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Industrial Internet of Thinks (IIoT)
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Small Business Advisor Training . INFO
MIKE SHEW'S HOW TO CREATE A SMART FACTORY - INDUSTRY 4.0
The Value of Implementing Industry 4.0!
Companies that fail to optimize their plants for Industry 4.0 implementation will not survive in the near future. To move into Industry 4.0, companies must have Industry 3.0 fully implemented and optimized. Computer technology, electronic systems, and automation became the dominant force in the industrial market, which was the catalyst for Industry 3.0. Old factories became automated and shifted from analog and mechanical systems to electrical and digital strategies—industry 3.0 automated processes on the production line, replacing blue-collar jobs with white-collar jobs.
Leading the pack, companies capture all the benefits across the entire manufacturing value chain, increasing production capacity and reducing material losses, improving customer service and superior delivery lead times, achieving higher employee satisfaction, and reducing their environmental impact.
Across a wide range of industry sectors, it is common to see (30 to 50 percent) reductions in machine downtime, (10 to 30 percent) increases in throughput, (15 to 30 percent) improvements in labor productivity, and (80 to 85 percent) more accurate forecasting.
#Industrial #Internet of #Things #(IIoT)
At the heart of #Industry 4.0 is the Internet of Things #(IIoT).
#Industrial #Internet of #Things #(IIoT) refers to a network of physical devices that are digitally interconnected, facilitating the communication and exchange of data through the Internet. These smart devices could be anything from smartphones and household appliances to cars and even buildings.
Industrial IoT is a subset of the Internet of Things (IoT). Various sensors, Radio Frequency Identification (RFID) tags, software, and electronics are integrated with industrial machines and systems to collect real-time data about their condition and performance. IIoT has many use cases, with asset management and tracking being one of the significant applications of the technology today.
For example, IIoT can prevent overstocking or understocking of inventory. One way to achieve this is to use shelf-fitted sensors and weighing devices to broadcast inventory information to your warehouse management system. Putting such a system in place allows warehouse managers to monitor inventory levels, thereby gaining real-time visibility and control over the inventory. #Industry 4.0.
Industrial Internet of Things (IIoT).
#Big #Data Analytics & Internet of Things (IoT)
Big Data refers to large and complex data sets generated by IoT devices. This data comes from a wide range of cloud and enterprise applications, websites, computers, sensors, cameras, and much more, all coming in different formats and protocols. In the manufacturing industry, different data types, including data coming from production equipment fitted with sensors and databases from ERP, CRM, and MES software systems. How can manufacturers convert data collected into actionable business insights and tangible benefits?
With #Data #Analysis
When it comes to data, data analytics is essential to convert data to information that can deliver actionable insights. Machine learning (ML) models and data visualization can aid data analytics processes. Roughly speaking, machine learning (ML) techniques apply powerful computational algorithms to process massive data sets, while data visualization tools enable manufacturers to more easily comprehend the story the data tells.
By taking isolated data sets and collecting and analyzing them, companies can now find new ways to optimize the processes that have the most significant effect on yield. #Industrial #Internet of #Things #(IIoT) and #Industry 4.0.
Industrial Internet of Things (IIoT).
#Cloud #Computing
With #Industrial #Internet of #Things, #(IIoT), and #Industry 4.0, data is generated at staggering speed and high volumes, making it impossible to handle manually. This creates a need for an infrastructure that can store and manage this data more efficiently.
Cloud computing offers a platform for users to store and process vast amounts of data on remote servers. It enables organizations to use computer resources without developing a computing infrastructure on-premise. Cloud computing is not a solution on its own, and it allows the implementation of other solutions once required by heavy computing power. The capability of cloud computing provides scalable computing resources, and storage space enables companies to capture and apply business intelligence through the use of big data analytics, helping them consolidate and streamline manufacturing and business operations.
According to one IDC survey, Quality Control, Computer-Aided Engineering, and Manufacturing Execution Systems (MES) are the three most widely adopted systems in the cloud. Cloud computing is transforming virtually every facet of manufacturing, from workflow management to production operations and even product qualification.
Industrial Internet of Things (IIoT).
#Additive #Manufacturing
Together with robotics and intelligent systems, additive manufacturing (AD), or 3D printing, is a crucial technology driving Industry 4.0. Additive manufacturing uses digital 3D models to create parts with a 3D printer layer by layer. Within Industry 4.0, 3D printing is emerging as a valuable digital manufacturing technology. Once solely a rapid prototyping technology, today, AM offers a colossal scope of possibilities for manufacturing, from tooling to mass customization across virtually all industries.
It enables parts to be stored as design files in virtual inventories to be produced on-demand and closer to the point of need. A model is known as distributed manufacturing. Such a decentralized approach to manufacturing can reduce transportation distances and so costs and simplify inventory management by storing digital files instead of physical parts.
Distributed manufacturing appears in the limelight due to several reasons. Rising energy prices have dramatically increased the cost of long-haul shipping, while concern over climate change has spotlighted its malignant environmental effects. #Industrial #Internet of #Things #(IIoT) #Industry 4.0.
Industrial Internet of Things (IIoT).
#Manufacturing So Smart and Easy, Anything is Possible
The Implementation of #Industrial #Internet of #Things #(IIoT), and #Industry 4.0.
There is enormous potential for #(IIoT) in smart manufacturing. However, production beyond certain limits is stalled, so how do you increase profits? You can’t increase production because there is no demand. So, look at the backend process and make them all efficient. This is possible only when you have precise details about your production process. This is where IIoT comes into the picture. Sensor generating data can be implemented at each cycle of production so that you can get the data, analyze it, and take corrective action to increase efficiency, which will increase profitability.
It is not easy to implement (IIoT) in current and tenured organizations. However, you can better implement it in newly established manufacturing facilities because the results achieved of implementation with a smart manufacturing concept are there from the start of the design process.
Smart manufacturing is there in bits and pieces in some organizations. However, you can’t change the basic design of machines or a factory system to implement all the sensors and other related technology. This makes the implementation of (IIoT) in current or tenured manufacturing facilities difficult and, in some cases, impossible.
Industrial Internet of Things (IIoT).
#IIoT #Growth
Heightening demand for artificial intelligence, twin technology, and precision farming by industries worldwide will stoke the market growth, suggests Fortune Business Insights™ in its report titled “Internet of Things (IoT) Market, 2020-2027”. The report mentions that the market stood at USD 250.72 billion in 2019. The (IoT) manufacturing market size is projected to grow from USD 12.67 billion in 2017 to USD 45.30 billion by 2022, at a compound annual growth rate (CAGR) of 29.0% during the forecast period of 2017–2022.
Major forces driving #IoT in the manufacturing market are the growing need for centralized monitoring and predictive maintenance of manufacturing infrastructure. In addition, the increasing demand for agile production, operational efficiency and control, demand-driven supply chain, and connected logistics are also expected to drive the market.
The #blockchain market in manufacturing has yet to conceptualize fully, and thus expecting the need to start generating significant revenue from 2020 onwards. However, many organizations have already started investing and exploring the benefit of blockchain technology in manufacturing ecosystems. #Industrial #Internet of #Things #(IIoT), and #Industry 4.0.
Industrial Internet of Things (IIoT).