Artificial Intelligence (AI) Certification Requirements Of Six Sigma

Advances in technology are revolutionizing the manufacturing industry by streamlining complex processes and making them more efficient. By minimizing machine downtime, predicting maintenance needs, and optimizing factory floor resources, manufacturers can improve their operations. Making it simple to collect data on equipment performance and find quick fixes are two of the ways AI and machine learning are disrupting the manufacturing industry.

Key AI Segments That Affect Manufacturing

For example, image and video recognition, prescriptive modeling, smart automation, advanced simulation and complex analytics all fall under the umbrella of artificial intelligence (AI), according to Cap Gemini. The following are some examples of how artificial intelligence can be used in manufacturing processes:

  • Applied artificial intelligence: Automatically learning from the underlying patterns without having to be explicitly programmed to do so.
  • Extensive training: It is a subset of machine learning that uses neural networks to analyze images and videos.
  • Automated devices: Collaborative robots and autonomous vehicles are examples of AI agents that carry out their own tasks. 

An incredible CAGR of 57 percent is forecast for the AI market in manufacturing, from $1.1 billion to $16.7 billion by 2026. Massive data sets, increasing industrial automation, increased computing power, and higher capital expenditures are all contributing to the growth.

For Heavy Asset Manufacturing, This Is A Game Changer

The efficiency of heavy manufacturing has been revolutionized by artificial intelligence (AI). Traditionally, capital expenditures were used to pay for improvements (i.e. For the sake of replacing old equipment, they spend a lot of money on new ones. Using AI, these companies are able to 1) better analyze machine data to find proactive maintenance solutions and 2) replace manual monitoring activities by machine operators with automated AI decision-making on equipment status.

A vertical raw mill manufacturer used an AI-driven "asset optimizer," according to a McKinsey report, to boost output. Data from hundreds of process variables was quickly gathered by the solution. They used neural networks and analytical algorithms to optimize the controls on the processes they mapped out. The optimizer was able to take control of the manufacturing process on its own, without the need for operator intervention. This resulted in a profit increase of 11.6 percent compared to the manual mode after eight months of implementation. 

Predictive Maintenance And Its Importance

Maintenance of production machinery and equipment can have a significant impact on operational profits for manufacturers. Asset failure accounts for 42% of all unplanned downtime, costing manufacturers $50 billion a year.

Artificial intelligence (AI) algorithms are used in predictive maintenance to foresee when machines and equipment will break down. Continuously monitoring equipment sensors, predicting when they will fail, and recommending proactive, condition-based maintenance schedules are all tasks that can be taught to artificial intelligence. Material formula deviations, subtle changes in equipment behavior, or changes in raw materials are examples of these deviations. Consequently, there is less downtime and the useful life of equipment is extended.

Predictive maintenance is a key use case from General Motors. Cameras mounted on assembly robots are analyzed by the automaker for signs of robotic component failure. When the AI-powered system was put to the test, it discovered 72 instances of component failure in 7,000 robots, preventing an unplanned outage.

Incorporating Smart Factories And Improving Product Safety

Manufacturers like Bridgestone recognize the importance of tire quality as a safety component in automobiles. Automated control over quality assurance was created in order to achieve this goal, and the company used a machine learning system to accomplish this task. It uses sensors to monitor 480 quality parameters and automatically controls the machine in real time. By eliminating bottlenecks in the molding process, we were able to increase productivity by twofold while also improving product uniformity by 15% over the human-controlled process.

Future smart factories will also use machine learning. A new video app from Nokia, for example, uses machine learning to notify manufacturing workers when there are anomalies in the production process, allowing them to correct the problem immediately. Additionally, the assembly line can communicate directly to a datacenter more than 600 kilometers away using a 5G network.

Develop Your AI Capabilities Right Now!

Artificial intelligence (AI) is now at the center of manufacturing, and its use is increasing year after year. It's imperative that we train more machine learning experts in supervised and unsupervised learning, math and statistics, and hands-on modeling to meet the growing demand for these skills. We also need more deep learning experts who can master TensorFlow, an open-source software library for machine learning and deep neural networks.

Six Sigma's Place In The Manufacturing Industry

The fundamentals of Six Sigma were originally developed as a form of quality control, particularly for large manufacturing firms. They were intended to help these firms improve their performance. Manufacturing processes were improved and defects were eliminated as a result of the implementation of this quality control system. The Six Sigma methodology has since been adopted in a wide variety of industries around the world. What is Six Sigma, and what do we mean when we say "Six Sigma manufacturing?" Let's get started.

To Get You Up To Speed On Six Sigma

Six Sigma is a set of tools and techniques created by Motorola in 1986 to enhance the company's manufacturing processes. In 1995, Jack Welch, CEO of General Electric, used this concept as the foundation of the company's business strategy, which has since been adopted by a wide range of industries. By the close of the twentieth century, nearly half of the Fortune 500 had implemented this strategy.

