Article | October 8, 2021
The trends in the manufacturing industry for 2022 are expanding and altering the industry's conventional face. The future of manufacturing is going to merge with digitalization and technological applications. As a result, all operation methods, products, and manufacturing outcomes will be modernized with new technology applications.
To brighten the future of manufacturing, manufacturing companies must examine new trends in the industry before developing their manufacturing plans for 2022. Technological advancements are the next game-changer in the manufacturing business.
Adeaca's Vice President of Market Innovation and Project Business Evangelist had recently quoted in an interview with Media7 as,
“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, VP Market Innovation and Project Business Evangelist at Adeaca
The new trends in manufacturing are leveling up every part and element of the industry. In this article, we'll look at a new trend for each industry aspect that's assisting manufacturers in speeding up the production process, increasing ROI, and propelling their manufacturing business to new heights.
Additionally, it will assist you in addressing current industry challenges such as forecasting product demand, addressing skilled manpower shortages, and increasing manufacturing plant efficiency.
Five Manufacturing Industry Trends to Watch in 2022
Emerging trends in manufacturing provide a chance to review your production strategy for products and processes. Check out below the upcoming trends in manufacturing that are getting attention in the industry.
Customer Engagement and Purchase Experience
Creating an exceptional digital customer experience is a new trend in manufacturing. According to industry experts, mapping the customer journey and their interactions with your products is the first step towards establishing a positive connection with your potential consumers.
A few of the most popular strategies to improve the consumer purchasing experience and engagement are as follows:
Build a knowledge base for your products on your business website
Create a comprehensive FAQs page that addresses all of the buyer's possible queries
Create a chatbot to provide immediate help to the buyer with further inquiries
Create a brand story and a comprehensive description of your manufacturing business
If possible, provide product statistics and success stories, and content about consumer satisfaction with your product
Create a product functionality video or explanatory picture material to familiarize the potential customer with your product
These are some of the trends that engage your prospective buyers and increase their purchasing experience through a range of product-related information and educate them about you and your products.
Smart Technology-enabled Products
Smart is the new norm in every industry. The old operations and goods that were once a part of everyone's life have now been replaced by technology. Manufacturing is no exception to this alteration. Due to the increasing demand for smart products among customers, every company is now looking forward to inventing and manufacturing smart products.
Explore and understand how you may incorporate cutting-edge technology (Artificial Intelligence, Machine Learning, Edge Computing, and Digital Twins, and more) into your products to help them stay updated with manufacturing trends.
Virtual and Augmented Reality in Manufacturing (Industry 4.0)
Transforming traditional manufacturing systems and processes into smart, tech-savvy ones is a new trend in manufacturing. The future of manufacturing is expected to witness this digitization in 2022 and beyond. Therefore, you must convert your conventional manufacturing plants into smart ones, i.e., as per the concept of Industry 4.0 – the fourth industrial revolution.
Discover how prominent companies are implementing Industry 4.0
The following are some popular transformations that many popular manufacturing factories are adopting to become part of the industry revolution.
To achieve a zero-carbon footprint, manufacturers may use analytics systems to determine the amount of trash they create and develop ways to eliminate it. (Implemented by Whirlpool)
Utilize an analytics platform to decipher usage data for energy, water, and other utilities. (Implemented by Whirlpool)
Utilize technology such as Siemens' Mindsphere, which enables online analysis of several aspects of a production plant and helps manufacturers create digital models using real-time data. (Implemented by Siemens)
Utilize a combination of IoT and cloud-based technologies to avoid downtime and gather analytics data. (Implemented by Hirotec – a Japan based manufacturing company)
Machine learning technology can be used to foretell and avoid system failures in your manufacturing plant. (Implemented by Hirotec – a Japan based manufacturing company)
Utilize robotics and to accelerate manufacturing across many verticals. (Implemented by Ford)
Utilize 3D printing to improve the precision of product design and to avert product defects during the early production stage. (Implemented by Aerospace: Airbus) These are some examples that other well-known manufacturing companies in the market, such as Hewlett-Packard, Ford, Whirlpool, and Siemens are currently using. So, consult an expert and determine how to leverage emerging technology to turn your production plant into a smart manufacturing unit.
Internet of Things (IoT) to Boost Revenue
Manufacturing companies have begun to leverage the Internet of Things to establish connectivity between machines and operational procedures throughout manufacturing. This linkage between machine and operation significantly decreases the human supervision required for each step and completely automates them.
Manufacturers intend to incorporate these IoT trends in manufacturing into both their products and operational processes. IoT further enables manufacturers to operate and monitor their work remotely. As a result, they can concentrate on developing new strategies and preparing for future ventures.
Shifting Focus from B2B to B2C Model
Several manufacturers skip intermediaries and connect directly with their consumers to sell efficiently to their target consumer group. This purposeful approach has multiple benefits, which are outlined below.
