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 14, 2021
Do manufacturing businesses require Business Intelligence (BI)? The answer is YES. Manufacturing is one of the most data-intensive businesses, producing massive amounts of data ranging from supply chain management to shop floor scheduling, accounting to shipping and delivery, and more.
All of this information would go to waste if not properly categorized and utilized. Scrutinizing and analyzing your data with business intelligence will help you become a more efficientand productive organization. Your organized data can show you where the gaps or inefficiencies are in your manufacturing process and help you fix it.
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 at Microsoft
BI has the potential to improve the operations of an organization and transform it into an organized one. According to Finances Online research, more than 46% of organizations are already employing a BI tool as a significant part of their company strategy, and according to Dresner Advisory Services research, 8 in 10 manufacturers who use BI for analytics have seen it function successfully.
How Manufacturing Operations Are Improving with Business Intelligence?
As revealed by the BI statistics above, we can see that business intelligence is critical in manufacturing. To further illustrate how business intelligence supports the manufacturing industry, let's look at some of the business intelligence benefits that are making a difference in the manufacturing industry.
Advances Operational Efficacy
While modern enterprises create massive amounts of data, not all of this data is relevant. Today's business intelligence solutions take all of the data from your organization and transform it into an easily comprehensible and actionable format. It enables you to minimize or fix errors in real-time. Additionally, it helps you to forecast raw material demand and assess procedures along the supply chain to ensure maximum efficiency.
Allows for the Analysis and Monitoring of Financial Operations
Business intelligence solutions provide insight into sales, profit, and loss, raw material utilization and can usually assist you in optimizing resources to increase your return on investment. Understanding your cost-benefit analysis, BI enables you to manage production costs, monitor processes, and improve value chain management.
Assists in the Management of Your Supply Chain
Manufacturing companies engage with various carriers, handling these multiple processes can be complicated. BI enables manufacturing companies to have more accurate control over shipments, costs, and carrier performance by providing visibility into deliveries, freight expenditures, and general supplies.
Contributes to the Reduction of Inventory Expenses and Errors
Overstocks and out-of-stocks are substantial barriers to profitability. Business intelligence can assist you in tracking records over time and location while identifying issues such as product faults, inventory turnover, and margins for particular distributors.
Determines the Efficiency of Equipment
Several factors can cause inefficient production. For example, errors with equipment due to improper installation, maintenance, or frequent downtime can reduce production. So, to keep industrial operations running well, one must monitor these factors.
Manufacturers can maintain their machines' health using data analytics and business intelligence. It provides real-time information about your production lines' status and streamlines production procedures.
How Business Intelligence Helped SKF (SvenskaKullagerfabriken) to Efficiently Plan Their Future Manufacturing
SKF is a key supplier of bearings, seals, mechatronics, and lubrication systems globally. The company posses its headquarter in Sweden and has distributors in over 130 countries.
Due to SKF's extensive worldwide reach and product diversity, they constantly need to forecast market size and demand for their products to modify their future manufacturing. Generally, SKF experts developed and kept their forecasts in traditional and intricate excel files. However, the efforts of maintaining and reconciling disparate studies were excessively high. As a result, SKF used require days to generate a simple demand prediction.
Later, SKF integrated its business data assets into a single system by utilizing business intelligence in production. Following that, they could swiftly begin sharing their data and insights across multiple divisions within their firm. They are now able to aggregate demand estimation fast and does not face cross-departmental issues about data integrity for the vast number of product varieties they manufacture.
This intelligent data management enabled SKF to plan their future production operations efficiently.
Business intelligence in manufacturing makes a big difference in the organization's entire operations. Given the benefits of business intelligence in manufacturing, a growing number of manufacturers are implementing it in their operations.
According to Mordor Intelligence, Business Intelligence (BI) Market was worth USD 20.516 billion in 2020 and is anticipated to reach USD 40.50 billion by 2026, growing at a 12% compound annual growth rate throughout the forecast period (2021-2026).
Hence, we may say that the business intelligence is crucial for manufacturing and is booming, thanks to its enormous potential and the numerous benefits it provides to various businesses.
Why is business intelligence so important in manufacturing?
Organization intelligence may assist businesses in making better decisions by presenting current and past data within the context of their business. Analysts can use business intelligence to give performance and competitive benchmarking data to help the firm run more smoothly and efficiently.
What value does BI add to manufacturing?
Business intelligence solutions provide insight into sales, profit, and loss, raw material utilization and can usually assist you in optimizing resources to increase your return on investment. Understanding your cost-benefit analysis enables you to manage production costs, monitor processes, and improve value chain management.
What is business intelligence's key objective?
Business intelligence is helpful to assist corporate leaders, business managers, and other operational employees in making more informed business
Article | December 10, 2021
A new form of robot is entering manufacturing plants all around the globe. Instead of being locked away in their own work cell, collaborative robots work side by side with their human counterparts. Together, they form the manufacturing crew of the future.
