How does manufacturing visibility work?

The manufacturing visibility is enabled by implementing Industry 4.0 technologies, including the following: Industrial internet of things (IIoT) Big data analytics Manufacturing execution systems (MES) integration Big data analytics

How does data visibility help manufacturing operational efficiency?

The insights extracted from the analyzed data help stakeholders to do the following: Detect bottlenecks Run predictive maintenance Monitor item quality automatically Make data-backed decisions

What are the use cases of manufacturing visibility?

The three real-world applications of manufacturing visibility implementation are: Magna International: a 40% increase in on time deliveries thanks to fast manufacturing disruptions identification and response. Univar Solutions: real-time performance tracking and notifications when disruptions are detected Robert Bosch GmbH: analyze data collected by sensors and IoT devices to optimize processes and increase productivity.

How do I implement manufacturing visibility?

The implementation of manufacturing visibility comprises five crucial stages, which are listed below. Overall assessment. Analyze the as-is architecture to outline the starting point of digital transformation. Also, business goals should be defined to pick the best tools and technologies. Hardware integration. Implement IIoT devices and smart sensors. Also, a local network must be developed to connect all the devices. Data collection and organization. Implement an on-site or cloud-based server for storing and processing collected shop floor data. Business intelligence implementation. Develop a BI solution for visualizing manufacturing data and extracting insights. KPI development. Set key performance indicators to understand the drop/rise in production performance.

Maryna Chut, Author at CodeIT

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Maryna Chut

Chief Business Development Manager (Europe)

Maryna, Chief Business Development Manager (Europe) at CodeIT, has over nine years of experience in the IT industry. She specializes in developing digital solutions for the manufacturing industry with a master’s degree in automation engineering technology.

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