1 Strategy
Goal: Develop target vision
Content: Project success depends heavily on the competence of involved employees. Therefore, the value of data-driven processes must be communicated clearly and continuously. Iterative training ensures that technological potential is fully utilized and teams can independently configure and test the MES standard software.
Value: Alignment of market requirements with operational needs
2 Discovery
Goal: Define requirements
Content: An MES project affects many departments and processes. An interdisciplinary team of experts from IT, production, quality assurance and management should be involved. This team defines the MES functions: What do we have, what do we need? Are standard functions sufficient? Is IT development required? What level of usability do we want?
Value: A clear, cross-functional overview of required resources and resulting costs.
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3 Know-how – Building
Goal: Focus on people
Content: Projects rely on the competence of those driving them. Communicating the benefits of new data-driven processes and providing iterative employee training ensures full utilization of technological capabilities.
Value: Teams are motivated to take an active role in the transformation
4 Scoping and Definition
Goal: Specify the project
Content: An MES project affects many departments and processes. An interdisciplinary team of experts from IT, production, quality assurance and management should be involved. This team defines the MES functions: What do we have, what do we need? Are standard functions sufficient? Is IT development required? What level of usability do we want?
Value: All stakeholders have a clear understanding of the project steps.
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5 Implementation
Goal: Gradual project execution
Content: Step-by-step introduction of the MES solution starting with a pilot area to ensure uninterrupted production and early measurable improvements.
Value: Increased trust and acceptance for later rollouts
6 Support
Goal: Support and release management
Content: Continuous support before, during and after implementation and seamless system updates including integration into existing IT landscapes.
Value: Reliable data flow between systems and achieved efficiency gains
7 Know-how – Building
Goal: Stay up to date
Content: Repeated training and workshops ensure that all stakeholders can optimally use MES software and updates.
Value: Long-term enablement for independent use of real-time analytics
8 Data Analysis and Optimization
Goal: Continuous process optimization
Content: Once the MES system is operational, the continuous improvement process begins. Production data from the MES is regularly analyzed to drive ongoing optimization. Daily data evaluation often identifies new areas for improvement, which can then be addressed using the same structured approach.
Value: Continuous process optimization reduces waste and sustainably increases overall efficiency.
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