Article | January 20, 2022
COVID drove many supply chain disruptions in 2021. This was particularly true for companies using Asia to source product. Sadly, the bottleneck continues in 2022, but there are new channels now available to serve the North American material handling market. System integrators, dealers, and distributors in the space cannot work with vendors who offer slow delivery timetables. Customers want shelving, racking, conveyors, and robotics no later than Q3 2022.
MODEX 2022 provides answers to solve the supply chain disruption
MODEX 2022 (March 28-31, 2022) in Atlanta, will once again bring many global manufacturers to the event. Nearly 800 exhibitors and 40,000 attendees will respect COVID health and safety protocols while learning about much needed solutions from a variety of global manufacturers. For the first time there is an African company exhibiting at MODEX: LinkMisr International.
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.
"name": "What is the effect of lean manufacturing?",
"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."
Article | December 8, 2021
An agile manufacturing strategy is one that places a strong priority on responding quickly to the needs of the customer, resulting in a major competitive advantage.
It is a captivating method to build a competitive work system in today's fast-moving marketplace. An agile organization must be able to adapt quickly to take advantage of limited opportunities and rapid shifts as per client demand. Agile manufacturing is gaining favor among manufacturers due to its several benefits, including increased work productivity and good control over the final deliverable. Furthermore, the shorter time to market is expanding the global market for enterprise agile transformation services.
According to Market Watch, with a CAGR of 17.9% from 2019 to 2026, the US enterprise agile transformation services market is predicted to reach $18,189.32 million by 2026.
So why is agile manufacturing gaining traction? What challenges do manufacturers encounter when implementing agile manufacturing, and how have industry leaders like GE, Adobe, and Accenture effectively implemented agile methodology in their organizations and become the best examples of agile manufacturing? In this article, we'll take a closer look at each point.
What Is the Importance of Agile Manufacturing?
The term "agile manufacturing" refers to the use of a variety of different technologies and methodologies in the production process. In order to meet market standards and criteria, organizations must be able to adapt quickly and effectively to their customers' needs by bringing agility to manufacturing. To ensure the quality of products and the cost of production are kept to a minimum, agile manufacturing helps firms to regulate their end product.
Because it immediately addresses the needs and worries of the clients, it is an effective strategy as well. By using this method, firms may better understand the market and use it to their advantage by creating products that meet the needs of their customers.
Challenges While Adopting Agile Methodologies on a Project
When we talk about agile challenges when implementing it on any project, some will be routine and some will be unique. So, let's get a quick grasp on the agile challenges.
Communication about the project: Clear communication between the development team and the product owner is critical throughout the project development life cycle. Any miscommunication can have an impact on the product's quality and the end result of the entire process.
Managing the day-to-day operational challenges: Throughout the project, daily minor or large operations play a significant impact on the overall project output. Any obstacles encountered when working on everyday chores should be resolved immediately to avoid any delays or halts in the process.
To make it function, you'll need experience: Any inexperienced product owners, scrum masters, or individuals new to the agile approach may have a negative impact on the project's expected output.
Various project contributors' buy-in: Inadequate training, a lack of motivation to show up from project participants, keeping customers in the loop, and a lack of departmental management are some of the problems that may hinder the accurate implementation of the agile methodology. The presence of one or more of these obstacles in any business or project may jeopardize the agile methodology and its total output.
Though there are many online training courses and books available on how to integrate agile practices into your project, each organization's scenario is unique, as are the challenges they encounter. As a result, handling the situation with experienced personnel that have a can-do attitude is what is required to make it work.
Following that, we'll look at some manufacturing business agile examples and how they've successfully implemented agile methodology in their organizations.
Agile Manufacturing Examples
We'll look at one of the most well-known industrial examples of agile manufacturing that has successfully implemented the methodology and achieved great outcomes. Take a peek at it.
One of the most popular agile manufacturing examples in performance management revamps is Adobe. When Donna Morris was Senior Vice President of People Resources in 2012, she thought the annual performance evaluation and the stack-ranking process were bureaucratic, paperwork-heavy overly complicated, taking up too many management hours for the company. Aside from this, she discovered that it set barriers to joint efforts, creativity, and development.
