OEE Web Modules

Access your business information whenever and wherever through the web.

The main objective for collecting production data is to obtain OEE indicator measures and make information available to factory managers through the web.
Progea is completely aware, just as any manufactoring company, how crucial it is to have the facilities to access factory information in realtime from any place at any time of the day.  This is why they have developed a very innovative software solution, MovTracer© front-ends, based on the most modern ASP.NET technologies for collecting business information at a enterprise-wide level, covering the entire shop floor right across to the managerial offices, in realtime through an Internet or Intranet architecture.

 

Thanks to MovTracer© front-end technology you can visualize KPI performance indicators of your business using a simple browser, allowing you to drastically reduce managment, maintenance and license  costs that no other MES system availabe to day can guarantee, helping you reduce company investments to the minimum.

Open and flexible OEE Modules for “Plant Intelligence”
The OEE indicators are recognized as the main and most effective indicators for measuring global shop floor efficiency.  The principle use of OEE is to maximize marketable products by increasing productivity in the three main areas: availability, performance and quality.
Thanks to archiving production data in realtime and relative OEE analysis, manufacturing company business managers can now understand production performances much better and identify those areas which are lacking in efficiency.  The OEE provides a very clear picture on how things are going on the efficiency side of production by showing measured rates and qualities with an overall performance total.

The OEE manufacturing unit performance measurements are based on three factors:

1. Availability – The percentage of actual operating time, known as Uptime, compared to the one planned.
2. Performance – The percentage of pieces actually produced compared to the planned amount.
3. Quality – The percentage of defective pieces compared to the total pieces produced. 

These indicators are obtainable by applying specific filters based on different time ranges, production lines and machines, Shifts, Batches and Workers.
This essential information consents factory managers to improve production assets, machine efficiency, optimize times and reduces any wasted. 

A company registering a very low OEE value will inevitability have to increase its unitary production costs, jeopardizing profit losses and business opportunities.  For example, a production line running 24/7 will loose the company 4% productivity for each hour of downtime a day. 
By being able to analyse production data, the company will be able to discover the weak points and production downtime causes, take action to correct and reduce further loses.  By retrieving just 2% of production losses will gain the company 3.5 hours of productivity a week, totaling 168 hours more productivity a year.  This small 2% production recovery alone will make a substantial impact on profit increase.
Today, based on a challenging OEE value of 100%, the most efficient companies with major productivity usually benchmark and reach an OEE target value of 80-85%. Most companies that do not implement any productivity control only operate at an average of 60-70% of their real capacity.  It is clearly in the best interests of any manufacturing company to fully consider the great advantages offered by these OEE indicators to help reduce loss and make a gain on profits.
  
 

DownTime Module
However, the OEE indicators alone are not enough to pinpoint the exact causes of inefficiency.  It is essential that the data collection system be capable of providing the right information needed for discovering such causes (or macro causes) of productivity loss and performance inefficiencies.
This information is fundamental to ascertaining the inefficiency causes so they can be removed.   Receiving notifications of alarm occurrences, generated automatically by the system, usually do not contain sufficient information. Not just production line machinery but everything else on the shop floor should be submitted to full inspection.  There may be various reasons causing production downtimes (i.e. shift or machinery component changes, missing raw material, machines being serviced due to scheduled maintenance or breakdown, shop floor staff breaks or meetings and so forth).
The full collaboration of all shop floor staff is therefore essential.
MovTracer© has just the right modules for analysing these types of DownTime causes.  Statistical analyses on production downtimes can be produced according to the possible motivations (configurable).   By using these analyses, production managers will be provided with all the vital information ever needed to make the right decisions and implement the right actions for correcting errors to improve production management.
 

Web-based Analysis

The Analysis modules included with MovTracer© are based on web technology and are equipped with completely open and customizable solutions to fully meet any type of need covering a wide range of specific production methodologies.   The locally installed MovTracer© modules, are based on the ASP.NET technology and consent the use of the Windows Web Server (IIS) so that users can visualize all the statistical information needed in real time from any Client terminal through the company’s local network or the internet.
The modules are open to customization and equipped with the appropriate Licensing formulas tailored to reduce implementation costs drastically and provide maximum freedom to customize, thanks to widely and commonly used technologies and standards. In addition to these modules, the system has been designed to guarantee accessibility to recorded date using custom solutions or DB Connectors for reading-writing data towards other managerial systems.