Article | December 14, 2021
The manufacturing industry has evolved to new heights of innovation, productivity, and excellence with digital transformation. Manufacturing digitalization has made operational procedures more skilled, accurate, and time-savvy.
“Many companies simply are not willing to change or think they are done once they make a change. But the truth is technology; consumer demands, the way we work, human needs and much more are constantly changing.”
Michael Walton, Director, Industry Executive (Manufacturing) at Microsoft
With a CAGR of 19.48 percent between 2021 and 2026, the digital transformation in the manufacturing market is expected to reach USD 263.93 billion by 2026. Manufacturing plants adopt digital technology to improve, automate, and modernize processes as part of Industry 4.0.
So, what are the key benefits of digitalization for manufacturers? This article will elaborate on the top five benefits of digital manufacturing transformation.
How to Define Digital Manufacturing?
Manufacturing digital transformation involves integrating digital technologies into processes and products to improve manufacturing efficiency and quality. Manufacturing's digital transformation aims to increase operational efficiency and reduce expenses. The digital transformation techniques ensure product quality. It also makes work more efficient, safe, and stress-free.
What Is Included in Manufacturing Digitization (Industry 4.0)?
Industry 4.0 is the digitalization of manufacturing. Cyber-physical systems, IoT, and cloud computing are current trends in manufacturing automation and data exchange. Connected devices, cloud computing power, and the modern emphasis of lean, efficient operations enable Industry 4.0 to construct advanced and innovative smart factories.
Industry 4.0 includes design, sales, inventories, scheduling, quality, engineering, customer and field service.
Five Benefits of Digital Transformation in Manufacturing
Manufacturing organizations can benefit from digitalization in a variety of ways. It can help make the work more efficient, decentralized, and secure. It further creates new business opportunities and attracts new talent to the industry. Additionally, integrating products into a digital ecosystem increases their value and appeal. Let’s dig deeper into each of the five key benefits.
Technology is an invaluable companion in reducing the manufacturing company's expenses in the future. The incorporation of digital technology results in the transformation of procedures and the digitization of documents, resulting in overall process optimization. Therefore, a reduction in labor costs might be expected as a result of the elimination of unnecessary expenditures.
Additionally, digitization enables businesses to assess and estimate expenses considerably more precisely, ensuring that budgets stay on track. Additionally, it eliminates andsubstitutes inefficient jobs within processes, significantly increasing their efficiency. This efficiency is translated into time savings, which results in a substantially more cost-effective manufacturing process.
Manufacturing digital transformation allows organizations to supervise manufacturing remotely, allowing production to continue uninterrupted. In rare cases like Covid-19, digitalized businesses have not had to cease or even slow down production. These systems can work without interruptions for much longer than any worker.
Digitalization also boosts methodology flexibility and reactivity. For example, if a production plant has a problem, an automatic alert is generated, and the issue is resolved regardless of the day, time, or presence.
Improved Operational Efficiency
Smart product connectivity allows devices to connect and communicate with each other (M2M). This connectivity enables decentralized decision-making. Many duties no longer require an employee to be physically present. New manufacturing and production models minimize boring, risky activities while increasing accuracy, efficiency, and responsiveness.
Transforming businesses through digital means making better decisions based on real-time data. Training, changes, and repairs are no longer issues due to reduced frequency and automation.
New Business Opportunities
New digital technologies enable the manufacture of previously unviable products and services, generating new revenue streams. Also, new services (innovation or reorientation) are launched considerably faster. Companies may utilize big data and AI to experiment, anticipate trends, and predict about new advancements. These technologies can help organizations become more eco-friendly and create products that are less detrimental to our environment.
Attracts New Talent
Professionals with fundamental talents in this complicated and disruptive environment are drawn to digitalizedorganizations that are up-to-date with trends and processes. Also, if the change is managed well, it will lead to higher profitability, increasing employee satisfaction. Human motivation, along with excellent digital technologies, will reflect in the company's production and profitability.
Dusseldorf@Germany: The Deloitte Digital Factory
The digital factory in Dusseldorf provides a flexible setting for innovative workshops and training, bringing together the old and new worlds of supply chain and industrial operations to provide a seamless experience. Specific use case examples, as well as the digital solutions sector, will motivate and encourage businesses to get on their digital transformation journeys, making use of the most up-to-date technologies in the process.