The Adobe team ditched annual performance reviews and encouraged managers and employees to regularly discuss performance via a system called “Check-in.” Adobe has reduced voluntary turnover by 30% and increased voluntary departures by 50% since making the transition. Moreover, the company saved 80,000 management hours annually.
General Electric famously overhauled its performance management system in 2015, paving the path for other global firms to follow in the electronics industry. Annual performance evaluations and the infamous rank-and-yank performance rating system (ranking employees and regularly eliminating the bottom 10%) had GE decide they needed to update their performance management system. The annual appraisals lasted a decade longer than the ranking system. They are now a more agile organization.
Instead of directing employees to attain goals, managers now guide and coach them. GE also decided to deploy an app they designed called PD@GE to facilitate regular employee feedback and productive performance discussions.
Using the app, each employee establishes priorities and solicits feedback. They can also give real-time feedback. Employees can request a face-to-face meeting at any time to discuss transparency, honesty, and continuous improvement.
These traits will not arise quickly and will require motivation and commitment for self-growth.
According to Accenture's previous system, employees who perform well tend to be the most narcissists and self-promoters. Accenture wanted to revamp their system and reward genuine employees. So they started using on-going performance conversations while focusing on performance development.
Because it required employees to compete with coworkers who may have had a different position, Accenture decided that forced ranking was illogical. The new system is more centered on the employee and aims to assist them in becoming the best version of themselves.
Agile manufacturing is a way to get the finest results and exceed client expectations on every project. Businesses are benefiting from agile manufacturing because it improves the end product and helps them better utilize their resources. The necessity of agile manufacturing in business is vital, and organizations must overcome the challenges they encounter while applying the agile approach to any of their projects in order to reap the benefits of agile production.
How does agile manufacturing help businesses?
An agile manufacturing process enables organizations to respond to client requests with flexibility when market conditions change, as well as regulate their intended production while preserving product quality and minimizing costs.
What is an agile organization?
Unified alignment, accountability, specialization, transparency, and cooperation are key elements in an agile organization. To guarantee these teams can work efficiently, the organization must maintain a solid environment.
What are the core elements of agility?
Individuals and interactions over processes and tools are the four values of the Agile Methodology. A working program is preferable to in-depth documentation. During contract negotiation, the customer's cooperation is valued.
"name": "How does agile manufacturing help businesses?",
"text": "An agile manufacturing process enables organizations to respond to client requests with flexibility when market conditions change, as well as regulate their intended production while preserving product quality and minimizing costs."
"name": "What is an agile organization?",
"text": "Unified alignment, accountability, specialization, transparency, and cooperation are key elements in an agile organization. To guarantee these teams can work efficiently, the organization must maintain a solid environment."
"name": "What are the core elements of agility?",
"text": "Individuals and interactions over processes and tools are the four values of the Agile Methodology. A working program is preferable to in-depth documentation. During contract negotiation, the customer's cooperation is valued."
Article | December 21, 2021
Consumer demand has shifted dramatically in recent years, and manufacturers are trying to adapt to this shift. To maintain high product quality, minimize costs, and optimize supply chains, manufacturing analyticshas become essential for manufacturers.
Manufacturing analyticsis the process of gathering and analyzing data from various systems, equipment, and IoT devices in real-time to get essential insights.
As technology takes over and enhances many of the processes we used to handle with manual labor, we are freed up to use our minds creatively, which leads to bigger and better leaps in innovation and productivity.
– Matt Mong
Manufacturing analyticscan assist in maintaining production quality, boost performance with high-profit returns, decrease costs, and optimize supply networks.
This article will outline manufacturing analyticsand present a list of possible application cases. It will also highlight the benefits of manufacturing analyticsfor any shop floor or factory.
Manufacturing analytics: An Overview
With manufacturing analytics, we can streamline and speed up the entire process. Data interchange and automation helps in speeding up the production process. Manufacturing analyticsuses predictive manufacturing, big data, Industrial IoT, network virtualization, and machine learningto produce better scalable production solutions.
Manufacturing analyticscollects and analyses data from many sources via sensors embedded in machinery to identify areas for improvement. Data is collected and presented in an easy-to-understand structure to illustrate where difficulties emerge throughout the process.
In short, manufacturing analyticscollects and analyses large volumes of data to reveal insights that might improve performance. Users can also obtain automated business reports to reply in real-time.
