Article | December 10, 2021
The benefits of contract manufacturing are triggering manufacturers to utilize it as a strategy to speed up production and increase revenue. According to BCC Research, the worldwide contract manufacturing industry should increase from $2.0 trillion in 2018 to $2.7 trillion in 2023, a 6.7% CAGR.
Given the growing demand, contract manufacturing has a long way to go in innovating new solutions for manufacturers.
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
Let us look at the benefits and concept of contract manufacturing, often known as manufacturing partners in some circles.
Contract Manufacturing: Concept and Benefits
Contract manufacturing is a business model in which a company agreeswith a contract manufacturer to make components or finished goods based on the hiring company's design. In short, it is a business model in which one company hires another company to manufacture components or goods for them or their products.
The following are some of the primary advantages of contract manufacturing that attract manufacturers to adopt this concept and find a trusted supplier to manufacture any product or part of their product without much difficulty.
Cost Efficiency: In contract manufacturing, companies do not have to pay for the facility, equipment, or labor needed.
Resource Allocations: The money and resources saved through contract manufacturing can be redirected towards other company operations.
Faster Lead Times: Hiring a contract manufacturer reduces manufacturing time. This improves market speed, delivery time, and customer service.
Quality Control: Contract manufacturers are likely to have their own quality control processes in place, which allow them to spot counterfeit or damaged products early on.
Advanced Skill Sets: Companies can benefit from the skills they may not possess, but the contract manufacturer does.
Contract Manufacturing Examples
Here are some examples of contract manufacturing companies that offer manufacturing services to other businesses and work on full-service outside manufacturing projects.
Example 1: Kimball Electronics Group
Kimball Electronics Group provides a comprehensive range of electronics manufacturing services, including engineering, prototyping, testing, electronic data interchange (EDI), new product introduction, and repair depot services. Soldering, assembly, reflow, de-paneling, flux application, inspection, screen printing, testing, and rework are all processes used in their manufacturing.
Example 2: Scapa Healthcare
Scapa Healthcare, headquartered in Knoxville, Tennessee, provides contract manufacturing services for medical and cosmetic products. Their portfolio of products includes sunscreen, silicone medical adhesives, and innovative materials. Additionally, the organization provides development, packaging, and logistics services.
Things to Consider While Selecting a Contract Manufacturing (CM) Partner
You need to know how to identify the ideal contract manufacturer for your business to accelerate production and produce high-quality items. Below, we've listed some of the most important things to keep in mind while looking for an outsourced manufacturing partner for your company.
Understanding a contract manufacturer's (CM) capabilities in terms of logistics and fulfillment is critical. Is your potential CM able to meet shifting product demands? How to use the CM's services? You may need one or more services from CM for your product, so always examine their capabilities or develop a list of their services and see which ones are valuable for you.
Knowledge or Prerequisite
A qualified, experienced, subject matter expert CM always correctly understands the requirements and delivers the services as per expectations and within the time frame specified in your production schedule. Always inquire about their qualifications or certificates in the places where your product will be manufactured.
Any contract manufacturing plan must have an agreement or compliance clause. Always inquire about the compliance procedure and thoroughly understand the terms and claws to avoid future issues.
Verify your possible contract manufacturer's personnel count. Is it easy to talk to them? Is labor skilled enough to meet the product's goals? It is critical for large-scale production and production, requiring swift responses. Any work force shortage might cause production delays.
Gear & Expertise
Check for machines and equipment as well as human labor in your possible CM. Many CM lease equipment to complete a project. So always check how the CM will organize the essential equipment for your project. Expertise in using the equipment is also necessary. Verify which machines were used and whether or not professionals were involved.
The CM's location is the main factor to check. Because the CM may have numerous plants, knowing which plant is assigned to your product is essential to knowing every aspect of its production. Also, the assembly location must allow you to visit and inspect the manufacturing between cycles.
Finding a reliable contract manufacturer with solid financial backing and market roots is essential to avoid market scams. However, you must also analyze and solve risk factors like equipment failure, supplier capacity, and unreasonable expectations.
