This week, we could celebrate our first tech-event about the railway infrastructure diagnosis vehicle gDFZ from SBB. Joel Casutt, Florentin Marty and Patrick Wernli led the audience with over 200 guests through the vision, how the Zentrales System works, collects data, computes data makes them ready and visualizes them, as well as which sensors are utilized and what first learnings about fault detection on the rails could be observed.
Industry 4.0, Internet of Things, Cloud – all these terms are currently being discussed all over. However, most of the time, a common understanding is missing about the meaning of these terms and the way they are to be implemented in the industry. Also, the benefit for the customer is not always clear.
During a recent round table of the forum “Laufenburger Talks”, Dr. Johannes Gassner was invited as an expert to talk about this topic.
The article „Swiss KMU is ready – but the benefit is still unclear” was subsequently written about this roundtable and was published twice:
- Article in the “Technische Rundschau”, the Swiss industry magazine
- Article in the “Polyscope”, the magazine for electronics and automation
The “Internet of Things”, abbreviated IoT, has the intention to equip many electrical appliances with the ability to communicate with each other via the internet. Industry 4.0 stands for the pooling of technology trends and a vision of the way the manufacturing business may look in the future.
The „Laufenburger Talks“ offer a platform to discuss interesting, controversial and current topics among experts.
Contact person at SCS
Modern print media are highly customized products, which efficiently appeal to lots of customer groups with well-defined contents and enclosures. The logistical management for hundreds and thousands of enclosures as well as the optimal planning of the complex production requires sophisticated algorithms, i.e. solution strategies. The corresponding specialised mathematical/IT area is called operations research.
The SCS Optimizer Game under this link visualizes the complexity of a shipping room in a playful way: enclosures for regional editions of a newspaper (lines in a table) have to be distributed to the feeding (columns of the table), in a way that best reduces the change of enclosures to the feeding (every change involves staff and time expenses). The challenge for the player lies in the manual planning of a given production (during the game, the actual as well as the minimal possible number of changes is displayed).
The tasks get harder with each level and the operating conditions change: on level 4, colour fidelity needs to be examined or, on level 5 and 6 the order of the print editions may be changed.The automated, algorithm based planning rapidly proves to be way superior compared to the manual planning (also, it is many times faster and more reliable).
The shipping room problem appears in different shapes in many other practical applications, of which some can be shown in the game: for instance, instead of enclosures that need to be associated to feeders, tools of a replaceable head of a CNC machine could be matched, baking ingredients may be distributed or the staff and vehicle demand of a pizza delivery service could be planned.
SCS gladly supports you with the development of your specific planning- and decision making tool. It always starts with an analysis of the task, in order to sort possible optimizing criteria according to their relevance and practicability. We are in constant contact with the academic world, which allows recent research results to be implemented in your project without any detours.
Contact person at SCS: Florentin Marty
The Hamburg, Germany based company GLP systems GmbH is an innovative specialist in the area of information and automation systems for clinical laboratories. GLP systems has revolutionised the carriage of the samples with a new approach: just like on a Carrera toy racetrack, the sample vessels are being transported with intelligent vehicles, so called CARs, on simple tracks through the laboratory and the cooling chambers. Compared to current sample transportation systems, this concept features a very high reliability and durability, since the individual CARs can easily be removed and replaced. Expensive maintenance can thus be avoided and further enlargements of the system are easy to realise.
In order to avoid faulty analytical jobs, the order and the vessel type have to match for every CAR. GLP systems searched for a partner, who ensures this match with a camera system: the computer vision solution of SCS supports a purely optical analysis of the main characteristics of the vessels (shape, colour). Based on a precedent autonomous training, all common types can be classified.
This concept has been evaluated using Rapid Prototyping in Matlab and has then been transferred onto the leanXcam platform. A special focus is placed on the illumination. Thanks to the integrated Linux operating system and the existing protocols, a network-based connection to the lead system could easily be established. With the leanXcam-based classification, GLP systems has thus found a valuable vision solution that was easy to integrate.
Contact person at SCS