Six Sigma aims to improve the output quality of a manufacturing process by identifying and eliminating defect-causing elements and reducing the changeability of business and manufacturing processes. The project's value is quantified using a set of defined steps in this methodology. The use of Six Sigma in manufacturing can help a company reduce pollution, shorten the time it takes to complete a process, and lower its production costs, all of which can lead to higher profits and customer satisfaction.

Following the registration of its service mark, Motorola revealed that it had saved more than $17 billion by the end of 2006 thanks to the unique quality improvement processes offered by Six Sigma.

The Six Sigma Process

An association between lower production costs and improved product quality was discovered by Motorola during the 1980s when Six Sigma was first developed. The conventional wisdom held that higher-quality products are more expensive to produce. That was not the case at all, as it turned out.

Continuous efforts to improve manufacturing processes are critical to any company's success, according to the Six Sigma philosophy. To improve these processes, it is important to measure the various factors involved in them statistically.

As a result of using Six Sigma, organizations have set up their systems and processes to include measurable metrics in various business functions. Determine the projects that best fit their business objectives by using this method. Six Sigma is a four-phase process that begins when a project or goal is defined and ends when it is completed.

  1. Measure
    In this step, the organization assesses current systems to determine, among other things, what constitutes a baseline or benchmark.
  2. Analyze
    This phase focuses on finding ways to eliminate errors in the system. Statistical analysis can be used to find the source of a problem in many different ways.
  3. Improve
    To improve a process or goal, project teams first look for the best possible solutions, and then develop and test a plan of action for doing so.
  4. Control
    There are many ways in which an organization can prevent future defects, such as modifying operating instructions or policies.

Goals And Characteristics Of The Six Sigma Process

Six Sigma has a strong emphasis on quantifying and measuring the financial benefits of any project, and this is one of its most important characteristics. In order to better the organization's manufacturing process, all of these features allow it to define the responsibilities and roles of each team member.

The primary goal of Six Sigma manufacturing is to reduce the number of defects in the manufacturing process. The ultimate goal of this system is to have 3.4 defects per million chances. At first glance, this may appear to be an insurmountable challenge. However, most manufacturing firms use this technique to produce high-quality goods in the end.

Accreditation In Six Sigma Quality Management

Another distinguishing feature of Six Sigma is the availability of various levels of training and certification. Six Sigma certifications are broken down into "belts," like many martial arts systems—for example, a Six Sigma Green Belt is the first certification. Six Sigma Black Belts are awarded to the most accomplished practitioners.

If you have a Six Sigma Green Belt certification, you can demonstrate your ability to identify, measure, analyze, improve and control your projects. As a result, Six Sigma certificate holders can apply their skills in organizations around the world. Even though the methodology originated in manufacturing, it has since spread to other industries.

What Is "Six Sigma" And Why Is It Important?

Professionals who can identify and remove risks, errors, or defects in a business process are validated by the Lean Six Sigma certification.

For the most part, obtaining a Six Sigma Certification requires that candidates have a certain amount of experience and demonstrate their knowledge in the field. Certification in process improvement can help you become an expert and increase your credibility.

Now that we know what a six sigma certification is, let's take a look at the different levels of certification.

It Is Possible To Earn A Variety Of Six Sigma Certifications

In addition to the various certification levels, six sigma has a number of different certifications, such as White Belt, Yellow Belt, Green Belt, and Black Belt.

  • The White Belt in Six Sigma
    The fundamentals of Six Sigma are covered at this level of certification. White belts help an organization's change management efforts and work with the local problem-solving teams that they help establish and maintain. 
  • The Six Sigma Yellow Belt
    Your Six Sigma expertise has advanced to the point where you can apply it effectively in any environment. A problem-solving role awaits you.
  • Accredited Six Sigma Green Belt
    At this point, you've mastered complex analysis and are capable of resolving issues that have an impact on product quality. To help black belts, green belts lead projects and collect data.
  • A Master Black Belt in Six Sigma
    Those with the rank of "black belt" have achieved a high level of proficiency and are considered thought leaders. In addition to overseeing projects, they offer training.
  • The Six Sigma Master Black Belt
    This is the most advanced level of Six Sigma. At this level, you'll be able to influence strategy, create key metrics, serve as a consultant, and mentor other belts.

Certification Requirements Of Six Sigma

According to the International Association for Six Sigma Certification, you must pass the IASSC Certified Lean Six Sigma Green Belt Exam with a score of at least 70% in order to earn the professional designation of IASSC Certified Green Belt (IASSC-CGBTM). However, the IASSC Certified Lean Six Sigma Green Belt Exam has no prerequisites.

