All posts by : admin

According to PwC, computers would drive 70% global GDP growth between now and 2030. This represents a nearly $7 trillion dollar contribution to the United States’ Gross Domestic Product (GDP) from the combined development of artificial intelligence, machine learning, robotics, and embedded devices. This is the beginning of the emergence of a modern machine economy.

For those unfamiliar with the computer economy, it is a system in which intelligent, wired, autonomous, and economically self-sufficient machines or devices perform required manufacturing, distribution, and operations activities with augmented human involvement. The growth of this economy is critical to the rise of Industry 4.0.

Visionary leaders can integrate new technology and capital investments in ways that enable their businesses to develop, expand, diversify, and ultimately improve lives. This change will help in enabling the global adoption of new economic models. But this will not happen overnight or can be designed & implemented by itself. In order to provide impetus we need to:

1. Encourage participation in manufacturing:

While the majority of people agree that manufacturing is critical to our economy, they do not recommend it to their children. Between now and 2028, it is estimated that 4.6 million manufacturing jobs will go unfilled. The workforce is rapidly losing its second-largest age group, and millennials (the largest generation) have historically been uninterested in manufacturing employment. Other than that, they are often attracted to fields such as technology, engineering, and finance. The underlying problem may be one of understanding, as manufacturing in the future would require a much higher level of technology, engineering, and finance to work properly.

2. Nurture diverse abilities:

The manufacturing workforce is undergoing change. The number of solely manual, repetitive tasks is decreasing as technology progresses to automate and robotize these tasks. 50% of manufacturers have now implemented some level of automation, and they now need individuals with analytical thinking, programming, and digital skills. The occupations of the future will include titles including Digital Twin Engineer, Robot Teaming Coordinator, Drone Data Coordinator, Smart Scheduler, Factory Manager, and Safety Supervisor, among others.

3. Invest in both people and technologies:

While unskilled positions can be filled reasonably quickly, it usually takes months to fill a skilled role, and even longer for a person to learn the necessary skills before applying them on the job. Meanwhile, there is increased pressure to maximize the use of time and expertise of the current workforce, which may result in burnout. To prosper in the computer economy, we must make substantial investments in both people and infrastructure. Concentrating exclusively on infrastructure will generate short- and possibly medium-term gains. But it is not sustainable in the long run, and everyone loses.

4. Train and re-train

When individuals are inspired and have access to something to learn, the human capacity for learning is almost unlimited. We must ensure that enough training is available to workers at all levels of the organization. This will ensure that new hires are quickly brought up to speed.

Employers, like employees, must rethink and develop new skills – they must develop new methods for cultivating and retaining talent.

Makoro™’s #DynamicLearning technologies help you recruit and train seasoned staff, and it augments new employees as they enter the field.

Schedule a demo of Makoro™ today to find out how your workforce can leverage its augmentation capabilities.

Industry 3.0 pioneered the idea of automated mass manufacturing, enabling the efficient production of millions of similar goods. As the process’s pace and size grew, labor became an impediment, ushering in an era of outsourcing. Manufacturers rapidly outsourced labor-intensive operations to countries with lower labor costs.

Machines are increasingly driving production processes rather than humans, emphasizing the importance of maintenance and reliability teams.

Maintenance and reliability teams ensured that equipment met efficiency metrics over decades of service during Industry 3.0. Machines were the means of development, and technicians ensured that they worked properly.

The only drawback to this strategy was that it pitted repair and reliability teams against other development departments. For instance, if a computer was required to be shut down for recommended repairs, production would be halted as well. Though machine health could improve, production output decreased in the short term.

Considering the innovation and cutting-edge technology that Industry 4.0 uses, it’s clear that future maintenance and reliability teams will look very different from those in the past.

Manufacturers now face new demands. Usually, Industry 4.0 is synonymous with cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), machine learning, and advanced analytics. But the real reason for their adoption is to drive manufacturing innovation in response to large shifts in market demand in the twenty-first century.

Consumer demand is much more diverse now than it was before, owing to the internet. A viral moment can literally cause demand to spike (or plummet). People demand more customization and sustainable production practices. When all of these factors are considered, it becomes clear that manufacturers now lag behind by 20-30 years.

Demand, sustainability, and cost pressures are all compelling manufacturers to adapt — now, not later. 