Manufacturing digitalization has a lot to offer the industry, and many manufacturers are capitalizing on this new phase of the industrial revolution by incorporating cutting-edge technologies into manufacturing and business operations. As said previously, the benefits of digital transformation in the manufacturing business are increasing the importance of digitalization in the industry. Transform your traditional manufacturing operating processes with these new manufacturing trends and observe the results that other benefitting manufacturing businesses have achieved.
Why is digitalization vital in manufacturing?
Manufacturing process digitization improves overall business performance. But the results are seen across the factory. Digital transformation improves working conditions for employees and streamlines daily operations.
How are digitization and digitalization different?
Digitalization is a transformation of data and processes. Digitalization is the use of digital technologies to collect data, identify patterns, and make better business decisions.
How digital technologies are applied in manufacturing?
Digital manufacturing technologies enable the integration of systems and processes across all stages of production, from design to production and beyond.
Article | December 30, 2021
Risk management in manufacturing has always been a top priority for manufacturers to avoid any unfortunate incidents. As a result, it is possible to create a more secure work environment for employees by conducting risk assessments and implementing remedies.
“If you don’t invest in risk management, it doesn’t matter what business you’re in, it’s a risky business.”
– Gary Cohn, an American Business Leader.
As of 2019, the worldwide risk management market was valued at $7.39 billion, and it is expected to rise at a CAGR of 18.7% from 2020 to 2027, according to allied market research.
Why is Risk Assessment Critical in Manufacturing?
The manufacturing industry must have a credible risk assessment and management plan to defend itself from any breaches. Risk assessment helps firms understand the dangers they face and their implications if their systems are compromised. Hence, risk assessment is very critical in the manufacturing industry.
Five Risk Assessment Principles
Identify hazards/risks - Employers must examine their workers' health and safety risks. Therefore, an organization must regularly inspect its employee’s physical, mental, chemical, and biological threats.
Identify who may be hurt and in what way – Identifying the personnel both full-time and part-time at-risk. Employers must also examine threats to agency and contract personnel, visitors, clients, and other visitors.
Assess the risks and act accordingly - Employers must assess the likelihood of each danger causing injury. This will evaluate and lower the chance at the working space. Even with all safeguards, there is always some danger. Therefore, employers must assess if danger is still high, medium, or low risk.
Get the Risks Documented - Employers with five or more employees must record the critical findings of the risk assessment in writing. In addition, register any risks identified in the risk assessment and actions to minimize or eliminate risk.
This document confirms the evaluation and is used to examine working practices afterward. The risk assessment is a draft. It should be readable. It shouldn't be hidden away. The risk assessment must account for changes in working techniques, new machinery, or higher work objectives.
5 Manufacturing Risks to Consider in 2022
Accidents at Work
Even if official safety policies and programs are designed, followed, and enhanced, manufacturers may endure workplace accidents and injuries. Risk assessment for workplace accidents assists in mitigating the negative impact on both employees and the organization.
Manufacturers have distinct issues regarding fuel handling and hazardous waste disposal in facilities. Sudden leaks or spills may be extremely costly to clean up and result in fines from state and federal agencies. Risk assessments for such plant accidents assist businesses in mitigating financial losses.
Essential machinery throughout the production process might fail at any time, incurring significant repair or replacement costs. Therefore, it's critical to recognize that business property insurance may not cover mechanical issues.
Risk assessment and prepayment solutions protect against equipment failures without interfering with typical company operations.
Supply Chain Disruption
Dependence on your supply chain may result in unintended consequences that are beyond your control. For example, if you experience downtime on the manufacturing line due to a supplier's failure to supply materials or parts, you risk losing revenue and profitability. If a disturbance to your supply chain poses a hazard, risk management can assist you in managing it more effectively by quickly identifying the risk and providing a suitable response.
Operation Temporarily Suspended
Depending on the severity of the weather event, a factory might be severely damaged or perhaps utterly wrecked. While major repairs or rebuilding are being undertaken, recouping lost income might be vital to the business's future profitability.
Risk assessment in this area enables your organization to budget for overhead expenditures such as rent, payroll, and tax responsibilities during the period of suspension of operations.
Risk management is critical in manufacturing because it enables manufacturers to comprehend and anticipate scenarios and create a well-planned response that avoids unnecessary overhead costs or delays in delivering the production cycle's final result. Manufacturing risks are undoubtedly not limited to the risks listed above and may vary according to the nature of the business and regional environmental conditions. Therefore, create a well-defined strategy to overcome threats in your business and be productive at all times.
How are manufacturing business risks classified?
