Unleash the Power of Factory Intelligence with Shoubii..

Progress is inevitable and eternal, and that is the apposite also for the ever-growing manufacturing industry which started as a purely man-made industry. People had started to specialize in different skills for manufacturing goods byand when the era of machines arrived. Then people progressed to specialize in skills for handling the machines that manufactured goods and depended on ERP tools to manage the manufacturing process and business functions that were involved.

The sector then proceeded to evolve to an age of machine integration that revolutionized human-machine interaction, automation of manufacturing processes and business functions. Technological advancements have made it convenient for manufactures to economically produce goods of higher quality more efficiently. This led to a surge in digital manufacturing solutions and tools competing to produce more efficient solutions.

SAP Manufacturing solutions is one such provider that has enabled companies to integrate and embed intelligence in manufacturing processes with a single-source of real time information as it can provide a fully integrated solution from machine level to ERP all-in-one. However, when it comes to technology one size doesn’t fit all, different manufacturers have different methods, materials, processes, speed and requirements. Who would not like a tailor-made solution where they can bend the way the standard processes are executed?

Shoubii Consulting happens to be the mother-lode of tailor-made solutions. The tools that we use to make this possible – SAP MII, SAP ME, SAP DMC, GE Proficy, Oracle Cloud, Apriso – are boundless. The skillset we possess is a banquet of SAP modules like SAP HANA, SAP IS Retail, SAP Fiori, SAP EWM and Oracle cloud solutions like ERP, IoT, SCM. When consumers are presented with a variety of options, it expands the possibility of having more user-friendly and sustainable solutions that require minimum post deployment support.

We at Shoubii work hand-in-hand with the clients to understand the requirements better. Having worked with multiple industries – like steel, aerospace, pharmaceutical, chemical – Shoubii has gained the experience and proficiency and has earned the reputation of consistently providing solutions on time and of superior quality. This was made possible as Shoubii is a bustling hub of activity, with an abundance of outstanding young individuals working to make a name for themselves and busy creating a long-lasting, successful history. Our presence piques the curiosity of our competitors. We are on a mission to make the process automation of the Manufacturing Industry simple, significant and comprehensive. Shoubii Consulting essentially revolutionizes user experience in the Manufacturing sector.

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Revolution of Next-Gen Autonomous Mobile Robots (ARMs)

Autonomous Mobile Robots (AMRs) are the next generation of industrial robots designed to work in a collaborative environment and can be used for different tasks to improve production and manufacturing flexibility.

Manufacturing flexibility improves a firm’s ability to react quickly to customer demands and increase production system productivity without incurring high costs and excessive resources. The emerging technologies in the Industry 4.0 era, such as cloud operations or industrial Artificial Intelligence, allow for new flexible production systems.

Autonomous Mobile Robots can work without human intervention, making them ideal for repetitive jobs such as welding, painting, assembly, and packaging. They can also be used for material handling and sorting, pick-and-place, machine tending, and more. ARMs can increase the efficiency of manufacturers by eliminating human error in repetitive tasks and by providing increased flexibility in how work is done on the production line. These robots can also be used as a mobile solution for companies that need to relocate their factories or warehouses.

In recent years, there has been an increasing demand for autonomous robots, and manufacturers are looking for ways to increase their production without hiring more employees. These next generation of robots will be able to move autonomously without being tethered to a power supply or a fixed location, allowing them to work in more places and for more extended periods.

Applications of Autonomous Mobile Robots

The following are some of the applications of autonomous mobile robots in the industrial industry:

As inventory and components fetch-and-carry workhorses: Workers do not have to waste time going long distances just to transfer parts required for production. Without jeopardizing worker safety, AMRs can execute the task just as well and swiftly.

A suitable alternative for conveyors: Parts must be transferred from one area of the manufacturing floor to another. AMRs can function as mini conveyor belts, allowing for easy transportation without the need for additional supply chain infrastructure.

Acts as a collaborative robot: AMR ensembles may be assigned to repetitive operations like welding and spray painting, which is very useful in hazardous environments. A robotic manufacturing arm mounted on an AMR may be moved around the production line to conduct collaborative jobs.