Selection Myths of Contract Manufacturing Partner
Once you've produced a list of shortlisted contract manufacturing partners who meet all of the criteria described in the preceding heading, you can proceed by following the steps below to select the best contract manufacturing partner.
Look for Who is Willing to Invest in Your Business
Incorrect. The objective is to find a vendor prepared to manufacture at a loss. A contract manufacturer's strength is that they can stay competitive and make a profit for both parties.
Focus on Tier 1 CM Partners from the Market
This one is indeed not acceptable. Tier 1 is a financial phrase used to separate large corporations from smaller ones. You want a contract manufacturer who understands your business and your needs. Don't worry about the manufacturing partner's size.
Go Ahead with the One Who Offers the Best Services at the Lowest Price
Trying to get the cheapest quote isn't always the best idea. You should get a quote from your contract manufacturing partner, but the quote may not always reveal the complete story. Cost per unit frequently captures approximately 75% of total supply chain cost. Some contract manufacturers charge the OEM the remaining 25%. Consider the complete picture while selecting a CM partner.
Manufacturers use contract manufacturing to meet their commercial goals. Therefore, contract manufacturing is a win-win situation for both industrialists and contract manufacturers. Finding the proper contract manufacturing partner for your company is not straightforward, but our brief guide can help you identify the right manufacturing partner.
What makes a good contract manufacturer?
The most significant contract manufacturing firms are more than just supply chain partners. They recognize and treat your items as if they were their own, are meticulous in their operations, and are concerned with quality and capital.
What differentiates contract manufacturing from outsourcing?
A contract is a legally binding arrangement. It involves two or more parties. For example, outsourcing is outsourcing some tasks to an outside organization under a contract agreed upon by both parties.
What's the difference between contract manufacturing and licensing?
Contract manufacturing only outsources production phases, while licensing is far more complex. In return for fees, a corporation sells the right to utilize its intellectual property to another company. Licenses are like franchises.
"name": "What makes a good contract manufacturer?",
"text": "The most significant contract manufacturing firms are more than just supply chain partners. They recognize and treat your items as if they were their own, are meticulous in their operations, and are concerned with quality and capital."
"name": "What differentiates contract manufacturing from outsourcing?",
"text": "A contract is a legally binding arrangement. It involves two or more parties. For example, outsourcing is outsourcing some tasks to an outside organization under a contract agreed upon by both parties."
"name": "What's the difference between contract manufacturing and licensing?",
"text": "Contract manufacturing only outsources production phases, while licensing is far more complex. In return for fees, a corporation sells the right to utilize its intellectual property to another company. Licenses are like franchises."
Article | January 12, 2022
Real-time manufacturing analytics enables the manufacturing base to increase its efficiency and overall productivity in a variety of ways. Production data is an effective means of determining the factory's efficiency and identifying areas where it might be more productive.
“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”
– Geoffrey Moore, an American Management Consultant and Author
Creating a product-specific data collection may assist you in determining and visualizing what needs to be improved and what is doing well. In this article, we'll look at why manufacturing data collection is vital for your organization and how it may help you improve your operations.
Why is Manufacturing Data Collection so Critical?
Visibility is the key benefit that every manufacturer gets from manufacturing data collection. By collecting real-time data, or what we refer to as "shop floor data," manufacturers better understand how to assess, comprehend, and improve their plant operations. Manufacturers can make informed decisions based on detailed shop floor data. This is why having precise, real-time production data is critical.
“According to Allied Market Research, the worldwide manufacturing analytics market was worth $5,950 million in 2018 and is expected to reach $28,443.7 million by 2026, rising at a 16.5% compound annual growth rate between 2019 and 2026.”
For modern manufacturers, the advantages of data collection in manufacturing are numerous. The manufacturing industry benefits from production data and data-driven strategy in the following ways.
Substantial reduction in downtime by identifying and addressing the root causes of downtime.
It increases manufacturing efficiency and productivity by minimizing production bottlenecks.
