Smart Manufacturing

Smart Manufacturing for increased resilience and interplay.

Motivation

Current developments show that serverless computing is a subject of undergoing intense study in IT. As Service oriented architecture or Microservice-Architecture helped in increasing the flexibility and stability of manufacturing plants, it is anticipated that FaaS will help in addressing multiple challenges.

Use Case Objectives
  • Making systems more robots by real-time deployment and/or redundancy of software/control functions
  • Make use of 3rd party knowledge and services e.g. in using optimization platforms or machine learning models and divide logical and physical deployment e.g. in deep-learning processes
  • Low-risk investments by effortlessly coupling cloud or IT solutions with the factory, e.g. being able to upgrade small chunks of software on a machine/production line and make use of further value-adding software functions independently of the physical deployment of these functions

The use case will demonstrate how to transform manufacturing architectures to serverless architecture, it will make use of the FaaS principle and applied semantics to enhance the flexibility and adaptability of modular production lines, demonstrate how FaaS helps in a variety of optimization problems, e.g. in hierarchical task planning and how it helps in improving the robustness of value-adding production services and therefore the overall system

Use Case Leader

German Research Center for Artificial Intelligence (DFKI), Department of Innovative Factory Systems (IFS), Kaiserslautern, founding member of Technology Initiative SmartFactory-KL e.V, is hosting one of the most advanced manufacturing-independent and flexible Industrie 4.0 production lines maintained together with the Technology Initiative SmartFactory-KL in Kaiserslautern. SmartFactory-KL is a non-profit association, which has the goal to leverage IT technologies into the factory of the future by providing an industrial-grade testbed for testing new technologies. The basic concepts are to treat all academic and industrial members equally and to realize manufacturer-independent solutions. DFKI will be responsible to evolve the current architecture to a FaaS-enabled architecture, providing the relevant scenarios together with FuJ, and developing and evaluating relevant algorithms (AI-enhanced or stochastic optimization) and the physical and logical distribution. SmartFactory initiative and will cooperate in demonstrating the benefits of PHYSICS and how it could be applied to real-world scenarios.

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