of equipment can drive costs up over three times more than planned maintenance. Scheduled maintenance, whether planned, predictive or preventive can be driven from monitoring the performance of plants and using the machine’s self-reporting capability and allows maintenance to be organized and scheduled before the breakdown occurs. Using a Business Intelligence solution allows you to capture and analyze production line data to minimize the impact on downtime and cost.

Safety

What changes can I make to become a no accident site?

Knowing the state of your current health and safety performance will allow you to define a path for improvement and the way to a no accident site. Monitoring the behavioral, procedural and technical aspects of safety is necessary to understand how you can move towards compliance and improve safety and productivity. Looking at indicators such as training performed, near-miss accidents and inspections performed can help you analyze how to implement better processes, change cultural misconceptions and invest in safety precautions. These new processes can help move you in the right direction to a no accident site and operational excellence.

Benchmarking

How is my site doing in comparison to others?

Comparing performance between sites and individual plants across company locations will help identify lagging production and highlight the leaders. Pinpointing the areas that are performing well and rolling out best practices to other departments/locations will ensure everyone is performing to the highest standard possible. Looking at indicators such as manufacturing cycle time, throughput and capacity utilization can establish how various sites and plants compare across your company as well as how you are performing with respect to your competitors. Using this data to drive change will make you more profitable, competitive and successful.

Quality

How do you create a minimum defect production line?

Capturing the data throughout the production process from the supplier’s delivery of defective products through the manufacturing-generated defects and finally to customer satisfaction is necessary to fully analyze where money, production time and consumer confidence is being impacted.

What percentage of your production ends up as scrap? How can your manufacturing process achieve a Six Sigma rating for defect-free production? Looking at various measures throughout the manufacturing process, from received defective supplier products all the way through customer quality perception can move you toward higher quality and more compliant production.

Bringing this data together from different sources and sites and making it available in a clean, consistent, business-friendly BI solution will allow analysts visibility into the areas of issue and provide data to support positive change.

Get actionable information from your manufacturing data

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