Collaborative robots, or cobots, are more flexible, easy to use, and safer than industrial robots. Instead of ending up abandoned in a corner, they are proving to be serious expansions of production capacity leading to better ways of creating superior quality products.
1.1 A New Breed of Bot
Cobots are a new type of automation product with their own ISO standards for safety and usability. For a robot to qualify as a cobot, it has to be used for tasks of a collaborative nature while sharing all or part of its reach space with human operators. So it is not the product alone that classifies it as a cobot.
Industrial robots must be expertly programmed for one specific job along the production line. This requires hard line coding and endless tweaking and testing, which together with other factors make for a sizable upfront investment. Not so with collaborative robots.
Cobots may look similar to traditional robots in some ways, but they are much easier to install and program. This foregoes the need to cooperate with a robotic integration service. Their lightweight and friendly form factor lets manufacturers conveniently relocate them on the shopfloor from one project to another.
This renders the robotics technology perfect for a data-driven, Industry 4.0 work environment. Cobots can side with traditional machinery and additive manufacturing equipment, aided by artificial intelligence and cloud connectivity while embedded in a networked environment rich with smart sensors and mixed reality interfaces.
1.2 A Unique Blend of Benefits
Because it is fairly straightforward to reprogram a cobot to various tasks, they are perfect for high-mix, low-volume work to meet the rising demand for ultra-customized products.
They can also do multiple tasks in unison, such as alternatingly loading a machine and finishing parts from the previous cycle. Here are some other advantages in addition to flexibility:
• Low investment. Cobots typically cost a fraction of the price of an industrial robot, but they offer much lower payload and reach. ROI is typically one to two years.
• Safety. With rounded surfaces, force-limited joints, and advanced vision systems, cobots are exceptionally safe. This reduces the risk of injury due to impact, crushing, and pinching. Driverless transport systems are wheeled mobile robots that immediately halt when their lasers detect the presence of a nearby human being.
• Accuracy. Cobots score well on accuracy with 0.1mm precision or well below that. While they do typically sacrifice speed, dual-mode cobots can be converted to fully-fledged tools of mass production that run at full speed in their own safeguarded space.
• Easy to program. Many brands offer user-friendly programming interfaces from beginner to expert level. This reduces the need for continuous availability of expensive and scarce expertise while giving current employees an incentive to upskill. And because they can be deployed within hours, cobots can be leased for temporary projects.
• Research. Small processing plants, agile start-ups, and schools can invest in cobots to experiment with ways to automate processes before committing to full automation.
1.3 Cobot Activity Repertoire
Cobots are perfect candidates for taking over strenuous, dirty, difficult, or dull jobs previously handled by human workers. This relieves their human co-workers from risk of repetitive strain injury, muscle fatigue, and back problems. They can also increase job satisfaction and ultimately a better retirement.
The cobot’s program of responsibilities includes:
• Production tasks such as lathing, wire EDM, and sheet stamping.
• Welding, brazing, and soldering.
• Precision mounting of components and fasteners, and applying adhesive in various stages of general assembly.
• Part post-finishing such as hole drilling, deburring, edge trimming, deflashing, sanding, and polishing.
• Loading and unloading traditional equipment such as CNC and injection molding machines, and operating it using a control panel to drastically reduce cycle times.
• Post-inspection such as damage detection, electronic circuit board testing, and checking for circularity or planarity tolerances.
• Box-packing, wrapping, and palletizing.
• Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) assist with internal transport and inventory management.
1.4 No-Code Programming
While an industrial robot requires the attention of a high-paid robotics engineer, anyone with basic programming savviness can install and maintain a collaborative unit.
Brands are releasing more and more kits for quick installation and specific use cases. Instead of being all numbers and line-coding, current user interaction is exceptionally people-focused.
At the lowest skill level, lead-through programming lets operators physically guide the cobot’s end-of-arm-tool (EOAT) through the desired motion path, after which it will flawlessly replicate the instructed behaviour.
It is also possible to enter desired waypoints as coordinates. At the highest level, it is of course still possible to have full scripting control.
An intermediate step is visual programming interfaces. These let users create blocks of functionality that they can string together into more advanced action sequences, while entering the appropriate parameters for each function such as gripping strength, screwing tightness, or pressing force.
These UIs come in the form of in-browser or mobile apps.
Based on a 3D-CAD model of the machine and its industrial environment, a digital twin of the cobot can simulate and optimize its operations, for example to prevent collisions.
It also lets operators remotely monitor and adjust the machine while it’s running. All the while, back-end artificial intelligence can do its analyses to find further efficiency improvements.
3D models of the to-be-manufactured product can be imported for edge extraction of complex surfaces. These will then be converted into the cobot’s desired movement trajectories instead of tedious manual programming.
