157 significantly increase the transparency of production processes and the comparability of sites. We were also able to retain the strengths of the previous systems. By separating on-premises and additional functionalities, we have created an anti-fragility design that enables continued, autonomous production at each site even in the event of a network failure. This hybrid approach also enabled us to establish a cross-site and scalable MESIIoT environment with low investment and downtime risk. In addition, the Manufacturing Data Platform has helped us to further modernise our IT landscape by providing access to Azure services such as machine learning, the IoT Hub and application programming interface services. These provide a step-by-step approach without disrupting production processes. Diehl Metering used a systematic IT efficiency model to develop its MES-IIoT strategy, which helped to create a future-proof solution architecture that considers budgetary constraints and general conditions. Key factors for its success included the support of the management team to implement an innovative hybrid approach of MES and IIoT cloud. We believe that the selection of the right shop floor IT solutions depends on the individual requirements of an organisation. With Azure, we were able to implement a modern solution architecture that was customised just for us. Sebastian Wäschle is analytics project manager at Diehl Metering I NDU S T R I A L S & MANU FAC TUR I NG
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