Manufacturers may skip the lengthy retail sales cycle and achieve a shorter time to market
The absence of a third party between the manufacturer and the customer reduces the risk of brand misinterpretation or dilution
Direct interaction with customers enables manufacturers to obtain more accurate consumer data, product feedback, and requirements for new product development
Manufacturers can control the price of their products due to the absence of a third party between them and the target consumer group
These benefits of the B2C model attract manufacturers and encourage them to develop added production techniques with these benefits in mind.
Technology, innovation, and digitization are the future of manufacturing. The IoT trends in manufacturing are essential for industrial production and will allow the manufacturing industry to obtain a new competitive edge. Hence, manufacturers must keep in mind this industry revolution (industry 4.0 and 5.0) while developing strategies for their manufacturing operations in 2022.
What are the benefits of adopting the Internet of Things in manufacturing?
IoT devices can monitor industrial operations, manufacturing cycles, and other warehouse data management processes automatically. This benefit decreases the amount of time spent monitoring individual operations and increases production speed.
What role will smart manufacturing play in the future?
According to a grand view research analysis, the smart manufacturing market was worth USD 236.12 billion in 2020 and is expected to extend at a 12.4 percent compound annual growth rate to reach USD 589.98 billion by 2028.
What are the critical components of the smart factory of the future?
Robotics, the Internet of Things, big data, and cloud-based administration will be critical components of the future smart factory.
Article | July 27, 2021
Filmmaking is manufacturing. To date, no one has made the direct correlation between the two. As many entertainment professionals know, the budget gap between indie productions and big studio blockbusters continues to grow. The day of mid-budget, independent (indie) movies is disappearing as fast as the middle class in the American economy. According to newbiefilmschool, the average budget is barely at $2 million for these pictures and producers have been forced to adapt by discovering creative ways to decrease costs, while maintaining a high production values for a sophisticated audience with high expectations.
Though there are many ways to cut costs, any business professional will agree to go with the options that bring down the budget the most. Just as dog is man’s best friend, here are three reasons why manufacturers have become the same for a filmmaker by saving money and time for every type of production.
Film equipment manufacturers
No long may a film lack quality in picture, sound, and bad acting. Once acceptable, these older movies were produced with the technology and film equipment constraints and from limited funding. Film equipment manufacturers from cameras, sound equipment, and computers cost less to achieve high production values. Film equipment companies face increasing competition, which has driven down the purchase price. Better equipment with significant technology improvements has reframed the indie film industry with high-level sound and image capture quality.
The transition of cameras from film to digital was a notable shift for manufacturers. Many industry-insiders believe that digital is free, and film is expensive, but there is more the manufacturing construct. Digital cameras, when compared to film cameras in the same market price bracket, are much more expensive than analog counterparts. It is true that film costs money and is single-use. Digital memory cards are relatively expensive and can be reused. Film also needs to be developed and there is a cost associated with that production cost. There are other ways in which digital modalities save filmmakers.
Across all industries, efficiency always wins. Innovative manufacturers have developed machines to make numerous jobs easier for everyone. Machines have been assisting filmmakers since the invention of the camera. AI (artificial intelligence) is poised to change film even more and continues to augment human creativity. Storytellers work with computers during every process of creating a motion picture which has sped up the time it takes to complete each-step in film making.
Automating pre-production processes, such as creating a budget and writing a script, is analogous to an ERP (enterprise resource planning) software for a traditional manufacturing operation. The Movie Magic budgeting software by Entertainment Partners has made creating a budget more efficient and accurate. Screenwriter programs vary from the downloadable Final Draft, and the purely cloud based, Celtx, are the reasons automated scriptwriting is the norm. These programs also automatically format writing to industry standards, facilitating the creative process.
Automation in post-production is equally advanced through editing software for video, sound, effects, and colors all the way to distribution and promotional content. Editing footage from digital rather than film saves time and money. Industry favorites include Adobe Premiere Pro and Apple’s exclusive Final Cut Pro and are used on almost all well-known movies and TV shows.
The impacts of COVID-19 on entertainment manufacturers
Without question, the pandemic has affected every industry by creating an unanticipated production standstill. Entertainment manufacturers have sacrificed countless productions, lost billions of dollars, and major talent agencies have furloughed hundreds of employees. This negative impact is not just difficult for indie filmmakers, big studios are suffering just as much with production delays and cancellations still happening as this article goes to press.
Any way back to the set is better than no set at all. A new necessity for productions to safely reopen includes epidemiologists and other public health specialists; they provide detailed strategies dealing with large crews who work in cramped spaces, makeup artists who get face-to-face with actors who kiss, hug, and fight on set. These COVID-19 consultants rely on the manufacturing industry for PPE supplies and carry out regular PCR tests. Face coverings and hand sanitizing stations have also become the norm, just like most other manufacturing operations.
Article | June 28, 2021
Manufacturing journalist Thomas R. Cutler visited the remarkable and magnificent country of Uganda.
Foreign investment is coming into the country and that is a good thing; it is not however, enough. To tap into this workforce corporate citizenship and contribution is essential. Just as I underestimated the stamina needed to climb the mountain to experience the gorillas, the role of transforming Uganda requires a careful, well-thought approach.