Maintenance and Dependability in a Changing World:

The irony of Industry 4.0 is that while technology defines and drives it, each advancement increases the need for human input. The fully integrated factory is only a few years away.

In the near future, maintenance and reliability teams will continue to play a critical role in development. Historically, these teams were primarily responsible for planned maintenance and required repairs. That is no longer the case in Industry 4.0, where teams must optimize efficiency while remaining attentive to conflicting demands and shifting forces. Operations and maintenance teams alike will need to consider asset health holistically — both in terms of what they require to accomplish their strategic goals and how best to accomplish them.

Makoro™’s dynamic learning system takes operations management a notch up, where sets of validated recommendations with very high relevance and confidence score can be replicated across multiple locations to derive the maximum value. So instead of sharing data as reports and dashboards, manufacturers and operators share recommendations/prescriptions across locations.

Aligning Reliability and Maintenance with Industry 4.0:

Currently, maintenance and reliability teams are unprepared for the critical role they will play in development. They lack the technologies necessary to track machine health in real-time across several locations. Additionally, the use of siloed systems keeps maintenance and operations disconnected.

For all of these factors, maintenance and reliability teams would need to fully rethink their approach to manufacturing. To start with, recognize the critical role of maintenance and reliability teams in all aspects of factory operations. Second, begin equipping certain teams for the future roles they will fill. Whether by increased preparation, technology, or talent, or a combination of the three, maintenance and reliability teams will need additional resources to handle the additional responsibilities.

Makoro™’s Recommendations Dashboard tracks asset performance metrics and correlates them to recommendations in real-time. Leaders who have embraced Makoro™ have achieved more than 11% improvement in the agility of their operations.

To assist the rapidly increasing e-mobility sector, as well as the energy transition, climate change, and sustainability, all of these initiatives require novel solutions. Additionally, alternative propulsion concepts must be developed to considerably cut CO2 emissions. 

That is why advancements in battery manufacture are becoming increasingly important. 

However, which batteries and production techniques are capable of meeting escalating demand and stringent specifications? How can manufacturers maximize the sustainability, efficiency, and quality of their plants while automating their processes? New comprehensive automation concepts, such as those based on artificial intelligence and robotics, are critical. Additionally, these notions should consider market requirements, as well as the demands of policymakers and the battery industry. Thus, what are the current trends and future approaches in battery manufacturing that will enable European companies to seize the lead in energy storage for electric vehicles?

Battery makers must excel in terms of quality, increased efficiency, and resource optimization in order to compete better. As the field of e-mobility advances, more advanced battery technologies are being developed. It ensures the vehicles’ durability, safety, and operation. Lithium-ion pouch batteries suit a number of critical current industrial and automobile manufacturing needs. However, pouch cell manufacturing is more complex and time-consuming than cylindrical battery manufacturing. This, in turn, puts unique demands on manufacturing processes. Manufacturers are looking to artificial intelligence to assist with their manufacturing processes. For instance, AI can assist in optimizing machine efficiency and ensuring defect-free output.

Combining artificial intelligence, sensing, control, and robotics delivers higher quality.

While battery producers must react to the market’s ongoing evolution, they demand production processes that can be altered more quickly and flexibly than ever before to suit changing requirements. Combining artificial intelligence, sensing, control, safety, and robotics into a single automation platform enables manufacturers to meet customer criteria for product quality and predictive maintenance while also reaching critical sustainability goals. 

Additionally, assistance with integrated battery cell inspection solutions, as well as solutions for electrode and battery module manufacture, can assist in streamlining the testing and providing end-to-end traceability throughout the battery cell’s life.

The technology ensures sustainability.

Battery manufacturers and suppliers require a dependable partner that can give theAsset Performance Managementm powerful technology and relevant advice from a single source in order to be inventive, adaptable, and future-oriented. A holistic, artificial intelligence-based solution can assist industries in reducing waste. When used in conjunction with an intelligent warehouse system and mobile robotics, firms can significantly increase process efficiency and productivity. 

Simultaneously, battery cell quality – including capacity and battery life – should be covered sustainably by a manufacturing and lifecycle control solution that is backed up by an in-line inspection system. This solution must take into account all stages, from manufacture to usage and recycling. By applying these technologies, businesses take a critical step toward the future of sustainable industrial and battery production.