In most cases, the business risk may be categorized into four types: strategic risk, regulatory compliance risks, operational compliance risks, and reputational risks.
Why should a manufacturer conduct a risk assessment?
Every manufacturing employment has risks for injury or illness. But risk evaluations can significantly minimize workplace injuries and illnesses. In addition, they assist companies in discovering strategies to reduce health and safety risks and enhance knowledge about dangers.
Article | December 8, 2021
A digital twin is a virtual model of an object or system that comprises its lifecycle. It is updated with real-time data and aids decision-making through simulation, machine learning, and reasoning for the production system.
IoT sensor data from the original object is used to create a digital twin of the system. This cloud-connected data allows engineers to monitor systems and model system dynamics in real-time.
Modifications can be tested on the digital twin before making changes to the original system.
Considering that digital twins are supposed to replicate a product's complete lifecycle and are used throughout the production process, it's not unexpected that digital twins have become prevalent in all stages of manufacturing.
“More than a blueprint or schematic, a digital twin combines a real-time simulation of system dynamics with a set of executive controls,”
– Dr. Daniel Araya, consultant and advisor with a special interest in artificial intelligence, technology policy, and governance
Companies will increasingly embrace digital twins to boost productivity and decrease expenses. As per recent research by Research and Markets, nearly 36% of executives across industries recognize the benefits of digital twinning, with half planning to implement it by 2028.So how does this digital twin technology benefit modern manufacturing? Let's have a look.
How the Digital Twin Drives Smart Manufacturing
Digital twins in manufacturing are used to replicate production systems. Manufacturers can develop virtual representations of real-world products, equipment, processes, or systems using data from sensors connected to machines, tools, and other devices.
In manufacturing, such simulations assist in monitoring and adapting equipment performance in real-time. With machine learning techniques, digital twins can predict future events and anticipate potential difficulties.
For maintenance, digital twins allow for quick detection of any problems. They collect real-time system data, prior failure data, and relevant maintenance data. The technique employs machine learning and artificial intelligence to predict maintenance requirements. Using this data, companies can avoid production downtime.
Digital Twin and Artificial Intelligence (AI) in manufacturing
Using digital twins and AI in production can enhance uptime by predicting potential failures and keeping equipment working smoothly. In addition, there are significant cost savings in the planning and design process as digital twins and AI can be used to replicate a specific scenario.
Maintenance is another area that has seen significant progress with the use of digital twin manufacturing. A Digital Twin powered by AI can predict when a piece of equipment will fail, allowing you to arrange predictive maintenance that is not simply taking information from OEM manuals but can significantly cut maintenance expenses along with reducing downtime.
Using the digital twin, it is feasible to train virtual workers in high-risk functions, similar to how pilots are trained using flight simulators. It also frees up highly skilled workers to upgrade the plant and streamline operations.
General Electric Created the Most Advanced Digital Twin
General Electric Company (GE) is a multinational business based in Boston that was founded in 1892. It has developed the world's most advanced digital twin, which blends analytic models for power plant components that monitor asset health, wear, and performance with KPIs (Key Performance Indicators) determined by the customer and the organization's objectives. The Digital Twin is powered by PredixTM, an industrial platform built to manage huge amounts of data and run analytic algorithms. General Electric Company provides extra "control knobs" or "dimensionality" that can be utilized to improve the operation of the system or asset modeled with GE Digital Twin.
Given the numerous advantages of digital twin manufacturing, the potential for digital twins to be used in manufacturing is virtually endless in the near future. There will be a slew of new advancements in the field of digital twin manufacturing. As a result, digital twins are continually acquiring new skills and capabilities. The ultimate goal of all of these enhancements is to create the insights necessary to improve products and streamline processes in the future.
What is a digital twin in manufacturing?
The digital twins could be used to monitor and enhance a production line or perhaps the whole manufacturing process, from product design to production.
How digital twin benefit manufacturers?
Using digital twins to represent products and manufacturing processes, manufacturers can save assembly, installation, and validation time and costs.
What is a digital thread?
A digital twin is a realistic version of a product or system that replicates a company's equipment, controls, workflows, and systems. The digital thread, on the other hand, records a product's life cycle from creation to dissolution.
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"name": "How digital twin benefit manufacturers?",
"text": "Using digital twins to represent products and manufacturing processes, manufacturers can save assembly, installation, and validation time and costs."
"name": "What is a digital thread?",
"text": "A digital twin is a realistic version of a product or system that replicates a company's equipment, controls, workflows, and systems. The digital thread, on the other hand, records a product's life cycle from creation to dissolution."