Top Six Sigma Certification Reasons

If you want to be a six-sigma certified professional, here are some of the benefits:

  • Eliminate Errors & Defects in Your Organization
    An individual can play a critical role in an organization's ability to detect and eliminate errors by obtaining a Six Sigma certification and using Project Management Software like Celoxis. General Electric saved $350 million in 1998 thanks to the Six Sigma process, and Motorola saved $17 billion in 2005 thanks to the Six Sigma process. By the end of the decade, GE had saved over $1 billion.
  • Streamline Operations and Maintain a Focus on Quality
    It is possible to analyze a company's manufacturing and business processes after completing six-sigma green certification. An in-depth review of current practices and their impact on quality will also be possible. Even more importantly, certification demonstrates your ability to consistently improve quality—monitoring processes closely to ensure there is little to no deviation from the mean and taking corrective measures if a project is veering off course.
  • To Become More Valuable Across the Board
    It's one of the most significant benefits of becoming certified in six sigma. Six Sigma techniques are used in a wide range of industries because they are industry-neutral. This includes aerospace, telecommunications, banking and financial services, IT, human resources, and marketing, to name just a few. Any company's bottom line benefits from the expertise of those who have earned their six sigma certification because they are well-versed in the dozens of different methods that can be used to streamline business processes, improve employee acceptance, reduce costs, and increase revenue.
  • Ensure that the rules are being followed
    Six Sigma is known for its strict adherence to the highest possible quality standards. A large number of vendors, procurers, and oversight organizations use Six Sigma standards when evaluating products or accounts because of this. Six Sigma Green Belts can help their organizations maintain profitable contracts while adhering to international norms and standards.
  • Ascend the ranks of management
    You'll be able to accurately calculate the financial rewards of any Six Sigma project once you've earned your Six Sigma certification. Your risk assessment and financial management abilities will be greatly enhanced, which will help you land a position in a middle or upper management position later on in your career.

Lean Six Sigma Green Belt Certification
Learn Six Sigma and the DMAIC MethodologyVIEW COURSE

  • Affordable Salary
    It takes a lot of hard work to become certified in six sigma. The research is interesting. Getting through these tests is no easy feat. Moving up the belt levels is even more time consuming, requiring years of hard work. Because of this, six sigma professionals can expect to earn a good salary. Six sigma certified professionals earn an average annual salary of $107,000, making them some of the highest-paid professionals in the world.
  1. A six sigma certified professional in India can expect a yearly salary of over Rs. 20 lakhs.
  2. A six sigma professional in France can expect to make over 62,000 euros a year.
  3. Based on location and experience, six sigma certified professionals in Singapore can expect to earn between SG$53,000 and SG$220,000 per year.
  4. There are six sigma-certified professionals in the UK who make around £60,000 a year.
  5. Spain pays an annual salary of €58,500 to a six sigma certified professional.
  6. A certified six sigma professional in Canada can expect to earn about C$78K per year.
  • Acquire Firsthand Knowledge of Quality Control
    Students learn how to apply Six Sigma principles to real-world situations by working on real-world projects. Even before you start working, taking a Six Sigma course can help you gain valuable experience.

Having Six Sigma-Certified Employees Is A Good Thing For Businesses.

  • Productivity Increases
    DMAIC methodology and lean tools were used by Allen medical to increase the production rate of Arm boards. On average, they saved 45 seconds per arm board and increased production from 5.3 to just over 6 per hour with their new method.
  • Spontaneous Savings
    Defect reduction lowers production costs and increases profits because it reduces waste. Creating a poor product could end up costing you a lot of money. It is possible to reduce the cost of a product or service by making it inferior. The true cost of quality is this.
  • Confidence amongst your customers is increased
    Six Sigma is a powerful tool for streamlining operations and improving customer satisfaction. Citibank, for example, was able to identify and correct wasteful steps in their processes using the cross-functional process mapping (CFPM) methodology, with excellent results in customer satisfaction levels.
  • Acquire the Confidence of Your Customers and Partners.
    Employees with relevant credentials are trusted by customers and other stakeholders. Six Sigma certification indicates that quality will be the primary focus of your employees. Investors and partners have more confidence in a company that is focused on quality.
  • Reduce the number of employees who leave the company and the cost of training new ones
    DMAIC can also be used in HR management, according to a research gate publication. The article includes a case study of a multinational company that was losing millions of dollars each year due to 35 percent employee turnover. They aimed to bring it down to 25%. Several contributing factors were discovered after implementing Six Sigma; two of the most important being poor career prospects and low pay. They were able to reduce employee turnover by 10% and save $1.1 million as a result of implementing new hiring procedures and training for new hires.

Accreditation In Six Sigma

A Six Sigma certification cannot be overstated in terms of its importance. In a world where job opportunities are dwindling, it is critical for individuals to maintain their competitiveness and employability. As a business owner, you can rest easy knowing that your production lines are being run by experts who are solely concerned with ensuring the best possible quality.

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