Industry 4.0

Digitization in the production sector, also referred to as Industry 4.0, is revolutionizing industry and has evolved into the transformation of core operational processes in companies. The current stage of digitization is about intelligently linking all technologies, processes, enterprise ecosystems and “things” into an overall digital concept.

The aim is to leverage further optimization potential in production and achieve further quality improvements. For example, “predictive maintenance” based on “predictive analytics” can significantly increase maintenance efficiency and reduce costs. Forecasting models are developed from the analysis of historical diagnostic and associated sensor data. These predictive models identify emerging failure modes before they actually happen. Thus, expensive failures can be avoided. Companies can generate many benefits through Industrie 4.0 solutions such as:

  • Production cost savings
  • better production planning and utilization
  • faster time to market
  • higher machine availability
  • higher product quality and better service offer

In addition, companies can add digital functions to their product portfolio and introduce innovative, data-based services, so-called smart services, to increase their industrial value creation.

The basis for optimizations and additional services described above is the integration of physical and virtual objects into a global network, Internet of Things (IoT), and the evaluation, analysis and monitoring of their data in real time. In a typical IoT scenario, several hundred sensors generate a variety of status information every minute, every day, 24 hours, 365 days a year. This flood of data is processed, analyzed, monitored in real time and generates several hundred terabytes of data per year. Data is used to design and optimize statistical models or develop data-driven business models. The requirements that an Industrie4.0 solution must fulfill are derived from such scenarios.

Our solution

Our procedure

With our holistic solution approach consisting of a “real-time analytics” platform, analytics suite and our service portfolio, EnterpriseMind can offer you a complete Industry 4.0 solution from a single source and support you in increasing your digital value creation and generating competitive advantages.

Based on real-time data, we can realize a broad portfolio of Industrie4.0 solutions for you, including predictive maintenance, track & trace, smart products, real-time metering and mass customization.

When implementing the Industrie4.0 solution, we follow an agile planning approach in accordance with the SDLC (Software Development Lifycycle) according to COBIT. This is to ensure that the project is carried out in the required quality, time frame and budget. In addition, evaluation, quality assurance and release take place after each phase.

Our service

Consulting
Finance & Reporting
Data Sciences
Software Engineering

  • 1. BUSINESS CASE AND BUSINESS REQUIREMENT

    We gain a deep understanding of your business model, processes and organization. In cooperation with you, we clarify how Industrie4.0 projects can support you in achieving your business goals and what opportunities they offer you. We develop an appropriate business case with you and record the business requirements.

  • 2. ARCHITECTURE AND CONCEPTION.

    Based on business requirements, digital value creation, the number of sensors and services, and the size of the data, we derive the technical requirements and define the system architecture. For Industrie4.0 solutions, we use a Lambda architecture, which is a combination of our ,,Real-Time Analytics” and ,,Big Data Analytics” platform.

  • 3. DEVELOPMENT : ANALYTICS

    The development phase consists of an “Analytics” and a “Streaming” part. The objective of the “Analytics” development is to develop a model on the basis of the historical data, which, for example, determines the probability of a failure in predictive maintenance. To avoid a failure, countermeasures are taken when a certain probability is reached.

  • 4. DEVELOPMENT: STREAMING

    After the required model and data structure are in place, we develop the “streaming” part of the Lambda architecture. It affects components such as the IoT interfaces, Spark streaming jobs and output servers and services. At the end of the phase, the functionalities can be simulated according to the business requirements in the development environment based on individual sensors.

  • 5. TEST AND COACHING

    In the test phase, we test the Industrie4.0 solution and the optimized processes under real conditions. We focus on load, system and process integration. At the same time, we conduct coaching with your employees.

  • 6. OPERATION AND SUPPORT

    We support you in integrating the operation of the platform into your IT processes with the aim of ensuring the required availability. We also offer IT support for our platforms.

Our solution offers you the following advantages

Complete solution from a single source

With our “Real-Time Analytics” platform, analytics suite and service portfolio, we cover the necessary technological and process-related areas to be able to realize a complete Industry 4.0 solution for you. With our expertise in IoT, Streaming, Big Data and Analytics, we can design and program solutions tailored to your needs and requirements. With our process expertise, we help you implement and transform the new solutions into your business processes.

leading technology

Our solutions are based on leading technologies such as Mesos, Cassandra, Spark and Kafka. These are also used on other platforms from SAP, IBM and Microsoft.
This means that you benefit from future technological developments and are independent of a single provider.

High reliability

In our Lambda architecture, the main critical components are designed redundantly. Accordingly, the clusters of Cassandra, Spark, Kafka consist of multiple nodes and the failure of one node can be compensated by the other nodes. This does not jeopardize the functionality of the system.

High degree of automation

Thanks to our analytics suite, batch and analytics processes are also largely automated. This frees up resources that would otherwise be tied up in simple, standardized activities. Multiple monitoring services ensure safe and effective operation.

Scalability

The horizontal scalability of our platform enables you to adapt the system’s performance to growing demands. By adding servers, the performance is increased proportionally (or linearly). This allows you to start with a limited number of sensors in the initial phase and expand the number of sensors at a later stage.

Easy to integrate

We customize our “Real-Time Analytics” platform accordingly to integrate it into your system and process landscape. With our IT know-how, we design and implement the necessary interfaces and services.

agile and flexible

Business requirements as well as processing requirements and results are subject to constant change. Since our platform is modular, components can be adapted or combined according to changes.

Security and compliance

AWS (Amazon Web Services) infrastructure already has strong security measures in place to protect your customers’ data and ensure secure communication between sensors and the Real-Time Platform. To meet COBIT security and compliance requirements, we use industry standards such as OAuth2 client authorization and SSL encryption in our Analytics Suite and Analytics Platform. In addition, we apply best-practice IT processes in the design, development and implementation of systems and solutions. In our Analytics Suite, you can map an authorization concept according to your organization and implement controls according to your internal control system.

low initial investment costs

In the IaaS (Infrastructure as a Service) model, the cloud provider makes basic IT resources such as computing power, storage or network capacity available to you. Thanks to the high scalability of our system and the consumption-based billing of cloud providers, you can implement Industrie4.0 projects with low initial investments. Furthermore, it is possible to change the cloud provider or migrate the platform to your data center at a later point in time.

Learn more about our solution approach and contact us

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