How technology is transforming manufacturing?

Global manufacturing with a new age revolution

Manufacturing is in the midst of a period of extraordinary change, as it is transitioning from the industrial age to the information age. However, the manufacturers will prove best able to capture value in the middle of this transition and can best manage complexity and embrace flexibility. A new layer of manufacturing software has emerged with age.

The world’s biggest machine

The modern manufacturing operation is a complex and adaptive system. However, this system cannot be fully understood by examining its individual components. Here thousands of individual workers interact with global supply chains and automated equipment to produce different products.

These operations are full of intelligent decision-makers. However, it varies from the associates tasked with performing the work, to the engineers of Best B Tech College in Jaipur who must ensure its continuous operation. Each of these decision-makers constantly absorbs new information from their surroundings and adapts their behavior to best accomplish their objectives. In this sort of complex system, shifting conditions in the operation create a non-linear impact on the production.

How many variables can we solve for?

Every manufacturing operation can be processed to a sequence of actions that each adds incremental value to a product. However, roles like industrial, process and quality engineers of B Tech Colleges exist to try to find the optimum state that balances creativity with market demand while incurring as few operational expenses as possible.

Historically, manufacturing sees as a relatively static system. Manufacturing engineers would attempt to determine the various inputs to the system and achieve the most efficient process.

Technology increases capabilities, which increase the complexity

The introduction of new technology increased the options available to the manufacturer. However, with each new technology introduced into the static system, an individual saw an exponential increase in the total number of possible combinations. After all, it has to consider the achievement of the optimal design.

In some situations, it becomes impossible to conceptualize the system of operations and the associated interdependencies. The combined mechanical system was the manufacturing value chain. It fragments into various sub-systems and put down to different sets of stakeholders. Each of them combined with optimizing their small piece while possessing only a limited view over its impact on the system as a whole.

So where is manufacturing tech going?

Modern manufacturing operations are complex. Problems emerge in unexpected ways and minor changes in the system can have non-linear consequences on cost and production. However, these systems cannot be fully understood by studying their individual parts. They are full of intelligent decision-makers able to constantly absorb new information and continuously improve their solution in response to their shifting environment.

In this new era, manufacturers are able to best manage complexity by embracing technologies. However, it encourages decentralized decision making that will have a sustained competitive advantage over the industry.

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What is the impact of technology on education?

The Impact of Technology in Education

Nobody can deny the fact that technology has changed education for the better. In today’s time, learners enjoy easier, efficiently access to information, avail opportunities for extended and mobile learning, give and receive feedback immediately and provide greater motivation to learn and engage.

There are different programs and platforms that can transform learners into globally active citizens. However, it opens up various opportunities for communication and impact. Thousands of educational apps design to enhance the interest and participation of the students of Top Engineering Colleges. Professionals identified the most powerful uses of technology for learning.

Critical thinking

Research identifies that the students do not learn from teachers or from technologies. Rather, students learn from thinking. However, it includes their actions, self believes, opinions of people, thinking process used or the reasoning. In other words, thinking mediates learning. While learning with technologies, students of B Tech Colleges can foster the following thinking:

Analogical

If you extract cognitive psychology into a single principle, it will use analogies to convey and understand new ideas. Understanding a new idea is best accomplished by comparing and contrasting it to an idea that is already understood. In an analogy, the properties or attributes of one idea are transferred to another.

Expressive

Using technologies as tools to learn involves learners to represent what they know. Using different tools requires learners to express what they know in different ways. However, technologies can be used to help learners express themselves in writing.

Experiential

Experiences result in the most meaningful and resistant memories. However, the primary medium for expressing experiences is the story. Stories are the oldest and most natural form of sense-making. Cultures have maintained their existence through different types of stories, including myths, fairy tales, and histories.

Mobile Learning

True mobile learning starts when the first smartphone and tablet (Apple) introduce and open up a new world of possibilities for training and education for the students of Computer Science Engineering.

Adapting to the needs of 21st-century learners, some of the countries aim to supply all of their students with millions of tablets. Tablets are not the only piece of technology driving mobile learning. With tools like MOOCs, e-learning tools, blogs and wikis, and social media, supporting students’ informal learning can be a key to helping them become lifelong learners.

Access to education

Research says that around 58 million children from ages 6 to 11 do not attend school. X-Prize is challenging entrepreneurs to develop open-source software that students of Top Engineering Colleges can use to acquire basic literacy and arithmetic skills on their own.

Deeper Learning

The most powerful uses of technology are where people are producing. For instance, one social studies assignment was given to a student to create a narrative for the Mississippi River. Students started at the headwaters in Bemidji, Minnesota and told stories of the people and places all the way down the river’s banks to the Gulf of Mexico. However, they used publishing tools to create multimedia presentations.

Creation and Contribution

Countless programs and platforms now allow learners to create and share material in a way that was not possible before the rise of technology. For instance, blogs are a great way to develop creative thinking and writing in students. They provide freedom to students to post whatever they want and comment upon or share each other’s material. However, they can openly write on topics that fascinate them and provide ideas without worrying about grading or grammatical errors.

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Why is machine learning being given so much importance?

What is the importance of machine learning

Student retention remains one of the greatest concerns for higher education institutions worldwide. Retention rates are used as an indication of how many undergraduate students like B Tech who start their studies at a college will continue their studies at that college.

There are many factors that play a role in early withdrawal from Top Engineering Colleges in Rajasthan. Most of them are related to financial and personal reasons. Universities and colleges also lose students when they decide to study at other schools, or take online courses at other schools or decide to take their second year off.

How technologies improve performances?

Technology in the form of machine learning is being used by B Tech Colleges to improve their student support and retention rates. The value of machine learning for the improvement of retention rates lies in its predictive power. Machine learning algorithms can easily analyze vast data sets and identify students who are at risk of abandoning their studies.

For instance, it is a well-known fact that students who do poorly academically are less likely to graduate. It is also possible that poor grades in a specific class can be a precursor to a student dropping out of that particular class as well as the entire course. On the other hand, Top Engineering Colleges learned that nursing students who did poorly in Introductory Math did not succeed in completing their course. Only 10% of the students who got a C or lower in their math went on to graduate. Of the students who achieved B+ or better, 80% graduated.

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