A more robust maintenance routine that is based on real-time alerts and machine circumstances.
Improvements in demand forecasting, supplier scoring, waste reduction, and warehouse optimization reduce supply chain costs.
Higher-quality goods that are more in line with customers' wishes and demands depending on how they are utilized in the current world.
So, after looking at some of the significant benefits of real-time manufacturing analytics, let’s see what type of data is collected from production data tracking.
What Sorts of Data May Be Collected for Production Tracking?
Downtime: Operators can record or track downtime for jams, cleaning, minor slowdowns, and stoppages, among other causes, with production tracking software. In the latter scenario, downtime accuracy is optimized by removing rounding, human error, and forgotten downtime occurrences. The software also lets you categorize different types of stops.
Changeovers: Changeovers can also be manually recorded. However, changeovers tracked by monitoring software provide valuable data points for analysis, considerably reducing the time required for new configurations.
Maintenance Failures: Similar to downtime classification, the program assists in tracking the types of maintenance breakdowns and service orders and their possible causes. This may result in cost savings and enable businesses to implement predictive or prescriptive maintenance strategies based on reliable real-time data.
Items of Good Quality: This is a fundamental component of production management. Companies can't fulfill requests for delivery on schedule unless they know what's created first quality. Real-time data collection guarantees that these numbers are accurate and orders are filled efficiently.
Scrap: For manufacturers, waste is a significant challenge. However, conventional techniques are prone to overlooking scrap parts or documenting them wrong. The production tracking system can record the number and type of errors, allowing for analysis and improvement. Additionally, it can capture rework, rework time, and associated activities.
WIP Inventory: Accurate inventory management is critical in production, yet a significant quantity of material may become "invisible" once it is distributed to the floor. Collecting data on the movement and state of work in progress is critical for determining overall efficiency.
Production Schedule: Accurate data collection is essential to managing manufacturing orders and assessing operational progress. Customers' requests may not be fulfilled within the specified lead time if out of stock. Shop floor data gathering provides accurate production histories and helps managers fulfill delivery deadlines.
Which Real-time Data Collection Techniques Do Manufacturers Employ?
Manufacturers frequently employ a wide range of data collection techniques due to the abundance of data sources. Manual data collection and automated data collection are two of the most common data collection methods. Here are a few examples from both methods:
IoT: To provide the appropriate information to the right people at the right time with the correct shop floor insight, IoT (Internet of Things) sensor integration is employed.
PLC: The integration of PLC (Programmable Logic Controller) is used to measure and regulate manufacturing operations.
HMI: It can provide human context to data by integrating line HMI (Human Machine Interface) systems (such as individual shop terminals like touch screens located on factory floor equipment).
SCADA: Overarching management of activities with SCADA (Supervisory Control and Data Acquisition) systems.
CNC and Other Machines: Integrating CNC and other machines (both new and older types) to keep tabs on production efficiency and machine well-being is a must these days.
One of the most challenging aspects of shop floor management is determining what to measure and what to overlook. The National Institute of Standards and Technology recently conducted a study on assisting manufacturing operations in determining which data to collect from the shop floor.Additionally, you may utilize the manufacturing data set described above to obtain information from your manufacturing facility and use it strategically to improve operations, productivity, efficiency, and total business revenue in the long term.
What is manufacturing analytics?
Manufacturing analytics uses operations and event data and technology in the manufacturing business to assure quality, improve performance and yield, lower costs, and optimize supply chains.
How is data collected in manufacturing?
Data collection from a manufacturing process can be done through manual methods, paperwork, or a production/process management software system.
Article | November 20, 2021
Modern manufacturing methods are pioneering and adopting manufacturing industry advancements. To remain competitive in the present era and provide the most excellent industry solutions to your organization and target customer group in 2022, you must employ new manufacturing technologies in your manufacturing processes.
Additionally, embracing current technologies is the ideal approach to tackle the industry's current challenges such as workplace safety, digitalization of operations, and a lack of skilled workers.