This makes them feasible to implement for highly dexterous tasks like welding curved hydroformed metal parts or sanding and polishing the most intricate of 3D printed geometries.
Interfacing directly with the robot is becoming increasingly human-centered as well. Future cobots will respond to voice interaction as well as touch input, eradicating the screens-and-buttons paradigm of current devices.
Some brands are giving the cobot a face with emotional expressions, hoping to lower the barrier to adoption. The upcoming generation of cobots can even respond to body language, as well as show its intentions by projecting light to where they are about to reach or move next.
1.5 A Human World
Ultimately, the objective of any company is to create value for people. It is not an option to completely remove humans from the shop floor in an attempt to stay at the forefront of innovation.
Attempting to leap to full automation and the utopian “lights-out factory” does not work anyway, as automotive giants such as Ford, Chrysler, GM, and Tesla can testify. A significant portion of human employees will indeed need to give up their roles. On the other hand, improved productivity levels open up space to retain personnel and uplift them to more creative, managerial, analytical, social, or overall more enjoyable jobs.
For certain tasks, humans still need to be kept inside the manufacturing loop. For example:
• Complex assembly routines and handling of flexible components.
• Large vehicle subassemblies contain many variable components and require more hand-eye coordination than one cobot can handle. Humans are needed to make sure everything lands in the right position while the cobot provides assistive muscle power.
• Fashion, footwear, jewellery, art pieces, and other products where creation borders on artistry rather than mechanical assembly require the aesthetic eye of humans. People are also needed to spot aesthetic deficiencies in custom one-offs in order to correspond with customers before finishing the production batch.
• While intelligent automation software can spot bottlenecks in efficiency, humans are required for creative problem solving and context-awareness to make decisions. A spirit of flexibility and innovation is just as important as the accuracy of perfect repetitions.
1.6 Mission: Install a Cobot
Cobots have numerous advantages over industrial solutions or people-only workspaces. They enable faster, more precise, and more sophisticated operations while reducing downtime and maintaining employee satisfaction.
Low-voltage operation and reduced material waste fits with sustainable innovation and corporate social responsibility programs.
Many companies are reporting surges in production capacity and staff generally experience the presence of cobots as favorable. For example, industry leviathans like BMW and Mercedes-Benz are reaching the conclusion that in many parts of the production process implementing a cobot has been the right decision.
Connecting all parts of the production line with full automation solutions is a pipedream. It works only when all steps are perfectly attuned, and in reality this never happens and one misstep can be catastrophic.
Whether to hire a human, a robot, or a co-robot is a complex and ever-more pressing decision. Statistical process control is paramount for large organizations to make unbiased data-driven decisions.
Determine the key performance indicators, then find the most critical bottlenecks and major opportunities for leaps in production efficiency, product quality, or staff unburdening.
Talk to employees for their insights and probe their level of skill and enthusiasm needed for working with their new artificial assistants. Digital transformation should be an exciting shift in the organization and its people, so apply new technological advancements only where it makes sense.
Despite common beliefs about robotization, the cobot is an entirely separate product category that can be a surprisingly plug-and-play solution for simple tasks, with programming apps becoming increasingly intuitive.
A cobot’s flexibility makes it perfect to run early experiments to help companies find its best spot on the factory floor. Its unbelievable precision, consistency, and level of control generally can make a strong first impression on customers.
Not only can cobots increase production capacity while reducing idle time and cycle time to accelerate manufacturing across many vertical markets, but they also enrich the work environment resulting in happier and more involved employees.
For many companies, a cobot can be the next logical step in their digital transformation.
Article | July 28, 2021
Rex Moore Group, Inc. is a Top50 electrical contractor delivering unmatched integrated electrical solutions. As an early adopter of Lean manufacturing principles, Rex Moore has created a company-wide culture of continuous improvement that drives significant value to their clients. The firm contracts and performs both design/build and bid work for all electrical, telecommunications, and integrated systems market segments.
Rex Moore has a full-service maintenance department to cover emergency and routine requirements for all facilities, whether an existing facility or one that has been recently completed by the company. The ability to negotiate and competitively bid various forms of contracts including lump-sum, fixed fee, hourly rate, and cost-plus work as a prime contractor, subcontractor, or joint venture is enhanced with Project Business Automation (PBA) from Adeaca. This solution permits the company to propose work only if they are in a position to be competitive in the marketplace and provide excellent service with fair compensation.
Rex Moore used Adeaca PBA as a construction management software for builders and contractors to integrate and facilitate its business processes in its ERP system. Together with Microsoft Dynamics, PBA integrated processes across the company on a single end-to-end platform. This allowed the company to replace 15 different applications with a single comprehensive system, eliminating the costs and inefficiencies associated with multiple systems and silos of information.