How To Learn Industry 4.0?

The industry 4.0 is the usage of fresh smart technologies for the enduring automation of outdated manufacturing and industrial practices. The internet of Things (IoT), cloud computing, artificial intelligence and machine-to-machine communication (M2M) are all integrated at large scale for increased automation. This whole process may analyze and diagnose problems without the need for human intervention. Technologies like Artificial intelligence, machine learning, cloud computing, data base technologies, big data analytics etc. are now a core requirement for industrial manufacturing companies.

History

German engineer, economist and executive chairman of the World Economic Forum, Klaus Martin Schwab first introduced the phrase Fourth Industrial Revolution (Industry 4.0) in 2015-16.

Industry 1.0

It was steam production & driving machines with steam power. From 1770 – 1870 steam power drove flour mills to grind wheat & other small factories.

Industry 2.0

It was electrical power production & driving machines with electrical power. Machines were crude & "manual" with simple pressure, temperature gauges installed on the machines for reading the data locally on the equipment.

Industry 3.0

It was DCS system, data gathering by remote sensors connected by cables. The inventions of the semiconductor, pc and therefore the personal computer and the internet marked the Third Industrial Revolution starting in the 1960s. This is also mentioned because the "Digital Revolution".

Industry 4.0

IT technologies have been changed manufacturing systems from simple steam engine in 1700’s to today’s AI & machine learning based manufacturing where equipment communicates with each other using software technologies.

Key components of Industry 4.0

• Mobile devices – laptop, iPad, Smart Phone

• Location detection technologies including sensors on the production floor

• Smart sensors on machines giving real time data

• Big data analytics & advanced algorithms including artificial intelligence & machine learning

• Lights out manufacturing ~ minimum head count on production floor with maximum automation

• Augmented reality / wearable headsets with video screens for training

Four design principles of Industry 4.0

1. Interconnection (Connection and communication ability of machines, sensors, and people through IoT and IoP)

2. Transparency of information (Collection of vast amounts of data and information from all points in the manufacturing process by operators to improve functionality)

3. Technical assistance (The ability to assist human with hard tasks)

4. Decentralized decisions (The ability of cyber physical systems to form decisions on their own and try to do their tasks as autonomously as possible)

Industry 4.0 & Team Dynamics– Organizational Structure & Teams In Modern Manufacturing Organization

One of the top organizational chart components is "team" and the related concept of team development & team building. Teams can be both horizontal and vertical in the organization chart.

While an organization consists of multiple sets of people who combine their individual skill sets, management know how & competencies to work together - the quality of organization chart ultimately depends on the combined competencies of the persons working in teams.

Any organization having more than 500 persons cannot function without task based teams – and without clear team structure and assignments based teams – the industrial manufacturing company will collapse and shut down.

'Digital Twins' Technology Deployment For Vaccines & New Medicines Development

Digital Twin technology has long played a role in medical research, specifically in the area of clinical trials, where they can help measure the effectiveness of a therapy by applying a control to one of a genetically-similar pair.

A new company founded by a former principal scientist at Pfizer, has developed a way of digitizing this concept through the use of AI.

Unlearn.AI, has built a machine learning platform that builds "digital twin" profiles of patients that become the controls in clinical trials.

Unlearn approaches the thought of building these digital twins as a classic machine learning problem, using "clinical trial datasets from thousands of patients to create the disease-specific machine learning models used to create Digital Twins and their corresponding virtual medical records."

These are quite simple medical profiles - they match people consistent with demographics, lab tests and biomarkers.

The idea is that by building AI-based twins, there’s less of a requirement to seek out similar actual pairs of individuals — actual twins, even — to run tests.

Google Ad Words Using Neural Networks, Machine Learning & Advance Algorithms

Google advertisement system is based on software cookies and on keywords requested by selling companies which want to advertise on Google. It uses these search words to prioritize & place relevant advertising on pages where Google’s advanced algorithms & AI software determines the highest relevance.

Clients companies of Google pay to Google when each user clicks on the Google searched & suggested company to the selling company portal.

The Google Ads covers the entire world & includes local, national, and international sellers ~ based on the user’s location on the planet.

Google's text advertisements are precise, focused, 95 % accurate ~ consisting of three headlines with a maximum of 30 characters each, 2 descriptions with a maximum of 90 characters, and a display two web sites links of 15 characters each.

Industry 4.0 technologies being deployed in India

1 - CtrlS

CtrlS is ranked as Asia Pacific’s largest Tier-4 data center and managed services provider. It’s five world scale datacenters in Hyderabad, Mumbai, Noida, Bangalore, and Chennai. The corporate has over 3,500 Indian companies and global multinationals as customers. Its Mumbai facility has 5,000 racks with 200,000 sq. ft. of space and 30 MW of power capacity. The data center in Mumbai is a million sq. ft. which has the capacity to host 50,000 racks and uses 100 MW electrical powers.

2 - ESDS

ESDS has its presence within the subsequent industry verticals – Banking & Finance, Manufacturing, Education, Energy & Utilities, Healthcare, ecommerce, Agriculture, IT, Entertainment & Media, Telecom, Government and Travel & Tourism.

3 - GPX Global Systems Inc.

GPX has one 30,000 square feet data center in Mumbai & second data center in Mumbai is 60,000 square feet with 16 MW total electric power use.

GPX’s customers include Telcos, Cloud Service Providers, Internet Service Providers, CDNs, e-businesses and enterprise clients.

4 - Netmagic (NTT Communications Company)

Netmagic, a wholly-owned subsidiary of NTT Communications Japan, may be a leading managed hosting and multi-cloud hybrid it solution provider with 9 carrier-neutral, state-of-the-art hyperscale and high-density data centers.

From India it serves quite 2,000 enterprises globally including NTT Communication’s customers across Americas, Europe and Asia-Pacific region.

5 - NxtGen

NxtGen enables its customers to make their digital business without investing and managing complex IT infrastructure, by leveraging its hyper-converged infrastructure.

NxtGen deploys and offers IT infrastructure services from both or a mix of on-premise resources and its own facilities – Infinite DatacenterTM, empowering its customers to adopt the newest hybrid computing model.

Oracle eAM – AI & Machine Learning Systems Integration Into Oracle eAM For Industry 4.0

• Artificial intelligence & machine learning integration into Oracle eAM
• Oracle eAM to use AI to predict maintenance schedules
• Oracle eAM to use AI to predict breakdown
• Oracle eAM to urge data direct from apps like Emerson Delta V smart phone app for updating its data base

Industry 4.0 implementation challenges

There are challenges being faced during implementation of Industry 4.0 such as; political

• Lack of regulation, standards and sorts of certifications
• Unclear legal issues and data security),

Social

• Privacy concerns
• Surveillance and distrust

Economic

• High economic costs
• Business model adaptation

Organizational

• IT security issues
• Reliability and stability needed for critical machine-to-machine communication (M2M), including very short and stable latency times
• Need to take care of the integrity of production processes
• Need to avoid any IT snags, as those would cause expensive production outages
• Need to guard industrial know-how. Lack of adequate skill-sets to expedite the transition towards a fourth technological revolution
• Low top management commitment
• Insufficient qualification of employees

Mansoor Ahmed Chemical Engineer,Web developer