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PRODUCTION DATA DETECTION SYSTEM THROUGH ATOMOS COMPANY SOFTWARE

THE PROJECT
Wegaplast has a molding department with around thirty presses with a clamping force of between 20 and 1,200 tons, taking care of its customers for the construction of over 150 new molds every year.

Through computerized data collection, the company is now able to monitor real-time factory events, analyzing yields and any inefficiencies in real time.
Thanks to the various supervision stations, the department activities are coordinated making available to the central system the final data useful for optimizing the logistic, qualitative and maintenance cycle.

The historicizing of data also makes it possible to process various types of statistics on downtime, waste and returns: in particular, the daily and progressive OEE of the production departments and individual work centers is analyzed.

The scheduling solution installed by Atomos allows Wegaplast to perform a finite capacity planning of the workings, setting dynamic constraints on resources, labor, materials, equipment and setup times: thanks to this Wegaplast is able to optimize at best its production. Specifically, optimization matrices have been configured on four levels: mold, material, type of components and color.

Atomos technicians have configured the solution so that the functionalities allow manual forcing on the work surfaces: the user works directly on the work plan itself, moving the activities over time or on other compatible resources, modifying the order sequence of work, lengthening or splitting the work itself.

The modernization of the company’s data transmission network also makes it possible to improve availability, usability and data analysis in real time. It also allows the detection of the main parameters such as pressure and temperature inside the mold and other indicators of product quality by extracting data directly from the press.

RESULTS

The implementation of the solution proposed by Atomos allows Wegaplast to have immediate information on the state of production, on delivery dates and has made it possible to improve the supervision of the company’s production performance. The analysis of statistical data makes it possible to quickly adopt any corrective actions needed to improve production efficiency.

The result is a significant increase in the total efficiency of the implant and the improvement of the level of service to customers.

The project has continued over the years with the inclusion of new performance indicators that allow the detection of productive, qualitative and commercial inefficiencies, allowing the development of a new orientation aimed at controlling the process through the solutions proposed by Atomos.

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