Lantek Manufacturing Analytics

Capturing every single manufacturing data from supply chain, analysis based on 30-years on Sheet Metal expertise and standardization in a Data Gateway to be integrated on an external SAP or in a Business Intelligence Cockpit. Or in Lantel BI module. OEE, Machine Monitoring, Inventory: Real knowledge for real improvement. 

Product Specifications

Manufacturing Analytics

Because knowledge is power (for decision-making)

Lantek Manufacturing Analytics is an advanced manufacturing intelligence module that collects all the production system data and filters, groups and compares it to enable decision-making based on information that is reliable and always up-to-date.

Lantek Expert and Lantek Flex3d are CAD/CAM software solutions that enable you to manage all the cutting machines with the same program, regardless of their technology, type of cut or manufacturer. And besides the obvious advantage of using just one management program, this standardization allows us to collect all the data from each one of them and extract the useful information.

Moreover, if you use Lantek MES, the most advanced Manufacturing Execution System in the market, this useful information is increased with data from other non-cutting processes (Lantek WOS/Capture) and from the efficiency of a whole line or order. Furthermore, if we complement this with data from Lantek Inventory and Lantek Outsourcing, the knowledge will include advanced warehouse management analytics. Lantek Manufacturing Analytics compiles, compares and displays the data of the whole process so you can do your job: make decisions to optimize production.

  • Manufacturing Analytics

  • Manufacturing Analytics Home

  • Manufacturing Analytics - Inventory

Understanding past performance: OEE of each machine.

OEE (Overall Equipment Effectiveness) is the main metric that allows us to ascertain productivity in the manufacturing process. It identifies the percentage of time each machine, line or plant has actually been productive.

OEE is measured by 3 parameters:

  • Availability: This is the percentage of time that a machine has actually been running over the time that it should have been running according to planning. This parameter will be used to detect and analyze the technical issues in a machine, line or plant that keep you from achieving maximum productivity.
  • Performance: This shows the actual productivity over the theoretical maximum productivity. With this ratio you can see the evolution of productivity in a machine, line or plant defined by specific criteria in each case. The aim is to give constant information of the different evolutions and deviations to detect behavior patterns so that you can continuously improve the process.
  • Quality: This is the percentage of good parts that have been produced by the machine, line or plant over the total produced according to the defined quality standards. Its evolution over time will give us indications of problems regarding wear and tear, calibration or other causes that affect productivity.
  • Manufacturing Analytics- OEE Home

  • Manufacturing Analytics- OEE Availability

Determining the current status: Machine Monitoring

What is the current status of a machine? Machine Monitoring will inform you about the status of your machines whenever you want, according to three basic statuses: in operation, in planned stop and in unplanned stop. A control panel that is always on top on your desktop or mobile device will enable you to monitor your line or plant at a glance.

Advanced warehouse management

It is not enough to know how much material of each type we have at a certain time: a system of warnings and automated forecasting will anticipate stockouts. This predictive capability will allow you to keep smaller stocks, which means significant savings and efficiency improvement.