Inspection of difficult-to-reach parts: Manufacturers can attach inspection kits to AMRs as payloads to record and document equipment in dangerous or difficult-to-reach locations.

The most significant advantage of AMR is that it offers several navigation solutions. An AMR uses a pre-programmed map to navigate and plans its own paths to the destination. It can identify and avoid obstacles as well as maneuver around them. As a result, the AMR robot is more adaptable since it can adjust its direction dynamically and with less effort.

In spite of the perception that the AMR robot is more expensive, in reality, it could be more cost-effective due to its flexibility and ease of setup.

Leveling up with the help of Artificial Intelligence

By using artificial intelligence (AI), AMRs are able to learn from experience, adapt to new inputs, and perform similar tasks to humans. AI will play a key role in the setup and operation of AMRs, simplifying the deployment process and enhancing workflow.

Artificial intelligence combined with strategically positioned cameras that operate as extended robot sensors is helping certain AMRs take their smarts to the next level. Even before they reach a location, AMRs may learn to adjust their behavior using AI. This allows them to avoid high-traffic areas at certain times, such as when supplies are delivered and transported by fork truck regularly or when big groups of workers are present during breaks or shift changes.

Predictive Analytics: A Key Boon for Manufacturing

Predictive analytics is a powerful tool to help manufacturing companies make better decisions and improve efficiency. It provides a competitive edge for organizations in the manufacturing industry. It can help manufacturers identify new trends and opportunities and address challenges with an efficient solution.

Predictive analytics can forecast demand, manage inventory, and predict maintenance needs to minimize downtime. It is also used for quality control by identifying defective products before shipping. It is an excellent example of how data science can be applied to business problems to increase decision-making effectiveness.

Predictive analytics uses statistical techniques to identify patterns in data and use this information to make predictions. It is a powerful tool that can help manufacturing companies predict demand and make better production decisions. Accordingly, IDC estimates that spending on AI-powered applications, such as predictive analytics, will increase from $40.1 billion in 2019 to $95.5 billion by 2022.

Some advantages of predictive analytics

  1. Predict performance by detecting patterns

Predictive analytics can filter through massive volumes of historical data far faster and more precisely than humans. We can enhance output by 10% without losing first-pass yield by using machine learning technology to recognize recurrent patterns and other connection factors.

AI and machine learning can look for trends and combine them to assist your company in uncovering possible efficiency gains, foresee problems, and cut costs.

  1. Analyze market trends

Another application for PA is forecasting customer demand. Knowing what to expect in the future might help you determine what to do next.

Every business conducts some manual market research. For example, some consumer items are seasonal and sell better at certain times of the year. Demand forecasting may be aided by predictive analytics using statistical algorithms, which isn’t a new concept.

Customers’ future purchase patterns, supplier connections, market availability, and the impact of the global economy are all influenced by a variety of variables. The only way ahead is to manage them all through PA.

  1. Assists with inventory management

Supply chain management—stocking raw supplies, keeping completed goods, and coordinating transportation and distribution networks—is a complex commercial process that necessitates significant training, data from several sources, and excellent decision-making ability.

A computer model based on your data, on the other hand, may help supply chain managers make more confident and precise judgments. For example, such a model may ensure that you are never overstocked, understocked, or overburdened with unsaleable goods, even determining the best positioning of things on your shelves.

  1. Enhance the product’s quality

There are make-or-break steps in every manufacturing process where overall product quality is determined; these are frequently handled by humans who are prone to error. Artificial intelligence (AI) and machine learning are cutting-edge alternatives to this problem. Sensitive manufacturing stages can be delegated to robots that use machine learning to improve with each use. When compared to human-made items, this results in higher product quality.

PepsiCo, for example, has used machine learning systems to improve how it makes one of its famous Lays chips, from estimating potato weight to examining the texture of each chip with a laser system. These have resulted in a 35% increase in product quality.

Conclusion

Predictive analytics is undoubtedly a key boon for manufacturers as it can help them identify new trends and opportunities and address challenges with an efficient solution. It can also help manufacturers understand their customers better and create products that will be successful in the market.

Industry 4.0 – A Key Game Changer for Indian Manufacturing Sector

Industry 4.0, a new industrial revolution, is set to change the world of manufacturing as we know it. It is an initiative of the German government and has been gaining momentum in India as well.

