Article | August 5, 2020
With just a click of a button, new implants today can be instantly tested by hundreds of patients at the same time. This is leaps and bounds over traditional methods. Instead of timely and wasteful testing on cadavers, which would only test one device on one specific person’s anatomy, now testing can be done with the help of software to accelerate innovation, improve device performance and prove their benefits. This innovation, known as virtual patients, slashes the time needed to bring a product to the market by reducing the number of design iterations. And yet, it is just one of the tools in-hand to accelerate the research and design process. By increasing anatomical understanding, the medical field is on the path to have safer and more predictable outcomes.
Article | December 16, 2021
Computer-aided manufacturing (CAM) is a technology that revolutionized the manufacturing business. Pierre Bézier, a Renault engineer, produced the world's first real 3D CAD/CAM application, UNISURF CAD. His game-changing program redefined the product design process and profoundly altered the design and manufacturing industries.
So, what is CAM in its most basic definition?
Computer-aided manufacturing (CAM) is the application of computer systems to the planning, control, and administration of manufacturing operations. This is accomplished by using either direct or indirect links between the computer and the manufacturing processes. In a nutshell, CAM provides greater manufacturing efficiency, accuracy, and consistency.
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
In light of the numerous advantages and uses of computer-aided manufacturing, manufacturers have opted to use it extensively. The future of computer-aided manufacturing is brightening due to the rapid and rising adoption of CAM.
According to Allied Market Research, the global computer-aided manufacturing market was worth $2,689 million in 2020 and is expected to reach $5,477 million by 2028, rising at an 8.4% compound annual growth rate between 2021 and 2028.
Despite all this, each new development has benefits and challenges of its own. In this article, we'll discuss the benefits of CAM, the challenges that come with it, and how to deal with them. Let's start with the advantages of computer-aided manufacturing.
Benefits of Computer Aided Manufacturing (CAM)
There are significant benefits of using computer-aided manufacturing (CAM). CAM typically provides the following benefits:
Increased component production speed
Maximizes the utilization of a wide variety of manufacturing equipment
Allows for the rapid and waste-free creation of prototypes
Assists in optimizing NC programs for maximum productivity during machining
Creates performance reports automatically
As part of the manufacturing process, it integrates multiple systems and procedures.
The advancement of CAD and CAM software provides visual representation and integration of modeling and testing applications.
Greater precision and consistency, with similar components and products
Less downtime due to computer-controlled devices
High superiority in following intricate patterns like circuit board tracks
Three Challenges in CAM and Their Solutions
We have focused on the three primary challenges and their solutions that we have observed.
Receiving Incomplete CAD Updates
Receiving insufficient CAD updates is one of the challenges. If, for example, the part update from a CAD engineer does not include the pockets that are required in the assembly, to the CAM engineer.
SOLUTION: A modeler that enables developers of a CAM programs to create intuitive processes for features such as feature extraction and duplication across CAD version updates. A modeler is capable of recognizing and extracting the pocket's architecture and the parameters that define it. Additionally, the CAM application can enable the engineer to reproduce the pocket in a few simple steps by exploiting the modeler's editing features such as scaling, filling, extruding, symmetrical patterning, and removing.
Last Minute Design Updates
The second major challenge is last-minute design changes may impact manufacturers as a result of simulation.
SOLUTION: With 3D software components, you may create applications in which many simulation engineers can work together to make design modifications to the CAD at the same time, with the changes being automatically merged at the end.
Challenging Human-driven CAM Manufacturing
The third major challenge we have included is that CAM engineers must perform manual steps in human-driven CAM programming, which takes time and requires expert CAM software developers. Furthermore, when the structure of the target components grows more complicated, the associated costs and possibility of human failure rise.
SOLUTION: Self-driving CAM is the best solution for this challenge. Machine-driven CAM programming, also known as self-driving CAM, provides an opportunity to improve this approach with a more automated solution. Preparing for CAM is simple with the self-driving CAM approach, and it can be done by untrained operators regardless of part complexity. The technology handles all of the necessary decisions for CAM programming operations automatically. In conclusion, self-driving CAM allows for efficient fabrication of bespoke parts, which can provide substantial value and potential for job shops and machine tool builders.
Computer Aided Manufacturing Examples
CAM is widely utilized in various sectors and has emerged as a dominant technology in the manufacturing and design industries. Here are two examples of sectors where CAM is employed efficiently and drives solutions to many challenges in the specific business.
Virtual 3D prototype systems, such as Modaris 3D fit and Marvellous Designer, are already used by designers and manufacturers to visualize 2D blueprints into 3D virtual prototyping. Many other programs, such as Accumark V-stitcher and Optitex 3D runway, show the user a 3D simulation to show how a garment fits and how the cloth drapes to educate the customer better.
Aerospace and Astronomy
The James Webb Space Telescope's 18 hexagonal beryllium segments require the utmost level of precision, and CAM is providing it. Its primary mirror is 1.3 meters wide and 250 kilograms heavy, but machining and etching will reduce the weight by 92% to just 21 kilograms.
What is the best software for CAM?
Mastercam has been the most extensively utilized CAM software for 26 years in a row, according to CIMdata, an independent NC research business.
How CAD-CAM helps manufacturers?
Customers can send CAD files to manufacturers via CAD-CAM software. They can then build up the machining tool path and run simulations to calculate the machining cycle times.
What is the difference between CAD and CAM?
Computer-aided design (CAD) is the process of developing a design (drafting). CAM is the use of computers and software to guide machines to build something, usually a mass-produced part.
