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June 17, 2021

Industry 4.0 for the Indian Manufacturing Supply Chain

Industry 4.0 for the Indian Manufacturing Supply Chain

The global manufacturing industry is amidst a massive transformation that encompasses the entire supply chain. The previous industrial revolution was a giant step in modernizing the industry, but the impact of Industry 4.0 is seen to be much larger. It is the process whereby the automated industry of Industry 3.0 is geared towards digitization and creating smart industries. It entails the usage of connected assets, IIoT, Digital Twins, Data, Artificial Intelligence, and Advanced Analytics to improve the efficiency, transparency, and consistency of the overall supply chain.

How is Industry 4.0 relevant for India?

  1. Bridge the Gap between Supply and Demand: The population of India is on an upward growth curve and so is the consumption rate, which tends to rise further each day, thereby putting tremendous demand pressure on the manufacturing industries. At the same time, this increases the gap between demand and production capacity. To bridge this increasing gap and increase productivity, manufacturing in India must adopt newer technologies. Productivity gaps identified by analysis of comprehensive and real-time data from production processes are the first step towards understanding the current state of the systems. This can be further improved through the adoption of predictive and prescriptive technologies.
  2. Eliminate Waste: Industry 4.0 uses real-time data and artificial intelligence to improve production operations. The real-time data provides updated information about the functioning of the machinery. It helps in optimizing the timing for the purchase and storage of raw materials, thereby eliminating wastage. It also helps in identifying malfunctioning machinery and gives timely information for their maintenance, preventing high wear and tear, and ensuring the best utilization of raw materials. Industry 4.0 is a multi-pronged approach for waste elimination and sustainable production.
  3. Improve Quality: Before the fourth industrial revolution, the quality check was aimed at maintaining the flaws in the products limited below a certain threshold. The process itself was heavily reliant on the quality check personnel. The data available, even though abundant, was not put to use and stored away for later analysis, which was never performed. But with Industry 4.0, the real-time data provides the exact checkpoints for products, improving quality continuously.
  4. Enhance Customer Satisfaction: India is a diverse nation. As a result, products have significant variations due to consumer preferences. Multiple factors such as culture, age, language give rise to ever-changing and evolving consumer preferences in the same time-space. This poses a challenge to manufacturers to produce personalized products. Demand for personalized products is growing – and appears to stick on. We all seem to want products personalized and right-sized to fit our preferences, personalities, and lifestyles. This is a trend that OEMs can’t afford to ignore. Manufacturers must implement strategies to meet this new demand for customization. Industry 4.0 technologies lead in the direction of agile, small-batch, personalized manufacturing, to deliver products customized to specific consumer personalization requirements, thereby enhancing customer satisfaction.
  5. Increase collaboration among manufacturers, startups, and research institutions:  Industry 4.0 relies heavily on the knowledge workforce. Its success is driven by active collaboration among manufacturers, researchers, and startups. India, with its technology boom and the startup ecosystem, already has a skilled workforce to cater to the needs of innovation in the manufacturing supply chain. At the same time, there is also plenty of active research in technologies like Computer Vision, Artificial Intelligence, Process Optimization, and such. Bringing together startup innovation and advanced research can deliver immense value to the adoption of Industry 4.0 in the manufacturing supply chain in the country. This collaboration will also diversify the economic base of the nation.
  6. How can Makoro™ help?

MakoroTM drives process optimization in the manufacturing supply chain by delivering continuous intelligence through Makoro™ Mind, the data-driven core which leverages IoT, Digital Twin, AI, and advanced analytics to recommend solutions that make assets perform better. 

Moreover, Makoro™ leverages customer’s existing infrastructure (without any bias for Edge, Cloud, or On-Premise). It deploys seamlessly across customer’s existing private/public/hybrid cloud, on-premise, and edge systems.

The Recommendations Dashboard demonstrates the continuous value of Makoro™ to customer’s processes, correlating asset, maintenance, and workforce metrics in real-time with sentiment, acceptance, confidence, and relevance of recommendations.

Take our 10 day outcome challenge and see the results.

May 14, 2021

These technologies are driving Industry 4.0 adoption

These technologies are driving Industry 4.0 adoption

Manufacturers will never build in the same way again as a result of Industry 4.0 – the Fourth Industrial Revolution. Manufacturers across all industries are digitizing their businesses to discover new, more cost-effective ways to source materials, run production lines, serve customers, and analyse their results for continuous improvement.

As with any significant change, Industry 4.0 may appear challenging to manufacturing professionals unfamiliar with its implications. Indeed, numerous technologies may play a role in the current revolution. The challenge is to determine which of these technologies have the greatest potential to transform the way you conduct business. 

Artificial intelligence, additive manufacturing, and blockchain are three technologies that are shaping up Industry 4.0.

As with the majority of Industry 4.0 technologies, artificial intelligence, additive manufacturing, and blockchain all have one thing in common: they are cloud-based. This means you’ll have easy access to the data storage space and computing power required to analyse the massive amounts of data generated and consumed by these technologies.

Artificial intelligence (AI) assists you in resolving issues by learning from patterns in your data that you might not have noticed on your own. How is this accomplished? By combining automation and machine learning for the purpose of analysing massive amounts of data. This enables you to identify undesirable trends in machine downtime, pinpoint periods of high scrap rates, and use these insights to make more informed profit-maximizing business decisions.