Why Manufacturing analytics is Vital for Leading Businesses
There are numerous benefits of manufacturing analyticsthat drive any company’s production and overall manufacturing business growth. The benefits of manufacturing analyticsfall into three distinct categories as below.
It reduces the overall cost: Analytics may save a significant amount of money if used more efficiently. Labor costs are also reduced due to automation and semi-autonomous machinery. Similarly, preventive and prescriptive maintenance programs may save money while enhancing productivity.
It boosts profits for businesses: Manufacturers can respond swiftly to changes in demand using real-time insights in production, inventory management, and demand and supply forecasting. For example, assume the data indicates that they are approaching their maximum capacity. In such instances, they can increase over time, increase capacity, modify procedures, or tweak other production areas to adapt and maintain delivery times.
Other unforeseen benefits: There are several advantages to the increased capabilities enabled by manufacturing analytics. These benefits include lower energy use, safer environmental practices, fewer compliance failures, and more customer satisfaction.
Five Real-world Applications of Manufacturing Analytics
A machine's analytics uses aggregate data from real-time detectors to anticipate when it needs to be replaced or functioning irregularly. This process helps predict machine failure or equipment defects.
Analytics can assist in determining a plant's capacity and how many products are produced by the unit in every production cycle, which is helpful in capacity planning. In addition, analytics may help determine the ideal number of units to create over time by considering capacity, sales predictions, and parallel schedules.
Predictive analytics solutions can automate maintenance requests and readings that shortens the procedure and reduce maintenance expenses.
Product development is an expensive process in manufacturing. As a result, businesses must invest in R&D to develop new product lines, improve existing models, and generate new value-added services.
Earlier, this approach was in place by repeated modeling to get the finest outcome. This approach can now be modeled to a large extent, with the help of data science and technologically superior analytics. Real-world circumstances can be replicated electronically using "digital twins" and other modeling approaches to anticipate performance and decrease R&D expenses.
Many factors that might help in the plan significant capital expenditures or brief breakdowns can be explained using historical data and a few high-impact variable strategies. For example, consider the seasonality of products like ice cream. As a result, historical market data and a few high-impact factors can help explain numerous variables and plan major capital expenditures or short-term shutdowns.
In addition to demand forecasting, predictive analytics incorporates advanced statistical techniques. With predictive analytics, a wide range of parameters, including customer buying behavior, raw material availability, and trade war implications, may be taken into consideration.
Warranty support may be a load for many manufacturers. Warranties are frequently based on a "one-size-fits-all" approach that is broader. This approach introduces uncertainty and unanticipated complications into the equation.
Products may be modified or updated to decrease failure and hence expense by using data science and obtaining information from active warranties in the field. It can also lead to better-informed iterations for new product lines to minimize field complaints.
Managing Supply Chain Risks
Data may be recorded from commodities in transit and sent straight from vendor equipment to the software platform, helping to enable end-to-end visibility in the supply chain.
Manufacturing analyticsallows organizations to manage their supply chains like a "control tower," directing resources to speed up or slow down. They may also order backup supplies and activate secondary suppliers when demand changes.
Businesses should adapt to changing times. Using analytics in manufacturinghas altered the business industry and spared it from possible hazards while boosting production lines. Industry 4.0's route has been carved. Manufacturing analyticsis the key to true Industry 4.0, and without it, the data produced by clever IoT devices is meaningless. The future is data-driven, and success will go to those who are ready to adopt it. The faster adoption, the sooner firms go ahead of the competition.
How can data analytics help manufacturers?
Data analytics tools can help manufacturers analyze machine conditions and efficiency in real-time. It enables manufacturers to do predictive maintenance, something they were previously unable to accomplish.
Why is data so crucial in manufacturing?
Data helps enhance manufacturing quality control. Manufacturers can better understand their company's performance and make changes by collecting data. Data-driven manufacturing helps management to track production and labor time, improve maintenance and quality, and reduce business and safety concerns.
What is Predictive Manufacturing?
Predictive manufacturing uses descriptive analytics and data visualization to offer a real-time perspective of asset health and dependability performance. In addition, it helps factories spot quality issues and takes remedial action quicker by eliminating the waste and the cost associated with it.