In addition, the push towards electrification adds additional processes, regulations, and supply chain complexity to automotive manufacturing that the industry must grapple with. For example, current regulations require Electric Vehicle(EV) manufacturers to document and track all the components and raw materials used to produce their products throughout the lifecycle. From a compliance perspective, this is all new for them.
To overcome these obstacles, automotive manufacturers are digitally transforming themselves and adopting Industrial IoT (IIoT) methods to track, report, and analyze their data. Digitalization helps them maintain strict quality control, manage raw materials and inventory, and enable continuous data integration between operational technology (OT) and information technology (IT) systems. Bidirectional data movement between OT and IT systems is key to power IIoT use cases. Automotive manufacturing companies rely on HiveMQ to ensure bidirectional data movement to support use cases such as:
HiveMQ enterprise MQTT platform connects data from various sources in your manufacturing value chain, including external sources like raw materials, suppliers, and shipping updates. HiveMQ then aggregates them in the enterprise data lake.
HiveMQ provides the data platform to support supply chain management, regulatory reporting, process optimization, and quality management in a secure and reliable way.
Automotive Manufacturing companies are powering their Digital Transformation using IIoT and Industry 4.0 technologies. Adopting IIoT technologies brings multiple advantages, including global supply chain visibility, product innovations, improved product quality, increased process efficiency, reduction in cycle times, reduction of product waste, better adherence to regulatory guidelines, and reduction of carbon footprint, to name a few.
However, there are multiple data challenges to overcome while implementing IIoT solutions, including:
You need a solution that can consistently overcome these data challenges, and MQTT is a lightweight publish/subscribe protocol that does that by:
HiveMQ is an MQTT-Sparkplug based messaging platform designed for fast, efficient, and reliable data movement to and from food and beverage manufacturing plant machines, processes, applications, and enterprise systems on-premise or on the cloud. These technologies support IIoT and Digital Transformation within your organization.
Discover the full features of the HiveMQ platform for building IIoT solutions for the Automotive manufacturing industry.
Here are the data architecture diagrams for two of the common use cases for Automotive Manufacturing enabled by HiveMQ:
At the heart of Digital Transformation and digitization initiatives in Automotive manufacturing is Industrial Internet of Things (IIoT) technologies, which enable use cases including cloud digital twins, analytics, machine learning and artificial intelligence. However, Automotive manufacturers still grapple with challenges like legacy equipment with proprietary protocols, unreliable connections, and complex infrastructures. These challenges make it difficult to implement IIoT solutions. Implementing supporting technologies, like HiveMQ, offers solutions to most of the issues mentioned above.Try HiveMQ broker and see how we can help overcome some of the challenges.