The Indian manufacturing sector hasn’t had much of an opportunity to use Industry 4.0 technologies due to the absence of technology that would enable this transformation – until now!

The manufacturing sector in India is projected to grow by 10% annually, which will increase its share of GDP from 16% in 2017 to 25% by 2030. This growth will be driven by Industry 4.0 technologies, which are being adopted at an unprecedented pace in India.

The digital supply chain has evolved and enabled companies in India to make the best use of Industry 4.0 with technology such as IoT devices, cloud platforms, AI assistants, 3D printing, and robotics.

With Industry 4.0 technologies, industries can be more efficient and productive than ever before. They can connect their machines with other machines and share data to get real-time feedback on how the production process is going on.

Digitization of Manufacturing

COVID-19 has demonstrated the importance of moving to digitally-enabled smart manufacturing and flexible supply chain models. Diverse sourcing and digitalization will be critical to guaranteeing long-term recovery and developing more robust, creative supply chains.

Given the present pandemic scenario, India may benefit from the fact that companies all over the world are seeking a new source of supplies. AI, data analytics, and IoT can all assist in improving and speeding up the process in this area. Manufacturers can now manage quality control and automated production processes while also keeping track of the newest trends in order to reinvent manufacturing methods in response to client demand using real-time data.

Manufacturers may also use this technology to guarantee that safety and environmental regulations are fulfilled, which will improve employee health and morale. As a result, firms may simultaneously scale up production, simplify processes, and increase productivity to fulfill client expectations.

Initiatives by the government

Industry 4.0 is also being propelled by government efforts and investments to promote the notion of smart manufacturing. In India, the government established SAMARTH-Udyog Bharat 4.0 to help firms understand Industry 4.0 and actively push the construction of a smart industrial environment. According to the Indian government, just around 10% of manufacturers now have an Industry 4.0 strategy.

Industry 4.0, in which everything is connected, and every data point is examined, is certainly going forward in India’s industrial industry. In fields like medicines and textiles, Indian enterprises are at the forefront of R&D and have already established themselves as worldwide leaders. Automation and robots are also getting the attention they deserve from the industry.

Conclusion

Industry 4.0 has already changed the way we work in factories by increasing efficiency and improving product quality while also providing better customer service to our customers.

With India being one of the most potential markets globally, we must find a way to revive the sector. Industry 4.0 technologies such as IoT and AI prove to be game-changers. With these new technologies, Indian manufacturers will be able to increase their competitiveness and efficiency while improving workers’ job quality and skills.

Industry 4.0 is the fourth industrial revolution, and it is proving to be a game-changer for the Indian manufacturing sector. It has enabled manufacturers to automate their production processes, which has helped them to increase their efficiency and productivity.

Why Manufacturers Must Embrace Cloud for Better Efficiency & Productivity?

The manufacturing industry has been the backbone of the global economy for decades. But as globalization and technological advances have changed the way business is done, manufacturers are struggling to stay competitive.

Cloud technology is a relatively new player in the manufacturing world, but it’s quickly changing the game. Cloud solutions offer manufacturers cost-effective, time-saving services that can help them do everything from managing inventory to boosting productivity and efficiency.

Cloud solutions are becoming more and more popular in the manufacturing industry. The benefits of using cloud solutions are too many to count. Cloud solutions help manufacturers save time, money, and resources otherwise spent on IT infrastructure management. Cloud also helps manufacturers become more efficient and productive by enabling them to access their data from anywhere at any time.

However, manufacturers who depend on traditional methods fear migrating to the cloud for many reasons. In this article, we will discuss why migrating to the cloud could be the decision.

Developing Data Demands

The manufacturing industry is one of the most rapidly changing industries in the world. Cloud software solutions are a way to help companies be more agile in their production processes.

Cloud-based supply chains allow manufacturers to accommodate change quickly by collecting and storing enormous amounts of data. This includes data from manufacturing equipment, suppliers, and customers. The benefits of a cloud-based supply chain are that it allows for better communication and coordination among suppliers, customers, and partners.

Cloud manufacturing can help manufacturers reduce costs by automating inventory management and production scheduling. It also helps them find new markets for their products by providing real-time data on product demand across the globe. Cloud software solutions also help manufacturers track the status of a product or order.