Additive Manufacturing has grown in popularity even outside the manufacturing sector, with the majority of people referring to it by another name: 3D printing.  Manufacturers are only beginning to explore the full range of additive manufacturing applications. Several researchers have combined machine learning and generative design to generate alternative part designs. 

Blockchain technology improves transparency from raw material procurement to final product delivery and confidence at any level of the industrial value chain. Combining blockchain technology and the Internet of Things aid in resolving issues such as provenance, counterfeit identification, and asset tracking in supply chain management. It also enables new approaches to maintenance (such as digital service agreements) and faster turnaround times.  

At Makoro™, we use AI & advanced data analytics to make asset performance management recommendations in the natural language of the user so they can easily understand and act upon the recommendations. This enables faster, better and compliant decision making.


May 6, 2021

Predictive analytics: Transforming data into Recommendations

Predictive analytics: Transforming data into Recommendations

Predictive analytics technologies are being used to revolutionize manufacturing operations across all sectors. Not only manufacturers but these technologies are also being used by Asset Owners to derive values based on their data instead of relying on specific OEM’s to deliver “proprietary” value. Throughout the pandemic, these technologies have also been assisting Asset Operators in managing the lifecycle of critical assets distributed across several geographic locations.

Historically, assets of various types – from those on factory floors to those in the field – have exclusively relied on calendar-based management. This meant that decisions were taken, work orders were scheduled, and pieces were ordered simply because a calendar said it was time, rather than because they were actively managed to provide value.

Reactive asset management is costing businesses millions of dollars. The magnitude of the actual impact is even unknown to most asset owners and operators.

The other issue is the siloed focus on maximizing the throughput of an asset, rather than a focus on building end-to-end intelligent operations that cut across different OEMs.

Predictive and prescriptive analytics technologies leverage artificial intelligence (AI) and advanced analytics to develop intelligent operations. These technologies allow manufacturers, owners and operators to predict the operational impact to an asset, the line, the floor or to a location. Here is how Makoro™ leverages predictive and prescriptive technologies in building intelligent operations.

Makoro™ Edges connect with assets and devices on the front end and communicate with Makoro™ Hub on the back end. It transmits machine and process data such as flow rate, oil and water temperatures, vibration measurements, and machine operating hours.

After that, this data is combined with data from different operations and business sources. This is accomplished through Makoro™ Bind, the connector’s interface. After that, it is analysed using a combination of market rules and Makoro™ Mind’s predictive, Al-powered algorithms. While Makoro™ predicts a possible issue, it also does a root cause analysis of the issue. Further, it proactively generates maintenance requests, schedules and assigns the requests, and makes duration, fix and parts recommendations. As data flows through the Hub, Makoro™’s continuous intelligence delivers “unexpected” predictions, insights and recommendations.

Makoro™ learns and evolves as customers engage with the recommendations. And gradually establishing a “golden” operations workflow in which asset management actions are data-driven, traceable, and have been validated by the customer’s workforce.

Through deep-domain artificial intelligence, Makoro™ delivers a rapid time-to-value for customers. It results in higher asset uptime, lower cost of operations, lower maintenance costs and higher workforce adoption.

The ability to anticipate is the competitive advantage in the fast-paced #Industry40 adoption and Makoro™’s #PredictiveRecommendations give you that edge.

MakoroTM’s dynamic learning framework brings operations management to the next level, allowing sets of validated guidelines with extremely high validity and trust scores to be repeated across several locations to maximise value. So instead of sharing data as reports and dashboards, they share recommendations/prescriptions.

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

To get started with Makoro™, sign up for our 10-Day Outcome Challenge.

April 24, 2021

Data is not Enough – An Introduction to Makoro™

Data is not enough - it's time to switch to Makoro™

Introduction to Makoro™ AI – how Makoro™ derives its name from the Bantu language and the foundational principles of Makoro™. The proliferation of connected assets makes it impossible to manage assets by viewing data, reports, and dashboards. Makoro™ manages assets through natural language recommendations, which operators, process engineers, and maintenance engineers can act upon without having to depend on data scientists.

Makoro™ illustrates the power of #AppliedArtificialIntelligence in solving transformative problems in the manufacturing supply chain.

#MakoroAI #CodeDataIO #PredictiveRecommendations #NaturalLanguageRecommendations #PredictiveAssetManagement #ContinuousIntelligence

April 19, 2021

Makoro™ AI Predictive Asset Management

Makoro™ uses applied artificial intelligence to solve transformational problems in manufacturing supply chain

Makoro™ uses applied artificial intelligence to solve transformational problems in the manufacturing supply chain.

Makoro™ AI differentiates itself in Enterprise Asset Management and Asset Performance Management spaces through its AI-powered predictive asset performance management for asset manufacturers, owners, and operators. Makoro™ AI lets you connect to all operations and IT data sources and transforms data to recommendations in minutes – recommendations that power higher asset uptime, lower maintenance costs, and higher workforce engagement.

Makoro™ illustrates the power of #ArtificialIntelligence applied to solve the deep-domain problems of the manufacturing supply chain.

#MakoroAI #CodeDataIO #PredictiveRecommendations #NaturalLanguageRecommendations #PredictiveAssetManagement #ContinuousIntelligence