Large rollers on conveyor belt in factory.

Planning systems: Optimizing the capacity utilization of pressing plants

Planning systems: Optimizing the capacity utilization of pressing plants
Technologies

C#, Dot.Net Core, Entity Framework, SignalR, PostgreSQL, WPF, DevExpress, Onion Architecture, DDD, Jira, Confluence, CI/CD in Azure, TDD, GraphQL

Methods

Scrum, KanBan

Our team

Up to 16 team members

The customer's requirement: Optimize costs and production

Our customer has an extensive portfolio of components and processes them in various pressing plants around the world. In order to optimize costs and increase production efficiency, he relies on planning systems. These are intended to support employees from specialist areas such as new planning, resource planning and capacity planning.

  • Two engineers check data on tablet
  • Technician operates machine with tablet
  • Roll production in a modern industrial hall
  • Close-up of a roll during the printing process

Our task: Development of the central planning system

We have been supporting our customer for over ten years and continue to drive the development of its central planning system. This allows the global production of components to be planned and the pressing plants to be optimally utilized.

Group of young people working on a laptop outside

Our approach: From the fat client to the cloud

With a focus on local processing, our customer's application was initially designed for desktop computers (fat clients). In order to meet the long-term IT strategy, a step-by-step conversion to a client-server application with Dot.Net Core, Entity Framework and SignalR is taking place. In this conversion, we are also using the Onion architecture with a very strong focus on domain-driven design.

To prepare the application for migration to the cloud, we implemented modern interfaces with GraphQL. We also started developing new front ends. The database was also moved from IBM DB2 to PostgreSQL.

Our challenge: Basis for complex production

The complexity of the development results from two factors:

  • The application should take into account a variety of manufacturing scenarios and calculate site-specific manufacturing costs.

  • Possible production scenarios are to be created with the help of important information from peripheral systems.

This planning forms the basis for the procurement of operating resources as well as for capacity planning and working time management.

Man with glasses talking in the office

Our result: Software improves production capacity utilization

With the planning systems, our customer can plan in which plant, on which machine and with which tools series production should take place for all parts of the product components. In addition, they can calculate the manufacturing costs that will be incurred for each location, including material, production and operating equipment costs. We also introduced an authorization concept and master data maintenance into the application.

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Why MaibornWolff?

As one of the most innovative IT service providers with a great passion for AI, we focus entirely on the project business and individual software development - without our own products. To stay at the forefront, we continuously invest in our team of digital technology engineers and develop digital solutions that are well thought-out, efficient and reduced to the essentials.

Our principle: simplicity instead of complexity. We only develop what is really needed - tailor-made, useful and reliable. Our results speak for themselves. With over 800 large-scale systems and more than 10,000 person-years of experience in high-end software engineering, we are one of the few who can reliably implement even the largest and most complex IT landscapes. Thanks to close partnerships with leading hyperscalers, our customers operate their solutions in today's most modern and powerful environments.

Less technology. Better Business.

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