Article | October 20, 2021
Machine vision is becoming increasingly prevalent in manufacturing daily across industries. The machine vision manufacturing practice provides image-based automated inspection and analysis for various applications, including automatic inspection, process control, and robot guiding, often found in the manufacturing business.
This breakthrough in manufacturing technology enables producers to be more innovative and productive to meet customer expectations and deliver the best products on the market.
A renowned industry leader Mr. Matt Mongonce conveyed in an interview with Media7,
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, VP Market Innovation and Project Business Evangelist at Adeaca.
Why is Machine Vision so Critical?
The machine vision manufacturing process is entirely automated, with no human intervention on the shop floor. Thus, in a manufacturing process, machine vision adds significant safety and operational benefits. Additionally, it eliminates human contamination in production operations where cleanliness is critical.
For instance, the healthcare business cannot afford human contamination in some circumstances to ensure the safety of medicines. Second, the chemical business is prohibited from allowing individuals to come into touch with chemicals for the sake of worker safety. Thus, machine vision is vital in these instances, so it is critical to integrate machine vision systems into your production process.
Machine Vision Application Examples
To better understand how businesses are utilizing machine vision in production, we will look at five cases.
Even a few seconds of production line downtime might result in a significant financial loss in the manufacturing industry. Machine vision systems are used in industrial processes to assist manufacturers in predicting flaws or problems in the production line before the system failure. This machine vision capability enables manufacturing processes to avoid breakdowns or failures in the middle of the manufacturing process.
How is FANUC America Corporation Avoiding the Production Line Downtime with ROBOGUIDE and ZDT?
FANUC is a United States-based firm that is a market leader in robotics and ROBOMACHINE technology, with over 25 million units deployed worldwide. In addition, the company's professionals have created two products that are pretty popular in the manufacturing industry: ROBOGUIDE and ZDT (Zero Down Time).
These two standout products assist manufacturers in developing, monitoring, and managing production line automation. As a result, producers can enhance production, improve quality, and maximize profitability while remaining competitive.
Inspection of Packages
To ensure the greatest possible quality of products for their target consumer groups, manufacturers must have a method in place that enables them to inspect each corner of their product. Machine vision improves the manufacturing process and inspects each product in detail using an automated procedure.
This technology has been used in many industries, including healthcare, automation, and electronics. Manufacturers can detect faults, cracks, or any other defect in the product that is not visible to the naked eye using machine vision systems. The machine vision system detects these faults in the products and transmits the information to the computer, notifying the appropriate person during the manufacturing process.
Assembly of Products and Components
The application of machine vision to industrial processes involves component assembly to create a complete product from a collection of small components. Automation, electronics manufacturing, healthcare (medicine and medical equipment manufacturing), and others are the industries that utilize the machine vision system in their manufacturing process. Additionally, the machine vision system aids worker safety during the manufacturing process by enhancing existing safety procedures.
Manufacturers are constantly endeavoring to release products that are devoid of flaws or difficulties. However, manually verifying each product is no longer practicable for anybody involved in the manufacturing process, as production counts have risen dramatically in every manufacturing organization. This is where machine vision systems come into play, performing accurate quality inspections and assisting producers in delivering defect-free items to their target clients.
Earlier in the PCB penalization process, where numerous identical PCBs were made on a single panel, barcodes were used to separate or identify the PCBs manually by humans. This was a time-consuming and error-prone process for the electronics manufacturing industry. This task is subsequently taken over by a machine vision system, in which each circuit is segregated and uniquely identified using a robotics machine or a machine vision system. The high-tech machine vision system "Panel Scan" is one example of a machine vision system that simplifies the PCB tracing procedure.
The use of machine vision in the manufacturing business enables firms to develop more accurate and complete manufacturing processes capable of producing flawless products. Incorporating machine vision into manufacturing becomes a component of advanced manufacturing, which is projected to be the future of manufacturing in 2022. Maintain current production trends and increase your business revenue by offering the highest-quality items using a machine vision system.
What is the difference between computer vision and machine vision?
Traditionally, computer vision has been used to automate image processing, but machine vision is applied to real-world interfaces such as a factory line.
Where does machine vision come into play?
Machine vision is critical in the quality control of any product or manufacturing process. It detects flaws, cracks, or any blemishes in a physical product. Additionally, it can verify the precision and accuracy of any component or part throughout product assembly.
What are the fundamental components of a machine vision system?
A machine vision system's primary components are lighting, a lens, an image sensor, vision processing, and communications.
"name": "What is the difference between computer vision and machine vision?",
"text": "Traditionally, computer vision has been used to automate image processing, but machine vision is applied to real-world interfaces such as a factory line."
"name": "Where does machine vision come into play?",
"text": "Machine vision is critical in the quality control of any product or manufacturing process. It detects flaws, cracks, or any blemishes in a physical product. Additionally, it can verify the precision and accuracy of any component or part throughout product assembly."
"name": "What are the fundamental components of a machine vision system?",
"text": "A machine vision system's primary components are lighting, a lens, an image sensor, vision processing, and communications."