TY - CPAPER U1 - Konferenzveröffentlichung A1 - Chukomin, Alexander A1 - Hummel, Vera A1 - Hvozdov, Serhiy A1 - Izmailova, Tetiana A1 - Schuhmacher, Jan T1 - Development of an IoT-based inventory management solution and training module using smart bins T2 - Proceedings of the 13th Conference on Learning Factories (CLF 2023), 9-11 May 2023, Reutlingen University, Germany N2 - Flexibility, transparency and changeability of warehouse environments are playing an increasingly important role to achieve a cost-efficient production of small batch sizes. This results in increasing requirements for warehouses in terms of flexibility, scalability, reconfigurability and transparency of material and information flows to deal with large number of different components and variable material and information flows due to small batch sizes. Therefore, an IoT-based inventory management solution and training module has been developed, implemented and validated at Werk150 – the Factory on campus of the ESB Business School. Key elements of the developed solution are smart bins using weight mats to track the bin’s content and additional sensors and buttons which are connected to an IoT – Hub to collect data of material consumption and manual handling operations. The use of weight mats for the smart bins offers the possibility to measure the container content independent of the specific component geometry and thus for a variety of components based on the specific component weights. The developed solution enables focusing on key for success elements of the system to provide synchronization of the flow of materials and information resulting an increase of flexibility and significantly higher transparency of the material flow. AIbased algorithms are applied to analyse the gathered data and to initiate process optimizations by providing the logistics decision makers a profound and transparent basis for decision making. In order to provide students and industry visitors of the learning factory with the necessary competences and to support the transfer into practice, a training module on IoT-based inventory management was developed and implemented. KW - TOC KW - IoT KW - inventory management KW - smart bins KW - AI KW - training module KW - material flow KW - intralogistic KW - bottlenecks Y1 - 2023 UN - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-46503 SN - 1556-5068 SS - 1556-5068 U6 - https://doi.org/10.2139/ssrn.4470627 DO - https://doi.org/10.2139/ssrn.4470627 SP - 7 S1 - 7 PB - Elsevier CY - Rochester, NY ER -