Recommendations based on data maximize utilization of production resources.

 Today’s batteries as well as their production generate massive amounts of data. Makoro™ provides a range of device and enterprise system connectivity protocol options, and a recommendation system powered by digital performance twin, enabling manufacturers to translate the data generated by the manufacturing processes into a wealth of real-time recommendations. Leveraging these recommendations in battery production helps manufacturers improve their productS and production systems efficiently. They are able to create new business opportunities based on recommendations based on aggregated, correlated, and analyzed operational data.

As a result, battery manufacturers achieve::

1. Improved productivity of existing plants
2. Reduced inventory and throughput time
3. Maximum utilization of production resources

Research indicates that proactive asset recommendations result in an 11% – 13% reduction in raw material usage and a potential savings of up to 15% – 18% in energy utilization.

Digital twin refers to the exact virtual prototype of an object, process, or system covering its entire life cycle. This prototype is based on real-time data and uses simulation, machine learning, and reasoning to help decision-making.  

Digital twins form a bridge between the physical and digital worlds. 

The concept of the digital twin was first used by NASA. With the development of the Internet of Things (IoT), the usage of digital twins is expanding. With the onset of Industry 4.0, the digital twin is becoming inevitable to be used by businesses of all scales to optimize and increase profits of their operations. By allowing the creation of digital copies of real-time objects digital twins have opened new avenues of production, maintenance, design, research, and innovation.

Digital twin allows designing, and real-life simulation of an entity even before it is created. This enables the production of only those products that match the standards defined. For instance, with digital twins, 10 different car models can be digitally created, and with real-life simulation can be digitally checked for possible shortcomings, and based on this a near-perfect product can be created. 

Similarly, with digital twins, it is easier to test products in different scenarios without physically requiring the test scenarios. It helps in the optimization and customization of products. In the automobile industry, a digital twin of a car can be tested to handle different collision scenarios, and accordingly, the safety procedure of the car can be updated.

Digital twins in combination with the Internet of things allows for real-time monitoring of objects. With the usage of sensors, the digital twin is continuously monitored remotely. This enables early diagnosis of any future breakdown of the object or system.

Digital twin equipped with real-time data is a tool without rivals in making predictions about possible breakdowns, future wear, and tear. This enables businesses to undertake more efficient preventive maintenance. This reduces the downtime of any unit. With a digital twin, it is also possible to identify the part most likely to malfunction and possible routes to fix the problem.

Teleoperations is one of the key advantage areas of the digital twin. Through teleoperation, it is possible to control the physical object,  system, or process remotely. It allows controlling physical objects virtually, virtual objects physically and virtual objects virtually. The combination of these possibilities helps in creating a teleoperation ecosystem.  It is of indispensable value in controlling operations in hazardous industries and the environment. 

As businesses adopt digital operations and industry 4.0, the firms employing this technology are already gaining an edge in the market. Digital twins are enabling them to better predict, design, maintain and operate their products. The availability of increasingly accurate models and predictions gives them an edge over those that have not adopted the norms yet. 

INDUSTRIES EMPLOYING DIGITAL TWIN

POWER GENERATION- Power generation industries employ humongous machinery and operation designs. Digital twin not only helps in better design and modification but also in time maintenance. This sector cannot face shut down as it provides power to all other sectors. Digital twins help in checking any possible fault well in time. 

LARGE PHYSICAL STRUCTURES AND THEIR SYSTEMS-  Digital twins are imperative in designing large physical structures such as bridges and offshore drilling operations. At the same time, the digital twin is used in the maintenance and remote operations of systems within these structures. For instance,  in the case of oil drilling, it helps to predict the depth and exact location of drilling operations most viable for the equipment.

MANUFACTURING OPERATIONS- The manufacturing operations are increasingly using digital twin at all levels. Ffom product design, customization, process, maintenance to delivery of the product.

HEALTHCARE SERVICES- Just like with physical objects, a digital twin of a human can be created. In the healthcare system, the digital twin is used to make a prognosis of the patient, try the possible treatments, check their consequences. It is being used to develop better medical facilities. 

AUTOMOBILE INDUSTRY– The automobile industry operates in complex interwoven systems. The digital twin helps in the design, simulation, and prediction of the automobile as well as that of the environment surrounding it.

