- Smart manufacturing
- Smart factory
- Light out manufacturing also known as dark factories
- Industrial internet of thing also called internet of things for manufacturing
The industry 4.0 is said to have extensive dependency on the 3D printing technology.
Smart manufacturing |
Smart factory
Dark factory |
Internet of things |
Before Industry 4.0 :
History of industry 4.0
German strategy :
The characteristics given for the German government's Industry 4.0 strategy are: the strong customization of products under the conditions of highly flexible (mass-) production.The required automation technology is improved by the introduction of methods of self-optimization, self-configuration,self-diagnosis, cognition and intelligent support of workers in their increasingly complex work.The largest project in Industry 4.0 as of July 2013 is the BMBF leading-edge cluster "Intelligent Technical Systems Ostwestfalen-Lippe (it's OWL)". Another major project is the BMBF project RES-COM, as well as the Cluster of Excellence "Integrative Production Technology for High-Wage Countries".In 2015, the European Commission started the international Horizon 2020 research project CREMA (Providing Cloud-based Rapid Elastic Manufacturing based on the XaaS and Cloud model) as a major initiative to foster the Industry 4.0 topic.Principles and goals:
- Interconnection: The ability of machines, devices, sensors, and people to connect and communicate with each other via the Internet of Things (IoT) or the Internet of People (IoP).
- Information transparency: The transparency afforded by Industry 4.0 technology provides operators with vast amounts of useful information needed to make appropriate decisions. Inter-connectivity allows operators to collect immense amounts of data and information from all points in the manufacturing process, thus aiding functionality and identifying key areas that can benefit from innovation and improvement.
- Technical assistance: First, the ability of assistance systems to support humans by aggregating and visualizing information comprehensively for making informed decisions and solving urgent problems on short notice. Second, the ability of cyber physical systems to physically support humans by conducting a range of tasks that are unpleasant, too exhausting, or unsafe for their human co-workers.
- Decentralized decisions: The ability of cyber physical systems to make decisions on their own and to perform their tasks as autonomously as possible.Only in the case of exceptions, interferences, or conflicting goals, are tasks delegated to a higher level.
Components of Industry 4.0:
“Industry 4.0” is an abstract and complex term consisting of many components when looking closely into our society and current digital trends.- Mobile devices
- Internet of Things (IoT) platforms
- Location detection technologies
- Advanced human-machine interfaces
- Authentication and fraud detection
- 3D printing
- Smart sensors
- Big data analytics and advanced algorithms
- Multilevel customer interaction and customer profiling
- Augmented reality/ wearables
- Fog, Edge and Cloud computing
- Data visualization and triggered "real-time" training
- Cyber-physical systems
- IoT
- Cloud computing
- Cognitive computing
Industry 4.0 Drivers:
What all these components have in common, is that Data and Analytics are their core capabilities. “Industry 4.0” is driven by:Vertically, Industry 4.0 integrates processes across the entire organization for example processes in product development, manufacturing, logistics and service whereas horizontally, Industry 4.0 includes internal operations from suppliers to customers plus all key value chain partners.
Integrating new methods of data collection and analysis for example through the expansion of existing products or creation of new digitised products, helps companies to generate data on product use and thus, to refine products in order to meet best the customers’ needs.
3. Digital business models and customer access:
Reaching customer satisfaction is a multi-stage, never-ending process that needs to be modified currently as customers’ needs change all the time. Therefore, companies expand their offerings by establishing disruptive digital business models to provide their customers digital solutions that meet their needs best.
Effects :
Challenges
Economic
- High economic costs
- Business model adaptation
- Unclear economic benefits/excessive investment
Social
- Privacy concerns
- Surveillance and distrust
- General reluctance to change by stakeholders
- Threat of redundancy of the corporate IT department
- Loss of many jobs to automatic processes and IT-controlled processes, especially for blue collar workers
- Lack of regulation, standards and forms of certifications
- Unclear legal issues and data security
- IT security issues, which are greatly aggravated by the inherent need to open up those previously closed production shops
- Reliability and stability needed for critical machine-to-machine communication (M2M), including very short and stable latency times
- Need to maintain the integrity of production processes
- Need to avoid any IT snags, as those would cause expensive production outages
- Need to protect industrial know-how (contained also in the control files for the industrial automation gear)
- Lack of adequate skill-sets to expedite the transition towards the fourth industrial revolution
- Low top management commitment
- Insufficient qualification of employees.
Applications:
Here are just a few of the possible applications:
Identify opportunities:
Optimize logistics and supply chains:
A connected supply chain can adjust and accommodate when new information is presented. If a weather delay ties up a shipment, a connected system can proactively adjust to that reality and modify manufacturing priorities.
Autonomous equipment and vehicles:
There are shipping yards that are leveraging autonomous cranes and trucks to streamline operations as they accept shipping containers from the ships.
Robots:
Once only possible for large enterprises with equally large budgets, robotics are now more affordable and available to organizations of every size. From picking products at a warehouse to getting them ready to ship, autonomous robots can quickly and safely support manufacturers. Robots move goods around Amazon warehouses and also reduce costs and allow better use of floor space for the online retailer.
Additive manufacturing (3D printing):
This technology has improved tremendously in the last decade and has progressed from primarily being used for prototyping to actual production. Advances in the use of metal additive manufacturing have opened up a lot of possibilities for production.
Internet of Things and the cloud:
A key component of Industry 4.0 is the Internet of Things that is characterized by connected devices. Not only does this help internal operations, but through the use of the cloud environment where data is
stored, equipment and operations can be optimized by leveraging the insights of others using the same equipment or to allow smaller enterprises access to technology they wouldn’t be able to on their own.
The aerospace industry has sometimes been characterized as "too low volume for extensive automation" however Industry 4.0 principles have been investigated by several aerospace companies, technologies have been developed to improve productivity where the upfront cost of automation cannot be justified, one example of this is the aerospace parts manufacturer Meggitt PLC's project, M4.
While Industry 4.0 is still evolving and we might not have the complete picture until we look back 30 years from now, companies who are adopting the technologies realize Industry 4.0′s potential. These same companies are also grappling with how to upskill their current workforce to take on new work responsibilities made possible by Internet 4.0 and to recruit new employees with the right skills.
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