Article | December 13, 2021
Lean manufacturing principles enable manufacturing businesses to achieve spectacular results and overhaul their conventional operations. A wide range of industries have adopted lean manufacturing because of its enormous advantages, and they have seen excellent results as a result.
The 2010 Compensation Data Manufacturing survey indicated that 69.7% of manufacturing organizations employ lean manufacturing principles. By consuming this data, we can understand how far organizations have progressed toward incorporating lean principles into their operations.
“Many companies are not willing to change or think they are done once they make a change. But the truth is technology, consumer demands; the way we work, human needs, and much more are constantly changing.”
–Michael Walton, Director, Manufacturing Industry Executive at Microsoft
Let's look at some examples of lean manufacturing from some well-known companies. These leading-edge examples of lean manufacturing will shed light on how lean principles positively affect.
Leading Companies Using Lean Manufacturing Effectively
Successful manufacturing businesses like Toyota, Nike, and Caterpillar are currently employing lean manufacturing ideas in their production processes. In addition, Intel, Parker Hannifin, and John Deere embrace these techniques. From them, we've described three different organizations in various sectors that are successfully adopting lean manufacturing.
John Deere has also implemented a lean manufacturing strategy. As a result, many of their quality control procedures are automated, which means that more components can be checked for flaws in less time. This means that more supply can be released each day, and the product can be supplied at a lower price to the consumer.
Additionally, these controls monitor the manufacturing process for each component of their products, ensuring that they never manufacture more than is required and waste essential materials in the process.
Intel, known for its computer processors, has used lean manufacturing techniques to provide a higher quality product for an industry that requires zero defects. In the past, it took more than three months to get a microprocessor to the manufacturer, but this principle has helped shorten that time to less than ten days.
Intel rapidly learned that creating more but worse quality was not the way to raise revenues and increase consumer satisfaction with its products, which were extremely precise and technical. Instead, both parties gain from quality control and waste reduction initiatives. This is even true in the tech industry, where goods are constantly changed and upgraded.
Toyota, the world's largest automaker, was the first to implement lean manufacturing in its manufacturing operations. But, even more importantly, they've learned how to limit products that don't match customer expectations by eliminating waste. To achieve these goals, Toyota employs two essential procedures.
The first is a method known as Jidoka, which loosely translates as "automation with the assistance of humans." This implies that, although some of the work is automated, humans always ensure that the result is of the highest quality.
When something goes wrong, the machines have built-in programs that allow them to shut themselves down. Known as the Just In Time (JIT) model, this is the second stage. Once the last part of a process has been finished, the next phase can begin. No unnecessary work will be done if there is a problem with the assembly line. This lean manufacturing technique has inspired thousands of other businesses.
Lean manufacturing principles and their execution require discipline and patience to get the results out of them. When we see the successful lean manufacturing examples, it is not a fraction of a second success. They have devoted their time, energy, and efforts to modifying every single operational process in order to become a part of lean manufacturing. Lean manufacturing is not a method; it is a way of life that transforms your business practices and takes your firm to a new level of operations. Gain insights from renowned organizations' lean manufacturing success stories to help you become a part of the lean companies of 2022.
What is the effect of lean manufacturing?
Lean is a performance-based, continuous-improvement strategy that removes waste and unnecessary processes from organizational operations. As a result, your company becomes more focused on the results.
Is it possible for lean manufacturing to fail?
It is conceivable in some circumstances, such as failing to focus on a single system implementation or implementing too many system changes at once and failing to have a sound follow-up system to check that everything is working effectively.
Why do certain businesses struggle with lean manufacturing?
Most businesses fail to see that lean is a management philosophy, not a set of tools. As a result, most corporate leaders either don't understand or lack the patience and control to implement lean manufacturing.
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"text": "Lean is a performance-based, continuous-improvement strategy that removes waste and unnecessary processes from organizational operations. As a result, your company becomes more focused on the results."
"name": "Is it possible for lean manufacturing to fail?",
"text": "It is conceivable in some circumstances, such as failing to focus on a single system implementation or implementing too many system changes at once and failing to have a sound follow-up system to check that everything is working effectively."
"name": "Why do certain businesses struggle with lean manufacturing?",
"text": "Most businesses fail to see that lean is a management philosophy, not a set of tools. As a result, most corporate leaders either don't understand or lack the patience and control to implement lean manufacturing."