These industries are the most prominent employers of digital twins but by no means the only users of digital twins. 

DIGITAL TWINS AND BUSINESS FUTURE

As per the The “Digital Twins Market by Technology, Solution, Application, and Industry Vertical 2020-2025”report

• Up to 89% of all IoT Platforms will contain some form of Digital Twinning capability by 2025 
• Digital twinning will become standard feature/functionality for IoT Application Enablement by 2027

How can Makoro™ assist?

Makoro™ employs a cloud-agnostic approach that fully leverages the customer’s infrastructure and installs on the edge, in public/private/hybrid cloud, and in the customer’s data centers to expedite deployment. Makoro™ is also available as a fully managed application suite on Makoro™ Cloud.

Makoro™ Predictive Asset Performance Management solution collects and correlates data from the manufacturer’s internal applications, inventory management systems, and maintenance management systems in real-time and generates recommendations for optimizing asset and workforce utilization while reducing overall maintenance costs. The digital performance twin in Makoro™ Mind constructs an asset health and performance model from data from linked devices and maintains it through periodic re-training. As a consequence of real-time IoT data from the asset, engineers have a full picture of how the asset is operating. Makoro™’s Performance Twin enables the identification of possible asset issues, remote troubleshooting, and integration with Makoro™’s Recommendation System to offer contextual suggestions for proactive asset performance improvement.

And, because Makoro™ enables secure access to your plant’s predictions, insights, and recommendations from any device, it plays a critical role in your remote operations strategy, enabling your operations executives to make more informed, timely, and consistent decisions about their plant’s operations remotely.

Request a demonstration to discover what Makoro™ can do for your business.

Makoro™ monitors assets and proactively provides maintenance recommendations. Such prediction reduces unplanned downtime and time taken to repair. This in turn reduces lost revenue and improves productivity.

Automata raises $7.4M on the power of Eva – a $6,600 Industrial Robot that can perform simple tasks relieving human minds to focus on the more complex ones.

The epidemic altered our daily life and the world we live in irreversibly. Each of us now has a unique perspective on our surroundings, as our susceptibility to natural disasters becomes more palpable.

While population expansion, urbanization, and globalization aided in the virus’ spread, they also boosted CO2 emissions and had other detrimental environmental consequences. Despite the need to concentrate on immediate issues, we must forget about those that will face us in the future. Climate change is the single greatest problem of the modern era, with about two-thirds of the world’s population now perceiving it as a worldwide emergency. We just cannot ignore it any longer.

]Indeed, we are the generation most equipped to resolve it. In fact, we may be the last generation capable of altering the course of history and taking the necessary actions to address climate change. It is our responsibility to utilize our knowledge and the resources at our disposal to help us win the battle for climatic stability. These tools comprise emerging technologies that have the potential to increase resilience. 

Digital Technology and Green Electricity are the two keys to resolving this conundrum.

Digital technology is the most visible breakthrough in reshaping humankind. Consider how digital technology has transformed the way we work and live together. The Internet’s first episode was all about connecting people. The next episode will focus on reimagining how we live and interact with our surroundings. It’s going to be about machine-to-machine communication and human-to-machine communication. This is made feasible by the combination of the Internet of Things (IoT), which connects everything in our environment, and Big Data, which is the process of gathering, aggregating, and analyzing enormous volumes of data in data centers to provide actionable intelligence. And the capability for training machines and developing algorithms to make sense of all this data is essentially limitless now. The adoption of smart manufacturing technologies is already paving the way for a more desired future, in more effectively sharing and conserving the resources we use.

The second technology, which is arguably less apparent than the first since it has existed for a long period of time, is green power. Consider solar energy, microgrids, net-zero-energy structures, and electric automobiles. Because electricity is the only method to decarbonize energy, prepare for a far more electrified future. However, the electricity will not be the same in the future. Renewable energy will be used. Green is the way of the future.

