Data Analysis & Simulation

Holistic Project Approach - Presenting Complex Correlations in a Transparent Way

SSI SCHAEFER thinks holistically: from processes and systems to turnkey, modular and scalable intralogistics systems.

This is particularly beneficial for companies that are taking their first steps towards automation or whose requirements for the logistics solution are not precisely defined in advance.

Data analysis and simulation allow you to gain an in-depth insight into how new technologies work and how the system elements interact within a short space of time. This makes even complex system solutions with a high degree of automation comprehensible.

The data analysis provides a transparent, coordinated planning basis that forms a solid foundation for the development of an effective, automated intralogistics solution. In a further step, this can also be validated using concept and/or material flow simulation. In this way, it is possible, for example, to map products from the SSI SCHAEFER portfolio, develop suitable WMS and MFS strategies and verify peak-relevant system performance. In this way, the customer receives an optimum solution that is tailored to their requirements and provides a complete solution.

Data Experts Ensure Transparent Planning

SSI SCHAEFER has a highly specialized team of experts consisting of data analysts and simulation engineers. The interdisciplinary team comprises 25 globally networked data analysts and simulation engineers who have a deep understanding of the company's products and a wealth of experience.

State-of-the-art tools such as LogiVision are used to analyze data and improve business processes. In this way, even complex logistical relationships can be prepared transparently and presented in a comprehensible manner, alternative courses of action can be compared, and growth scenarios can be precisely mapped.

Data Analysis - A Solid Set of Figures with High Informative Value for System Design

The central aim of the team of data mining and big data handling experts is to transform the needs and requirements of customers into an appropriate and economically viable logistics solution in a targeted manner.

Even complex interrelationships can be analyzed and presented in an understandable way using innovative tools. Artificial intelligence (AI) and mathematical optimization methods are increasingly being used to constantly refine the quality of planning.

With our business intelligence and data science services, we start a project practically before the initial concept, thereby creating the basis for a design of the future warehouse that is consistently oriented towards the customer's wishes.

Utilize Insights from Data Analysis to Optimize the System Layout

To carry out a data analysis, historical customer data such as

Article Master Data,
Order Data,
Incoming Goods Data and
Returns Data

are used. Together with the growth scenarios, they form the basis for a profound numerical framework that simplifies the selection and dimensioning of a suitable system solution from SSI SCHAEFER. At the same time, it forms the basis for reliable ROI calculations.

Data analyses are always useful when it is necessary to clarify:

What influences the order structure has on an intralogistics system?
How the growth forecast will affect existing processes - for example with significantly increasing order volumes in e-commerce.
How the dynamic interactions between the various trades behave: for example, high-bay warehouses to shuttle systems to picking stations.

Simulation - Mapping Reality in a Virtual Model

Simulation is an important tool for meeting the need to ensure the functional reliability, performance, and efficiency of logistics concepts. With the help of material flow simulation, it is possible to evaluate the influence of changing order structures or article growth on an intralogistics system. Specific situations that arise in the simulation model due to dynamic and/or stochastic effects can be visualized in a comprehensible manner.

These can be, for example, queues, interactions between preceding and subsequent operations and bottlenecks. Animations and comprehensible presentations of results serve as the basis for this.

In this way, an in-depth understanding of the system behavior can be built up as early as the planning phase. These studies, in which the scientifically based methodology of discrete event simulation (DES) is used, are carried out in accordance with VDI 3633. Experienced, competent, and highly trained specialists are available at SSI SCHAEFER for this purpose. They are in direct contact with relevant specialist departments such as IT and Technology.

artificial intelligence, brain with data streams, networking

Logivision - Interactive Interpretation and Visualization of Results

Open communication with customers is supported and simplified by the interactive LogiVision platform. With this framework, SSI SCHAEFER combines the latest applications of Business Intelligence (BI) and Visual Analytics with data analysis and simulation. This allows complex relationships to be always presented in a comprehensible way. The great advantage of the interactive data analysis platform is also the ability to react quickly and flexibly.

This means that customer requirements that differ from the original specification can be incorporated immediately. LogiVision also reduces the time required for data analysis. Depending on the data quality and complexity of the material flow, it is possible to obtain valid results for further planning within just a few days or weeks.

LogiVision - Advantages

Location-independent project view for all participants
Holistic view of the project
Standardized presentation and common level of knowledge
Customizable level of detail using filters
Continuous, shared evaluations
Strengthening mutual understanding
Encouraging objective discussions and decisions

With LogiVision, SSI Schaefer supports customers and specialized departments from the concept design to the commissioning of the selected system solution. Solutions for future expansions can also be reviewed using the platform.