Moving to cloud

Although the advantages of migrating to cloud computing are apparent, manufacturers may find it challenging to make the switch.

The thought of storing production data off-premises is unavoidably terrifying for certain employees. Although fears of data loss, security breaches, and lack of data ownership are legitimate, they aren’t entirely warranted.

The majority of cloud providers have made significant investments to ensure that their infrastructure is secure and resistant to threats. For example, Microsoft’s Azure cloud platform is ISO 27001-certified and provides disaster recovery as a service (DRaaS). These cloud solutions allow a separate data center to operate as your recovery site by automating the replication of your manufacturing data. This implies that even if your data is accidentally lost, it will not be lost permanently.

Conclusion

It’s not just about shifting data elsewhere when you switch to cloud computing. The cloud can improve a company’s output, efficiency, and overall business strategy when used effectively. With so much possibility, it’s difficult to imagine any firm ignoring cloud computing.

It’s no secret that the cloud has emerged as the predominant model for data storage and application hosting. The benefits of this model are clear: lower costs, better security, and increased scalability.

The decision to take your factory onto the cloud is not just a technology decision; and it’s a question of whether you want to be at the forefront of innovation and make your business more competitive or if you want to remain in the past and be left behind.

Cloud: The Future of Intelligent Manufacturing

Intelligent manufacturing is a comprehensive manufacturing concept that uses modern information and manufacturing technology to optimize production and product exchanges. It’s a revolutionary manufacturing model based on intelligent science and technology that improves the design, production, management, and integration of a specific product’s entire life cycle.

Smart sensors, adaptive decision-making models, innovative materials, intelligent gadgets, and data analytics can help with the full product life cycle. The efficiency of production, the quality of the products, and the level of service will all be improved.  And in the 4th Industrial Revolution, cloud computing will be critical in enabling the manufacturing industry to transform into Intelligent manufacturing.

The ‘4th Industrial Revolution,’ in which advanced technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain are blurring the barriers between the physical and digital worlds, has made cloud computing a vital driver. Cloud computing is accelerating transformation and innovation across many industries around the globe. This is also true in the manufacturing sector. According to a report by Market Research Future, the cloud manufacturing market is predicted to reach USD 111.90 billion by 2024.

Some advantages of cloud

Scalability, flexibility, and development efficiency are just a few benefits of using cloud services rather than traditional on-premise computing capabilities. The other advantages include:

Flexibility and scalability

One of the most significant benefits of using virtual infrastructure maintained by a service provider is the increased flexibility. On-demand cloud services can be created, configured, and terminated at the touch of a button.

Some cloud services even allow auto-scaling, which means the underlying computing resources automatically adjust to changing utilization rates. This adaptability is advantageous for applications with erratic load, short-lived applications such as prototypes or proofs-of-concept, and frequently changing infrastructure.

Profit margins grow due to lower overhead

According to AWS, the variable expenses of the cloud enable organizations to pay only for the resources they utilize.  As a result, they can decrease or eliminate the costs associated with running a data center. Businesses can increase their profit margins by avoiding the hefty costs of running their own data centers.

Flexibility in pricing

Costs are also flexible with cloud services. Many services offer consumption-based billing, which means clients are only charged for the services they actually use. On the other hand, static infrastructure configured for the maximum expected workload would need to be purchased and maintained in an on-premises scenario. This inflexibility can be overcome via the cloud.

Better product development and logistics

When integrated with cloud computing, IIoT facilities have access to real-time product usage data as well as consumer feedback. Quality issues can be handled on the production floor, resulting in less waste and lower mitigation costs. Machine learning applied to cloud data can give businesses actionable insights for future product development phases, resulting in higher revenue and customer happiness.

Conclusion

When it comes to technical transformation, cloud-native is the way to go, as it offers a significant competitive advantage.  This is why cloud manufacturing is the way of the future and why migrating networks to the cloud should be at the top of every manufacturer’s to-do list.

