Nexeed Manufacturing Execution System
Operating equipment management
Correct planning of resources
With the aid of operating equipment management, it is possible to monitor the operating equipment and also safeguard its functionality and availability. All operating equipment conditions are shown transparently with a clear overview and, in this way, give an indication of the current status of the operating equipment. This makes it possible to plan with foresight and increase efficiency within production. By improving the provision of operating equipment and reducing the associated downtimes or times out of use, it is also possible to reduce costs sustainably.
Tool management serves as a means of tool monitoring and tracking. It enables the management of tool counters for maintenance and repair. Users receive details about the technical states, availabilities or compatibility with machines. It is also possible in this way to set-up automatic blocking rules using predefined quality attributes.
With the inventory tool, it is possible to record machines and plant systems as well as other equipment in production. The inventory is detected very simply by the software using suitable RFID hardware. Compared with the manual procedure, the amount of time required is reduced to a fraction. If present, the data can be transmitted directly to the ERP system. The information can in turn be called up and viewed from there.
Condition monitoring serves as a means of real-time analysis of machine data and process data using configurable warning and fault thresholds. Changes to the condition of a machine can be detected easily and quickly and offer assistance in the prevention of premature failure and ensuing damage. Moreover, condition monitoring enables advance planning of requisite maintenance work and safeguards the operating safety of the plant systems. Other functions such as an alarm via email, text message or service ticket if the established thresholds are exceeded or not reached make rapid reaction possible in the event of faults. The module can be used on individual stations, lines or in complete factories.
Preventative maintenance aims to avoid stationary periods of the machines and avoid costly corrective maintenance measures. With the aid of our functionalities, long-term maintenance measures can be scheduled and documented, work hours and resources can be efficiently planned and costs for maintenance reduced with lasting effect.
Corrective maintenance comes into force in cases where malfunctions occur and the condition of a plant system or machine worsens or even breaks down. In most cases, corrective measures are highly critical in terms of time and cannot be planned in advance. They have to be executed quickly, however, in order to prevent longer downtimes of the plant system and to keep downtime costs as low as possible. Our system supplies reliable real-time data and in turn assures a rapid reaction.
Autonomous maintenance aims to promote responsibility among staff in handling existing resources and to have minor maintenance tasks carried out by the machine operators. This enables a rapid reaction in the event of minor malfunctions and makes it possible to save not only time but also money. Our solutions provide support here with tips, notices of defects, maintenance schedules and work instructions that need to be followed should a fault occur. All activities to be carried out and the material used for fault rectification are documented and can be viewed at any time.
Energy data collection
Energy consumption data are gathered and charted via standardized interfaces. This can be carried out not only for individual stations but also for a complete factory. Here, the module for energy data collection runs independently of the energy type (e.g., electrical energy, water or heat) and the respective control systems. All data are gathered and stored, then evaluated and analyses via an app within the scope of energy monitoring.
Energy monitoring serves as a means of visualizing, monitoring and planning production-relevant energy data. It provides a quick overview of energy capacity utilizations, identifies unnecessary areas in which energy is being sapped and detects process-related load peaks. In this way, elevated energy consumption can be avoided and energy costs reduced thanks to the rapid reaction and introduction of targeted measures.