This article will discuss some of the leading manufacturing technologies that transform traditional manufacturing facilities into smart manufacturing factories. So, let us begin.
Manufacturing Technology & Innovations for 2022
To better understand industry 4.0, let's look at some of the manufacturing technologies that will dominate the manufacturing industry in 2022.
Numerous industries, including aerospace, healthcare, electronics, and architecture, utilize 3D printing in manufacturing. It is the most widely used technology across industries and will remain so in 2022 and in the years to come.
We may also anticipate more advancements in this technology to help overcome current barriers to 3D printing adoption, including equipment costs, material constraints, lengthier manufacturing times, a lack of knowledge, and legal issues.
Additionally, it would assist manufacturers in overcoming current manufacturing challenges such as increasing product demand, increasing automation, and locating and retaining the workforce in manufacturing plants. It is vital to incorporate 3D technology into production processes to achieve greater precision and accuracy in manufacturing.
The Internet of Things is a critical component of the industry 4.0 revolution. It has altered the environment of data collection and analysis across sectors. For example, the Internet of Things is assisting manufacturers in better understanding manufacturing and supply chain operations, forecasting product demand, and boosting customer experiences.
Implementing IoT in your manufacturing plant will also help you avoid production delays and increase the performance of your production lines. Additionally, it will decrease equipment downtime and improve process efficiency. It also enhances worker safety and enables more effective labor management.
To begin implementing IoT in your manufacturing plant, you must first examine your manufacturing processes and research how other organizations have implemented IoT in their manufacturing processes or products. This method will assist you in determining the optimal location to begin integrating the IoT in your manufacturing plants and transforming them into smart ones.
“Once you start to look at yourself in the right way and realize that projects are at the core of your business, it is easy to see how you should use technology to support your business.”
– Matt Mong, VP of Market Innovation and Project Business Evangelist at Adeaca.
GD & T
The model created in the CAD program for any product is not exactly replicated with the exact dimensions during the production procedures. Thus, manufacturers or engineers utilize GD&T (Geometric Dimension &Tolerancing) to manage and communicate the permissible variation within a product assembly to manufacturing partners and inspectors.
GD&T is a programming language that enables developers and inspectors to optimize functionality without incurring additional costs. The primary advantage of GD&T is that it expresses the design intent rather than the final geometry. However, as with a vector or formula, it is a representation of the actual item.
AR & VR
The two primary transformation aspects in the industry 4.0notion are augmented reality (AR) and virtual reality (VR). AR technology in manufacturing enables firms to operate more efficiently by reducing production time. Additionally, it discovers and resolves manufacturing process difficulties.
Virtual reality technology benefits the industrial business in a variety of ways. It enables product designers to mimic their prototypes or models using powerful virtual reality software. This enables them to correct faults at the first stage of production and minimize production time and cost. Additionally, the technology provides additional benefits, such as increased workplace productivity and safety.
Enterprise Resource Planning (ERP) refers to a comprehensive end-to-end software solution that is used across sectors. It assists the manufacturing business in successfully maintaining production processes and other operational data by avoiding numerous roadblocks along the way. ERP technology enables enterprises to improve process efficiency and product quality by tackling industry-specific difficulties such as insufficient data, operation integration, inventory control, supply chain management, and on-time delivery.
Discover How John Deere Manufactured Their Tractors Using Cutting-edge Technologies
John Deere is a significant firm that embraces innovation and the Internet of Things. The company integrates Internet of Things sensors, wireless communication, and intelligent land management systems. It further integrates IoT tools into its manufacturing process, bridging the gap between technologies. Additionally, the company is a pioneer in GPS technology. Its most modern technology, which it incorporates into tractors, is accurate to within two centimeters. Additionally, the organization has implemented telemetry technology for predictive maintenance.
Manufacturing innovations are assisting manufacturers in modernizing their traditional manufacturing processes. Modern manufacturing is equipped with modern technologies that aim to improve the processes and goods, increasing the manufacturers' commercial revenues. So, to remain competitive in this age of technological innovation, manufacturers must update their manufacturing processes to remain relevant in today's manufacturing world.