Learn more at Manufacturing IT Summit

Event Organised by Exito Media Concepts

Cloud Technology: A strong foundation for future-ready manufacturing enterprises

Today’s manufacturing industry is under pressure to meet rising demands for quicker delivery and increased throughput. Manufacturers can use cloud technology to address these demands. All levels of the manufacturing industry will use this technology in the future to stay more securely connected to consumers and the supply chain.

Manufacturing efficiency already relies on connectivity. Manufacturers must adhere to technology standards used throughout the supply chain to stay connected and address issues quickly.

According to Gartner, cloud services spending is expected to climb 23.1 percent to $332.3 billion in 2021, up from $270 billion in 2020. Cloud-based technology is no longer a disruptor in the manufacturing scene; instead, it is the way of the future.

Manufacturing has entered a new era known as Industry 4.0, characterized by digital change. Industry 4.0 technologies, such as artificial intelligence, machine learning, and Industrial IoT connectivity, rely on cloud computing for data storage and information processing.

Modern manufacturing with cloud computing

By digitizing practically every aspect of current manufacturing operations, information technology is revolutionizing the global manufacturing economy, a phenomenon termed Smart Manufacturing or Industry 4.0.

Cloud computing, along with other core technologies including next-generation wireless, improved sensors, high-performance computing, and computer-aided design, engineering, and manufacturing software, is critical to the smart manufacturing revolution.

Cloud computing technologies will impact virtually every facet of modern manufacturing organizations. Cloud computing will impact how businesses run their operations at the corporate level, from enterprise resource planning (ERP) and financial management to data analytics and workforce training.

Manufacturers’ integration with industrial supply chains will also rely heavily on the cloud. Cloud computing will change everything about manufactured products, from how they are researched,created, and produced to how they are fabricated and manufactured to how customers utilize them in the field.

In addition, cloud computing will be critical in allowing and democratizing new manufacturing production systems like 3D printing (also known as additive manufacturing), generative design, and the Industrial Internet of Things. In reality, digital services like cloud computing now account for at least 25% of all inputs used to create finished manufacturing goods.

Building future-ready manufacturing enterprises

In the new virtual paradigm, cloud software, platforms, and infrastructure have helped businesses enhance resilience in key business sectors, enable online collaborative working environments, and drive consumer interaction. According to PwC, cloud migration is a top priority for 59% of manufacturing COOs looking to improve their performance in the post-COVID marketplace. Manufacturers looking to the future are investing in cloud ERP software and applying it to empower their employees and customers.

Companies have also begun to reinvent their business strategies in response to changing customer demands. Servitization and Business to Business to Consumer (B2B2C) strategies include enhancing agility, increasing revenues, and assisting in developing long-term customer connections. The first step in this process is to move enterprise applications to the cloud. According to a Infosys report, 54% of those surveyed wanted to use the cloud as the foundation for digital transformation.

Conclusion

Cloud computing has infiltrated practically every aspect of modern production, resulting in a shift in how products are developed, manufactured, and used.

Cloud computing has numerous advantages for both large and small manufacturers, including reducing innovation cycles, accelerating time to market, facilitating collaboration, supporting supply chain integration, enabling new business models, improving operational efficiency, lowering costs, and improving employee and customer satisfaction. Therefore, cloud computing has become a critical underlying platform technology for enabling smart manufacturing and equipping the industry for the future.

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Key Focus Areas For Manufacturers in 2022

The manufacturing sector’s technological developments are critical to the global economy’s progress. Manufacturing innovations that improve the productivity and long-term viability of entire production processes are the newest manufacturing trends. On the other hand, manufacturing companies are looking to retain productivity with a smaller workforce in the aftermath of the COVID-19 outbreak. As a result, startups are working on smart sensors, immersive technological devices, and wearables that eliminate the need for workers to be physically present.

Industry 4.0 technologies are changing how the manufacturing industry works, making them more agile and resilient than ever before. While it’s easy to get caught up in the whirlwind of change, it’s also important to step back and consider the big picture. In 2022, the manufacturing industry is projected to see specific changes that, if properly utilized, can stimulate innovation and help organizations stay competitive. This blog will cover several key areas for manufacturers to focus on, in-order to shape 2022 and beyond.

