The DFKI is currently using the PHYSICS platform to improve the reliability of a production plant prototype for selected scenarios (see Blogpost: Industrial Use Cases of FaaS: The basics you need to know).

Besides the evaluation of the technical feasibility of the PHYSICS platform, the DFKI participated in the event “Innovationstag 2022” of the “Technology Initiative SmartFactory-KL e.V” to evaluate professional opinions regarding the smart manufacturing use case.

The SmartFactory-KL has nearly 50 different industrial and research partners it its partner network where the DFKI is part of.

The possibility to present the project PHYSICS at this event which takes place once a year was very successful. Presenting the idea behind the PHYSICS platform, the status of the smart manufacturing use case and its scenarios delivered important feedback.

Looking through the glasses of other industrial users who visited the PHYSICS event-station (5 groups with each 5-10 people) many conceptual questions and suggestions arose.
Visitors and participants gave different inspirations:

• For example, the prospect of managing and deploying functions with a single mouse click was eagerly awaited. Managing complex systems with many interlocking cogs should be very easy.
• Software and hardware technologies should be used holistically. This means that digital processes such as fault tolerance using cloud technologies should be one building block of many. Therefore, a simple way to identify and keep track of where “low-tech” solutions and actions and the “high-tech” counterpart are or should be deployed would be helpful. For example, a failover scenario should also consider hard real-time processes or good software design, hardware design and operating system design.
• In addition, many participants would welcome the option of deploying functions on self-hosted or alternative cloud instances, rather than using the current cloud market leaders. Independence and individual configurability have a high priority.

The post DFKI participation in the event “Innovationstag 2022” of the “Technology Initiative SmartFactory-KL e.V” appeared first on PHYSICS.

The SmartFactoryKL e.V. technology initiative was established in 2005 in Kaiserslautern and now consists of more than 50 organizations from different fields of research. The initiative aims to bring together industrial and research partners within a common network in order to implement joint Industry 4.0 projects for the factories. The following demonstrator was chosen to integrate PHYSICS related components and increase its usability. With lot-size-one production, it assembles user-customized USB pen drives using different autonomous and interoperable modules, each dedicated for a single step of the production. Modules are self-contained and independent of others. Their capabilities are abstracted by skills, which are then orchestrated by a higher-level software component (Production Flow Control, PFC). The software architecture of the overall infrastructure maintains how the product is produced, by generating a recipe for manufacturing, scheduling the products by their priorities, production time, etc. The software architecture is designed with a service-oriented approach, which enables decoupling and an easier conversion into Function as a Service (FaaS) approach in PHYSICS project.

This demonstrator produces USB sticks customized for user needs. A user can choose the color and the data to be inserted into the stick.

After an order is placed, the transport rail moves the product tray between the modules to complete the production.

After the production is complete, a quality check (QC) using artificial intelligence (AI) is performed in the QC module (Figure 3, bottom right). Current implementation gives possibilities for two improvements:

1. Currently, if a software failure at QC module occurs, no automatic QC is performed. In that case, the operator must check the integrity/quality of the product, manually. Maintenance user should also fix the software problem to enable automatic QC for later.
2. If the output of the AI QC’s certainty level is below the threshold, the QC must be done manually by the operator to cover for edge cases.

Both issues decrease the production rate. Therefore, DFKI introduced two use cases dealing with these two issues. With PHYSICS project, DFKI aims to improve the production rate in case of software failures and/or low QC certainty levels.

For the first issue, a failover scenario is designed. A local Edge infrastructure with PHYSICS components was set up and connected to the central PHYSICS platform available in Amazon Web Services (AWS). This in combination with FaaS enables QC to be performed regardless of its physical location. In case of an issue, the maintenance user will be informed about the problem, and they can continue working on it without time pressure. It is expected that there will be no downtime, as long as an active Internet connection is available.

For the second issue, if a QC certainty level is below a specific threshold, the PHYSICS platform will invoke an additional QC service at AWS to perform more complex computations using more computing resources. It is expected that certainty level improves such that a manual inspection is rarely required. Due to the pay-per-use nature of FaaS, this additional QC is very economical.

Although as a test pilot plant, SmartFactoryKL does not have a requirement on production rates, these use cases enable us to test the FaaS approaches and transfer the knowledge into the industry to solve similar problems in the real factory environments.

The post Industrial Use Cases of FaaS: The basics you need to know appeared first on PHYSICS.