Capacity planning and offer calculation with data mining within the regeneration of transformers (T03#)

• Subject Area: Production Systems, Operations Management, Quality Management and Factory Planning
• Term: from 2017 to 2018
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 119193472

Within the transfer project, the engine-specific findings of the SFB 871 regarding the planning and control of regeneration processes with fuzzy load information are generalized and transferred to the regeneration of transformers. A comprehensive damage library and data mining methods will be used to predict a realistic load level of the involved work systems, caused by future regeneration orders. On this basis, capacity planning is carried out and load controlling actions will be conducted. A challenge within the project will be the integration of the regeneration process in the existing production system. In an additional step, the predicted load level data will be used for an offer calculation methodology that will be developed within the project.

• DFG Programme: Collaborative Research Centres (Transfer Project)
• Subproject of: SFB 871: Regeneration of Complex Capital Goods
• Applicant Institution: Gottfried Wilhelm Leibniz Universität Hannover
• Business and Industry: Siemens AG Energy Sector, Power Transmission Division; Dr. Berthold Sedlmaier; General Manager Traction Transformers
• Project Head: Professor Dr.-Ing. Peter Nyhuis