Industrial automation

Although automation is not new, it has become more accessible, simple, and cost-effective since the development of robotic technology. It has also reduced and eliminated possible risks to human life, making the manufacturing process safer. Intelligent automation is a critical technology that will change the manufacturing industry because it simplifies numerous material handling, assembly, and painting processes.

According to the Industrial Automation Report 2021-2028, the global industrial automation market is expected to grow at a CAGR of 9.2%, from USD 191.74 billion in 2021 to USD 355.44 billion in 2028.

Additive manufacturing (3D printing)

Manufacturing will be transformed in the future years by additive manufacturing. Design freedom, higher-performing goods, enhanced plant productivity, sustainable procedures, and a shorter time to market are all advantages that come at little or no extra cost.

Aerospace and defence are at the forefront of additive manufacturing, closely followed by automotive production.

Xact Metal is a 3D metal printing startup based in the United States. The printers’ high-speed digital galvanometer system allows faster metal additive manufacturing printing. The solution 3D prints components in various metals and comes with software that makes machine setup, control, and monitoring a breeze.

Machine Learning and Artificial Intelligence

Artificial intelligence (AI) is intelligence that can mimic human cognitive abilities. On the other hand, machine learning (ML) refers to computer learning or improving performance by analysing and understanding data. Machine learning technologies are utilized in real-time in AI to allow factory machines to fulfill their tasks. Simultaneously, machine learning can be used in data science to evaluate the obtained data to uncover patterns and create future predictions, enabling you to build a smart manufacturing industry.

AI aids in the improvement of product quality and leads to market adoption. While AI, machine learning, and data science may sound similar, each has a distinct role and effect in the market.

Zeominds is a new AI-based product and service provider established in India. The software analyses machine data from IoT sensors in real-time. It detects signs of failure and deterioration in performance, lowering maintenance costs and enhancing machine productivity in industries.

Supply Chain Nearshoring

In 2020 and 2021, the global supply chain faced considerable challenges. The manufacturing industry will continue to face problems due to supply chain challenges. To address various supply chain difficulties, manufacturers frequently turn to local vendors.

While this may raise product prices, it can also be viewed as an opportunity to improve agility, flexibility, and quality, all of which lead to higher customer satisfaction. As a result of the globalization to localization strategy, on-shoring is expected to continue in 2022. This tendency will hasten the adoption of distributed or local manufacturing, a customer-centric strategy for meeting rising customer demands.

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Event Organised by Exito Media Concepts

How ASEAN Is Ramping & Scaling Up The Manufacturing Sector

Manufacturing is a crucial engine of ASEAN’s economic development, accounting for $670 billion, or 21%, of the region’s GDP in 2018 and is predicted to grow to $1.4 trillion by 2028.   Furthermore, by 2028, ASEAN stands to gain between $250 billion and $275 billion in incremental value from gains in productivity and unlocking new revenue streams such as new products and quality improvements by embracing Fourth Industrial Revolution (4IR) technologies, resulting in a 35 to 40% increase in manufacturing value added (MVA).

The Fourth Industrial Revolution is defined by an intelligent and connected ecosystem of people and machines, powered by five new technologies deployed throughout the entire value chain to assist companies in generating strategic value.

Manufacturers in ASEAN have a huge chance to take action. Suppose the area aspires to become a worldwide hub for industrial innovation and higher-value operations. In that case, businesses must equip themselves with these technologies in order to increase their agility, speed, and scale.

The Internet of Things (IoT)

The Internet of Things (IoT) is highly valued by companies with a wide range of distributed and portable assets who want to improve asset connectivity, conduct remote analytics, and improve business intelligence. It is one of the fastest-growing technologies and is expected to reach maturity across the manufacturing value chain by 2030.

Artificial Intelligence (AI)

AI has many applications across industries and will enable new levels of automation, resulting in both economic and social implications. AI is likely to be one of the most impactful technologies, with a diverse range of solutions at various maturity levels, including machine learning, decision-making, and computer vision. AI has many applications across industries and will enable new levels of automation, resulting in both economic and social implications.

3D printing

3D printing is challenging conventional manufacturing methods and democratizing product personalization. It is a fast-evolving technology with many government programs done internationally via research institutions and public-private partnerships. However, until its accessibility and affordability improve, 3D printing’s influence will be restricted to prototype and high-mix, low-volume items.