The equation has four straightforward variables:

1. Digital. Thanks to digitization, we can be considerably more efficient in every area. By using digital technology, whether in smart buildings, smart manufacturing, or smart cities around the world, we may achieve significant increases in efficiency over current levels.
2. Circular. This is about ensuring that everything we do contributes to the development of a more circular economy than the one we now have.
3. Electric. The percentage of electricity in everything will double in the next few years. We talk a lot about electricity, although it accounts for just around 20% of the energy we utilise today. It will double to 40% in 20 years.b 
4. Renewable. Today, just 6% of power is renewable. By 2040, it is expectedl be 40% renewable.

And it is not a case of waiting for one of these factors to change before shifting emphasis to another. We must work on all of them concurrently. We cannot afford to wait, since what we construct now will remain for years to come. If we want to combat climate change, we must immediately start taking actions.

Sustainability fosters adaptability.

Pandemics like the recent one and climate change are the two greatest risks to our society’s future. It is critical that we take action and build a sustainable world that prioritises resilience. Maintaining the present momentum is critical for attaining the really sustainable and resilient future that the whole planet so desperately needs.

COVID-19 may have shifted our emphasis, but it has emphasised the need for adaptability and agility. With the economy put under strain, it has acted as a wake-up call for increased awareness of long-term sustainability. Businesses must recognise that they can do better and must emphasise sustainability across their operations.

A more sustainable organization starts with your assets.  

Considering that each asset has a finite life cycle and will eventually need to be replaced, a sustainable approach is to extend its life. Makoro™ helps extend the asset life through increased operational efficiencies. Sensors monitor assets, and Makoro™ continuously combines real-time asset health data with data from operations and enterprise systems to make accurate and relevant recommendations that optimise their operations more effectively. For example, as you reduce the number of routine maintenance trips, you save the engineer’s time and energy costs; at the same time you save on parts consumption through accurate and timely parts optimization; and improve overall process efficiency, thereby producing higher quality products with less rejection. 

Multiply those efficiencies across your enterprise and the sustainability gains become extremely significant. 

Research shows that proactive asset recommendations result in a 11%-13% reduction in raw material consumption and potentially saves up to 15%-18% on energy expenses.

Manufacturers are looking to digitize their activities to meet the demands of the pandemic. The aim is to create a single operating mechanism that spans all available resources on a global scale.

This necessitates consistent structures and standardization, which must be facilitated by emerging technology, agile processes, and data access. It is essential to provide global insights into plant performance combined with business background from enterprise systems.

The greater the amount and the variety of data that learning systems can ingest, the more accurate they become. Digital processes and the capacity to process vast amounts of data are essential components of digital transformation.

A key element of adoption for digital transformation initiatives is value demonstration.

A large percentage of pilots rot in the “Pilot Purgatory” because they do not demonstrate a clear business value.  Makoro™’s dashboard provides a continuous value demonstration of recommendations on specific business outcomes related to assets, maintenance, and workforce. These are quantified values that also act as incentives to continuous asset and process improvement.

Another impediment is workforce adoption.

Deployment of new tools often is too technology-focused. It does not put business capabilities in the hands of the existing operations workforce, the real catalysts who leverage their domain and process knowledge to derive value from these tools. Makoro™ is created for the operations workforce – for operators, maintenance engineers, floor managers, and operations executives. Makoro™ gives recommendations that are seamlessly integrated into their regular task workflows, making them easy to adopt.

We internally say that “Makoro™ solves the issues on the production line that keeps operators up at 8 o’clock on a Friday evening.” Do you really want to call the data scientists at that time to interpret data and drive decision-making? That’s where the natural language recommendations really make their mark.

A third barrier is the high cost of a scalable solution.

It is one thing to experiment with analytics – ingest data from a few machines, run experimental algorithms, and derive value (which is also a necessary step in the lifecycle) but building a scalable solution that works for thousands of assets and hundreds of devices per asset, and supports hundreds of workers across multiple locations needs well-thought-out vision, risk mitigation strategies, and investment plans. Makoro™’s Automated Operations and Continuous Intelligence scales up and down in a frictionless manner across devices, edges, and hybrid clouds to deliver the scalability that businesses need.

We should aim higher, but implementations must start smaller in scale, with an eye on delivering maximum impact. The rollout should be line-by-line and site-by-site, which mitigates risk and delivers value at each stage.

Want to know how Makoro™ can drive adoption, scale, and value in your business? Sign up for a demo.

