Accelerating the Industrial Internet of Things
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Fujitsu Case Studies IIC Factory Operations Visibility & Intelligence Testbed

IIC Factory Operations Visibility & Intelligence Testbed

Fujitsu
IIC Factory Operations Visibility & Intelligence Testbed
Equipment & Machinery
Electronics & Embedded Devices
Production - Manufacturing
Maintenance
Contextual and background data is often buried and in various formats; Storage and distribution of large amounts of raw data requires considerable compute resources and infrastructure; The cost of installation and maintenance of new computers, servers, and network equipment to collect and distribute data needs to be minimized.

GOAL
Establish new open environments for future factory operation visualization scenarios, with data upload and simulation capability to augment physical factory equipment; Provide a cloud-based platform that can combine factory sensor and operational data to enhance the visibility and analysis of key manufacturing processes, thereby enabling improvement of operational efficiency.
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*This is an IIC testbed currently in progress.*

PARTICIPATING MEMBERS
Fujitsu Limited, Cisco

MARKET SEGMENT
Manufacturing of complex, composite products (i.e. IT equipment - notebooks, network appliances, etc).

FEATURES
Ability to combine, visualize, and correlate diverse data sources that greatly vary in nature, origin, and lifecycles; Available as a cloud-based service; Support for Manufacturing and Repair process control based on priorities in delivery schedules; Extensibility with enhanced visual rendering tools for process status and flow, product tracking, schedules, and machinery status; Plug-in capabilities for analytics and diagnostics.

TESTBED INTRODUCTION
The Factory Operations Visibility & Intelligence (FOVI) Testbed makes it possible to simulate a factory environment in order to visualize results that can then be used to determine how the process can be optimized.

The work on FOVI stems from two separate Operations Visibility and Intelligence applications in two factories in Japan: one for notebook computers and another for network appliances. Both use cases have a lot in common with respect to processing data, analytics, and visualization technologies. Ideally they should use a common software foundation while their future evolution requires a more open architecture.

Work on the testbed will be led by Industrial Internet Consortium member Fujitsu Limited with Industrial Internet Consortium founding member, Cisco, collaborating on the in-factory testbed edge infrastructure.
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IOT
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Emerging (technology has been on the market for > 2 years)
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More timely product manufacturing and shipment
Reduced rate of product rejection, faster product repair turnaround, and related cost savings
Enhanced product quality and production throughput, ability to handle higher volume orders.
Hardware
Software
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
Examples of business consulting services include go-to-market design and execution, business model development, channel development, and corporate M&A.
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