Robotics

Advanced robotics, like AI, offers a wide variety of solutions at varying stages of development, such as soft co-bots, autonomous vehicles, and remote robots. Manufacturing and transportation are the two primary sectors that will be transformed, lowering their long-term need for labor and reversing the offshore trend.

Wearables

Wearables are a constantly expanding and evolving technology that offers the maximum possible integration of man and machine. The variety of applications has continued to grow and diversify, resulting in considerable advances in production performance. These include raising safety awareness and preventing injuries, using augmented reality for hands-free training, and remotely monitoring at anytime.

Conclusion

ASEAN is already a major manufacturing base, and leveraging these technical improvements can help the industry grow significantly. Businesses must be aware of the shifting landscape and how it may affect their manufacturing facility operations.

Big data and the Internet of Things could help companies estimate demand and plan production better, resulting in improved customer service and bigger profit margins. On the cost side, manufacturing organizations may tighten inventory control and maximize production capacity by analysing precise, real-time data on everything from suppliers’ inventories and shipments in transit to downstream customer demand.

To compete in the digital world, manufacturers must take an experimental and iterative multifocal strategy that balances the need to tackle urgent issues with a long-term vision and transformation road plan. A new method of self-discovery that begins with a diagnostic of pain points, the creation of 4IR use cases, and collaborative sprint-based pilots will allow for the rapid and flexible development of confidence and momentum.

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Building the Factory of the Future: Key Takeaways for Manufacturing Leaders

Factory of the future, also called smart manufacturing or Industry 4.0, results from fast-altering disruptive technologies striking manufacturers’ cyclones. Operational technology, as well as information technology, are both observing great advancements and innovations.

The confluence of these two technologies is generating a paradigm transition. As a result, the manufacturing sector is undergoing the fourth industrial revolution.

In Africa, the future of work is playing out moderately different from the occurrence in advanced economies. As a result, new technologies are likely to develop new jobs and boost the productivity of existing ones. Within the world of technology, this section focuses on digital technologies as these technologies have the potential for rapid future generation and are also adopted across the world. This approach also includes the generation and adoption of low-skill-biased technologies that enable low-skilled workers to learn and upgrade their skills on the job.

Recent evidence points to large positive employment effects and no displacement of low-skill jobs in African countries after the arrival of fast internet connectivity. Digital technologies influence employment through a suite of different channels, comprising changes in firm entry, increase in productivity, and changes in exports.

Results of smart manufacturing along with foundational technology- The Internet of Things shows 80% increased efficiency and 42% lesser product defects in manufacturing processes. This approach indicates the best time to invest and implement such technologies is now. As a result, one can expect better growth in the manufacturing sector and a strong boost to the continent’s economy.

Trends and Technologies shaping the African manufacturing sector.

While the specific emphasis is on digital technologies, other technical upgrading categories enable organizations to retain jobs and skills.

Repurposing local items: For example, the global demand for outfits sharply decreased during the pandemic, while Africa had a large demand for personal protective equipment (PPE). In the face of global export bans on COVID-19 essentials, governments supported the repurposing of local manufacturing firms into PPE production. This strategy ensured that skills were being retained for sustainable production in Africa. This scenario was particularly evident in garment companies in the Hawassa Industrial Park and Transgreen in Ethiopia.

Need for Adaptive Innovation: In Africa, innovation and technological development have mostly relied on governments providing the enabling business environment, investing in research and development (R&D), and supplying the analog complement, for example, electricity and the regulatory framework (top-down model). However, the private sector can implement adaptive innovations and inventions operating in an entrepreneurial model and often sponsors development partners (bottom-up model).

Expanded use of digital technologies: Many industries expanded the use of digital technologies in response to the pandemic. The survey conducted by Business Pulse of 18 countries in Africa shows that 22% of organizations either started or increased the use of the internet, social media, and other digital technologies. The intensity in the use of digital technologies was higher in financial, manufacturing, information, and communications services. Over time, a greater percentage of Kenyan associations adopted digital technologies in response to the pandemic, especially among manufacturing firms and small firms, driving increased sales and employment in these countries.

Learn more at: Manufacturing IT Summit – Africa Edition

Event by Exito Media Concepts