Current Research Projects of the Institute of Production Systems and Logistics

  • GeProVar - Procedure for the operationalization of workload flexibility to handle fluctuations in demand in interlinked work systems of SMEs
    The GeProVar research project aims to develop both a method and a software demonstrator that SMEs can use to operationalize load flexibility and thus implement this capability in their own production system in line with requirements. This should make it possible to quickly select the optimum combination of load balancing measures to handle short-term fluctuations in demand. The efficient use of load balancing measures can reduce the need to maintain capacity reserves or invest in new capacity to build them up. Linking the operationalization of the individual measures, their prerequisites and their dependencies and synergies through combinations of measures should be used as a basis for evaluation and implementation, especially in SMEs.
    Year: 2022
    Funding: AiF BVL
    Duration: 05/2022 – 10/2024
  • ProKI - Demonstration and Transfer Network AI in Production (PROKINETZ) Location: Hanover
    The AI in Production Demonstration and Transfer Network (PROKINETZ) aims to promote the use of artificial intelligence (AI). Small and medium-sized enterprises (SMEs) often lack the resources to try out and promote the use of AI. To this end, Leibniz University Hannover (LUH) is establishing one of eight centers across Germany to test application scenarios. At the Hannover site, the focus is on the development of AI for separating manufacturing processes, where SMEs have access to six AI demonstrators related to manufacturing technology. The areas of application of the demonstrators range from automated quality control for grinding processes and on-site data acquisition to the demonstrator "Personnel resource planning for cross-process chain optimization" provided by the IFA. Based on AI approaches, the IFA demonstrator provides a targeted performance-optimized assignment (for high workloads) or a targeted learning-optimized assignment (for low workloads) as part of the allocation planning for machining employees and machine tools. In this way, employees can be precisely assigned to the machine tools in the entire machine park on site at the SME in work preparation or production planning.
    Led by: Maik Nübel
    Year: 2022
    Funding: BMBF
    Duration: 10/2022 – 12/2024
  • HyFlowJobShop - Hybrid, flow-oriented assembly organization
    The HyFlowJobShop research project aims to combine the organizational forms of the flow and workshop principle. The previous pure forms of organization can no longer meet the growing requirements with regard to increasing variant diversity and reduced amortization times for production systems due to shorter production life cycles. The combination of workshop and flow assembly into hybrid forms of organization should offer companies an opportunity to position themselves in the area of conflict between the required flexibility and the achievement of production logistics targets as well as the resulting costs. In order to quantify the advantages of hybrid forms of organization, various system configurations are examined as part of a simulation study in order to identify interdependencies and influencing variables.
    Led by: Dorit Schumann, Marco Bleckmann
    Year: 2022
    Funding: DFG
    Duration: 08/2022 – 06/2024
  • Exzellenzcluster PhoenixD: Photnics, Optics, Engineering – Innovation Across Disciplines
    The Cluster of Excellence PhoenixD is a broad-based initiative to redefine the design and manufacturing of precision optics. It is based on the interweaving of optics design, optics simulation and advanced manufacturing methods into a single integrated platform to create custom and highly functional precision optical systems are designed and manufactured. Today, the manufacture and operation of such systems rely on complex multi-stage and often manual work and laborious adjustment. The associated high costs prevent their widespread use in the life sciences, in production technology, in sensor technology sensor technology and in daily life.
    Year: 2019
    Funding: DFG
    Duration: 01/2019 - 12/2026