Smart factory development is a top priority for manufacturers across all industries and sectors. It is a component of a business’s digital transformation, and it is critical to maintaining competitiveness while also meeting the demands of consumers and end-users, as well as B2B customers and regulators.

This is all part of Industry 4.0, the umbrella term for the revolution currently sweeping the manufacturing sector.

As with previous industrial revolutions, Industry 4.0 will evolve over many years and decades as new technologies and processes are developed, and as businesses, regulators, and consumers grow.

>What are the critical smart factory developments worth examining today if you work in the pharmaceutical or medical technology industries?

Why is Industry 4.0 even more critical to the pharmaceutical manufacturing industry?

1. Increased Productivity — Automating processes enables them to be completed more quickly and accurately. Reduce downtime through automation and the use of sensors and predictive systems that enable equipment to function autonomously.
2. Improving the supply chain’s efficiency through integration –  They are making it feasible to transition from batch to continuous manufacturing, a production approach that results in much less downtime and increased efficiency.
3. Increased Quality – Increased automation and continual monitoring of your manufacturing plant will result in fewer mistakes and higher-quality final products.
4. Risk Reduction – This follows naturally from the preceding two arguments – increased manufacturing precision reduces the danger of substandard items reaching end customers.
5. Facilitates Regulatory Compliance –  Compliance with existing and upcoming laws in the E.U. and other parts of the globe is made more accessible via the use of Industry 4.0 technology. To comply with the Falsified Medicines Directive, new track and trace systems and serialization solutions are presently being deployed.
6. Improved Business Oversight  – Industry 4.0 technologies enable real-time reporting, increased data collection, improved data analysis, and improved data presentation in usable formats.
7. Development Of New Business Prospects –  Industry 4.0 will also open up new commercial prospects for pharmaceutical businesses. For instance, Industry 4.0 technologies enable seamless and highly efficient end-to-end supply chain integration. This increases productivity, which helps your business immediately. A more connected and efficient supply chain, on the other hand, is also more scalable, opening up new potential for your organization. Covid-19, a quick-win situation.
8. Increased Profitability – When all of the aforementioned are combined, the outcome is improved corporate profitability. Additionally, your firm will be more competitive and better able to address future difficulties and opportunities. Covid-19 has accelerated the advancement of biotechnology problems.

The pharmaceutical industry has only recently begun to adopt Industry 4.0 technologies, despite the fact that it has been using batch manufacturing for more than 50 years. However, the traditional batch process technique has been demonstrated to be lengthy: after each stage in the process, production is generally halted to allow for quality assurance testing of the material. Each break lengthens the lead time and increases the likelihood of defects and errors (FDA, 2016).

This encouragement comes at a critical time – we are entering an era of precision (personalized) medicine, “where medicines must be produced with unique characteristics and made available to people in need more rapidly.” (U.S. Food and Drug Administration, 2016).

To create customized medications, pharmaceutical companies no longer need to produce large batches but rather tiny ones tailored to a limited group of individuals who require a certain treatment in a specific dosage. Batch production is not the answer to these demands, but continuous manufacturing that is connected, smart, adaptable, and accurate.

Continuous manufacturing is used in the pharmaceutical business to move substances nonstop inside the same facility, eliminating wait times between process steps; the materials are fed via an assembly line of integrated components. Manufacturing that is continuous “saves time, decreases the risk of human mistakes, and enables a more agile response to market changes. It can operate for an extended length of time, potentially reducing the probability of medication shortages.” (U.S. Food and Drug Administration, 2017).

Pharma Opportunities 4.0

• Gains in economic terms, such as greater revenues as a result of reduced transaction costs
• Increased reliability and consistency in production and output, as well as higher-quality products
• Energy-efficient and ecologically friendly manufacturing systems
• Utilization of human and material resources effectively.
• Changes in work structure, with a greater emphasis on remote, flexible, and on-demand labor

Pharma 4.0’s Obstacles

• Gaps in infrastructure
• Policies and regulations that are out of date and do not take into account 4.0 Industry
• Ownership and security of data
• Transparency, confidentiality, and ethics
• Changes in the fundamental characteristics of innovation processes and their implications for competition and entry barriers

Take away points

We may now re-evaluate our industry’s accomplishments while simultaneously re-strategizing our future strategy toward offering high-quality therapy at scale and bringing fresh hope to humanity.

