APS - Capable of creating a production schedule for multiple products and orders in a very short time, synchronizing and optimizing the production flow in terms of changeovers, for example. The production schedule in APS is based on information about orders, technology, resource and material availability, and feedback from production, allowing its current status to be checked at any time and updated immediately if necessary.
MES - Provides immediate feedback on the actual progress of production, allowing the company to monitor the technological process from any location and any device. Data is collected from machines through automation components and from production stations through operator-operated terminals. The collected data allow to measure the actual course of the production process and serve as a basis for activities related to its improvement.
IoT - collects information directly from individual machines and devices and then visualizes it. This enables real-time control and optimal use of infrastructure potential, as well as immediate response to emerging irregularities or failures.
POM - Production Order Management supports the management of technological data of products - both routes and recipes (BOM). This data, together with demand information (orders, work orders, forecasts), forms the basis for generating appropriate production orders, which are then scheduled within APS.
QMS - Quality Management System is an MES-integrated quality management module that allows defining, recording and evaluating the quality characteristics of products and semi-finished products. It provides precise data about quality problems, indicating their location, time, responsible persons and possible causes.
TMS - Tool Management System enables the management of tools and equipment. It provides information on the availability and location of tools and their level of wear, forming the basis for a detailed production plan. The integration of TMS with APS and MES (Advanced Production Scheduling and Manufacturing Execution System) automates internal logistics and ensures the supply of the required tools to the workstations.
MI - Manufacturing Intelligence is a set of reports and analyses based on the data collected in MES, IoT, QMS, TMS, allowing for further improvement of the production process. In addition to OEE and OLE analyses, the most frequently used are analyses of the reasons for downtimes, causes of losses (quality losses) and verification of the quality of technological data (comparison of standards with the actual production execution).
Increase in plant efficiency - through maximizing resource utilization and identifying bottlenecks.
Time savings - check resource availability and create an optimal schedule in seconds.
Significant improvement in communication - multiple planners can collaborate on the schedule in real-time.
Shorter delivery times - thanks to rapid response to priority changes and scenario creation.
KPI analysis for management - including useful OLE and OEE reports.
Security and support - thanks to the experienced and competent PSI team, providing support at every stage of the project.
on-time delivery
production costs
efficiency
In most projects, the definition of requirements and the creation of ways to meet them take place during meetings in conference rooms, where processes and their handling are theoretically considered.
Very often, when future users interact with the system in practice, they realize that some of the reported requirements are not actually necessary, and others can be implemented differently – hence the importance of later change management procedures. Another pitfall of this approach, leading to the need for changes in the project (scope, schedule, and budget changes), is poor communication and a lack of understanding between both parties (supplier and client).
To avoid the above issues, in the case of PSIpenta/MES, we use a prototype, which is a functional system installed in the client's environment. The system prototype allows testing of proposed hypotheses in practice. Theoretical discussions about whether production management process improvements will be ergonomic and deliver the expected results are continuously verified in practice.
From the very beginning of the project, the client participates in adapting the prototype to their needs. This collaboration helps the client build technical competencies that will enable them to further develop the system independently.
In response to customer needs, we have prepared two implementation paths for the PSIpenta/MES system: Quick Start and Enterprise. The first is intended for customers who want to start using the system quickly and do not require a high degree of customization. The Enterprise implementation is designed for customers with very complex processes who expect a tailored approach.
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