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.
Article | May 2, 2022
Manufacturing marketing through digital media may be the most successful method of establishing your company's online presence. However, simply setting marketing plans and hoping to gain returns is insufficient. You must strategically optimize your marketing approach to generate a return on investment (ROI) that supports the growth of your organization.
But, how can you determine your ROI? How can you make it better? Read on to get all the questions answered in this article.
ROI Calculation for Manufacturing Marketing
Before improving your manufacturing marketing ROI, you must first determine your present marketing ROI.
Here's a simple formula for calculating your manufacturing digital marketing ROI:
However, if you operate a manufacturing business, you might have to use a more complex calculation to get a more realistic picture of your ROI. To be more precise, use the following formula:
What does this mean in practice? Let's take a look at it in details:
Number of Leads: This is the number of people who become leads for your business. A lead is anyone who subscribes to your emails, contacts your business (but does not convert), or interacts with an advertisement.
Lead to Customer Rate: Your lead to customer conversion rate indicates how many individuals converted from a lead to a client for your business. For instance, if 40% of your leads convert to clients, your customer conversion rate is 40%, or 0.4.
Average Sale Price: This figure is the average revenue generated by a new client – it represents the amount a client spends to hire your manufacturing company. Because projects vary in complexity, your average will provide the most accurate indicator of your ROI.
Marketing Costs: These are the expenses associated with marketing your firm. It encompasses everything like the tactics you invest into the salaries of the individuals who work on your campaigns.
How to Optimize Your Manufacturing Marketing ROI
If you want to increase the return on investment from manufacturing marketing, begin by developing key performance indicators (KPIs) or marketing ROI metrics. Organizations frequently overlook the importance of initiating marketing programs without any clear indicators of their performance.
Without KPIs, it's difficult to determine whether your marketing activities are effective and generating the desired ROI for your manufacturing company. Not to mention, if you use improper KPIs, such as vanity metrics, you may believe your ads are generating a positive return on investment when in reality they are not.
To assist you in increasing your manufacturing marketing ROI, start by defining the key performance indicators (KPIs) that are most important to your business. Several key performance indicators (KPIs) that you can track with your campaigns include the following:
Website Time Spent
Revenues in Total
Rate of Conversion
Cost per lead
Mentions in Media
These measures can help you understand your ROI, allowing you to make more informed decisions about how to increase it.
Another technique to boost manufacturing marketing's return on investment is through the use of marketing automation. While spending money to boost your ROI may seem counterproductive, the savings in marketing costs far outweigh the cost of marketing automation tools.
This software enables you to automate time-consuming operations. Rather than wasting time and money on these duties, you can devote your efforts to other important areas of your marketing.
Marketing automation platforms available on the market can assist you in managing time-consuming chores. From welcome letters to lead data collection, you can automate operations to help your business save time, which translates into money saved.
The ROI of your manufacturing marketing strategy can be increased by reducing the amount of money spent on marketing chores.
Track Your Campaigns' Performance
To boost your manufacturing company's digital marketing ROI, you should begin measuring your campaigns. Monitoring your marketing activities tells you whether they effectively generate leads for your manufacturing business.
Google Analytics is an excellent tool for tracking campaign results. Certain marketing platforms, such as Facebook, may include analytics. Additionally, your marketing automation software may assist with duties such as lead tracking to determine which campaigns are most successful.
There are numerous marketing automation solutions available that assist you in tracking leads and phone calls for your organization. Additionally, you may track the return on investment (ROI) of your marketing activities using such tools.
Several platforms also assist in determining which techniques are effective for your organization and which ones should be improved. It enables you to rethink and enhance ineffective techniques, allowing you to direct your marketing dollars toward
more productive strategies.
Increased effectiveness results in increased performance and results, which raises the manufacturing marketing ROI.
Create Lucrative Buyer Personas
Buyer personas enable marketers to effectively appeal to their target audience by allowing them to customize the messaging they provide. An email marketing campaign that is focused and tailored to specific consumer bases, rather than your entire customer database, is an excellent illustration of this. Buyer personas are also extremely effective at identifying a prospective customer who is at a specific stage of the buyer's journey.
Successful buyer personas are developed through a combination of in-depth research and targeted surveys and interviews with a diverse group of customers, prospects, and other stakeholders who align with your target demographic.
Some of the best ways to build a buyer persona are:
Create forms with particular fields
Discuss sales leads with your team
Interview clients and prospects
Businesses today must focus on their digital efforts to keep up with digitization and the importance of online presence. Manufacturers are willing to invest in campaigns to make their digital presence worthwhile, but measuring the return on investment is just as critical when investing in such digital activities. The factors discussed in this article may assist you in increasing your manufacturing marketing ROI this year and achieve your business objectives. We encourage you to keep up with the latest marketing trends to maximize your manufacturing marketing ROI.
What is acceptable marketing ROI?
Marketing ROI is commonly measured as a 5:1 ratio, with exceptional ROI around a 10:1 ratio. Anything less than a 2:1 ratio is considered unprofitable due to production and distribution costs.
Why is manufacturing marketing important?
Content marketing is critical for manufacturers to establish themselves as thought leaders in their industries, situations, or technologies.
How is marketing used in manufacturing?
Facebook, Instagram, LinkedIn, and YouTube are excellent marketing tools for manufacturers. The idea is to contact your audience where they are, which is now on social media. B2B social media is an excellent way to connect with clients.