By strategically integrating the production process, we as an industry will be able to stay ahead of the problems and expectations on which the rest of the world is so reliant.

Predictive analytics enables you to foresee issues, minimize risks, capitalize on opportunities, and ensure that resources are directed appropriately.

Predictive analytics is already being used by pharmaceutical and medical device makers in the field of equipment maintenance. It is possible to forecast the effect of a variable on a piece of equipment, a production line, or a process using technology such as digital twins.

About Makoro™:

Makoro™ leverages #AppliedArtificialIntelligence and #NaturalLanguageRecommendations powered by #DigitalTwin in solving transformative problems in the manufacturing supply chain. 

If you are still leading with reports and dashboards, you are falling behind. You are leaving money at the table. When you can shave off minutes and hours you spend making the right decisions on your assets.  

Asset performance recommendations from Makoro™ deliver improved asset and process performance consistently through recommendations. These recommendations are backed by data and can be traced to the sources of data. 

Makoro™ recommendations deliver direct operations savings and indirect compliance savings.

In recent years, the world has witnessed an unprecedented shift towards renewable energy sources, marking the beginning of a global energy revolution. Driven by growing concerns over climate change, depleting fossil fuel reserves, and the need for energy independence, countries across the globe have embraced renewable energy as a viable and sustainable solution. This article explores the renewable energy revolution, highlighting its significance, key advancements, and the potential it holds for a greener and more prosperous future.

The Need for Change

The traditional energy sector, predominantly reliant on fossil fuels, has long been associated with numerous environmental and socio-economic challenges. Climate change, resulting from the excessive emission of greenhouse gases, poses an existential threat to our planet. Furthermore, fossil fuel dependency exposes countries to price volatility, geopolitical tensions, and limited energy access. To combat these issues, a transition towards renewable energy sources has become imperative.

The Rise of Renewable Energy

Renewable energy, derived from naturally replenished sources such as sunlight, wind, water, and geothermal heat, has gained significant traction in recent years. Advancements in technology, coupled with supportive policies and declining costs, have accelerated the adoption of renewable energy on a global scale.

• Solar Power: Solar photovoltaic (PV) panels have become increasingly affordable and efficient, enabling widespread solar power installations. With abundant sunlight, regions such as California, China, and India have experienced remarkable growth in solar energy production.
• Wind Power: Wind turbines, capable of harnessing the kinetic energy of wind, have emerged as another major renewable energy source. Countries like Denmark, Germany, and the United States have made substantial investments in wind power infrastructure, contributing to a significant portion of their energy needs.
• Hydropower: Hydropower, generated by the force of flowing or falling water, has been utilized for centuries. Large-scale hydroelectric projects, such as the Three Gorges Dam in China, have demonstrated the immense potential of hydropower to meet substantial electricity demands.
• Nuclear Power- Nuclear power is a form of energy generation that harnesses the heat produced by nuclear reactions to generate electricity. It offers a reliable and efficient source of power, with a high energy output and minimal greenhouse gas emissions, making it a popular choice for many countries around the world.
• Other Renewable Sources: Biomass, geothermal energy, and ocean energy (tidal and wave power) are also being explored as viable alternatives to fossil fuels. These sources, though relatively nascent, show promise in diversifying the renewable energy mix.

Benefits of the Renewable Energy Revolution

The renewable energy revolution offers a multitude of benefits:

• Environmental Impact: Renewable energy sources produce minimal greenhouse gas emissions, thus mitigating climate change and reducing air pollution. This transition is critical for preserving ecosystems, combating deforestation, and protecting human health.

• Energy Independence: Relying on renewable energy reduces dependency on fossil fuel imports, enhancing energy security and reducing geopolitical tensions associated with resource scarcity.

• Economic Opportunities: The renewable energy sector has emerged as a significant driver of economic growth, fostering job creation, technological innovation, and attracting investments. It offers opportunities for small-scale distributed energy systems and promotes community-level resilience.

• Decentralization and Resilience: Renewable energy enables the decentralization of power generation, reducing vulnerability to grid failures and enhancing resilience during natural disasters.

Schedule a call to talk more about your needs and how we can help. 15 minutes is all it takes.

 Stay tuned for the upcoming in-depth article on the solar wafer manufacturing.