Factory Operations Visibility & Intelligence
Overview
Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle. Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.
Applicable Industries
- Heavy Vehicle
- Automotive
Applicable Functions
- Discrete Manufacturing
Market Size
The industrial control and factory automation market are expected to reach USD 269.5 billion by 2024 from USD 160.0 billion in 2018, at a CAGR of 9.08%.
Source: markets and markets
Case Studies.
Case Study
Tetro Factory's Efficiency Improvements
Tetro factory had the following challenges: - Controlling the production flow, tracing mistakes and optimizing performance. - Running a fully integrated knowledge-based business with systems that work seamlessly together. - Centralizing manufacturing production data into one system that can be viewed and analyzed from a single-point-of-entry. - Pinpointing in real-time which stations are compromising production and what can be done to restore and improve efficiency. -Implementing preventative maintenance and ensuring minimum downtime. - Monitoring energy consumption and optimizing material consumption per product.
Case Study
Real-Time IoT Tracking and Visualization Improve Manufacturing
Shimane Fujitsu, a wholly-owned subsidiary of Fujitsu and a leading manufacturer of business notebooks and tablets, set out to improve processes where factory inspections found product errors. Prioritizing product rework based on shipping date was challenging, and it caused Shimane Fujitsu to incur additional shipping fees. The company needed a way to collect data to better track the location of products in the rework cycle as well as monitor progress in real time. The collected data would also help process analysis for future improvements.
Case Study
KPMG’s Distributed Ledger Services meet Luxembourg
In the upcoming years, we believe that interest in distributed ledgers will continue to grow around the globe.In Luxembourg, attention on the technology has surged in recent months, with digital players involved in DLT being increasingly attracted to Luxembourg.All industries combined, public institutions and private companies alike, are shifting together towards automating their internal and external processes. This phenomenon is triggering a digital convergence between market participants and will bring new opportunities for collaboration.New modes of transactions and user interactions for current products and services are emerging. We believe that industries should now internally improve their skills and competencies in order to be ready when the technology will reach its full maturity.