What is manufacturing innovation?
Manufacturing innovation includes new technology, supply chain modifications, and product and process improvements. As a result, businesses can benefit significantly from innovation and typically surpass their competitors.
Which technologies are considered to be a component of advanced manufacturing?
3–D printing, robotics, IoT, nanotechnology, cloud computing, robotics, and big data are the significant components of advanced manufacturing.
How are cutting-edge technologies assisting the manufacturing sector?
The cutting-edge technology can precisely estimate demand to set production objectives, analyze machine data to predict when parts will break before a human operator can detect, and more.
"name": "What is manufacturing innovation?",
"text": "Manufacturing innovation includes new technology, supply chain modifications, and product and process improvements. As a result, businesses can benefit significantly from innovation and typically surpass their competitors."
"name": "Which technologies are considered to be a component of advanced manufacturing?",
"text": "3–D printing, robotics, IoT, nanotechnology, cloud computing, robotics, and big data are the significant components of advanced manufacturing."
"name": "How are cutting-edge technologies assisting the manufacturing sector?",
"text": "The cutting-edge technology can precisely estimate demand to set production objectives, analyze machine data to predict when parts will break before a human operator can detect, and more."
Article | December 8, 2021
A digital twin is a virtual model of an object or system that comprises its lifecycle. It is updated with real-time data and aids decision-making through simulation, machine learning, and reasoning for the production system.
IoT sensor data from the original object is used to create a digital twin of the system. This cloud-connected data allows engineers to monitor systems and model system dynamics in real-time.
Modifications can be tested on the digital twin before making changes to the original system.
Considering that digital twins are supposed to replicate a product's complete lifecycle and are used throughout the production process, it's not unexpected that digital twins have become prevalent in all stages of manufacturing.
“More than a blueprint or schematic, a digital twin combines a real-time simulation of system dynamics with a set of executive controls,”
– Dr. Daniel Araya, consultant and advisor with a special interest in artificial intelligence, technology policy, and governance
Companies will increasingly embrace digital twins to boost productivity and decrease expenses. As per recent research by Research and Markets, nearly 36% of executives across industries recognize the benefits of digital twinning, with half planning to implement it by 2028.So how does this digital twin technology benefit modern manufacturing? Let's have a look.
How the Digital Twin Drives Smart Manufacturing
Digital twins in manufacturing are used to replicate production systems. Manufacturers can develop virtual representations of real-world products, equipment, processes, or systems using data from sensors connected to machines, tools, and other devices.
In manufacturing, such simulations assist in monitoring and adapting equipment performance in real-time. With machine learning techniques, digital twins can predict future events and anticipate potential difficulties.
For maintenance, digital twins allow for quick detection of any problems. They collect real-time system data, prior failure data, and relevant maintenance data. The technique employs machine learning and artificial intelligence to predict maintenance requirements. Using this data, companies can avoid production downtime.
Digital Twin and Artificial Intelligence (AI) in manufacturing
Using digital twins and AI in production can enhance uptime by predicting potential failures and keeping equipment working smoothly. In addition, there are significant cost savings in the planning and design process as digital twins and AI can be used to replicate a specific scenario.
Maintenance is another area that has seen significant progress with the use of digital twin manufacturing. A Digital Twin powered by AI can predict when a piece of equipment will fail, allowing you to arrange predictive maintenance that is not simply taking information from OEM manuals but can significantly cut maintenance expenses along with reducing downtime.
Using the digital twin, it is feasible to train virtual workers in high-risk functions, similar to how pilots are trained using flight simulators. It also frees up highly skilled workers to upgrade the plant and streamline operations.
General Electric Created the Most Advanced Digital Twin
General Electric Company (GE) is a multinational business based in Boston that was founded in 1892. It has developed the world's most advanced digital twin, which blends analytic models for power plant components that monitor asset health, wear, and performance with KPIs (Key Performance Indicators) determined by the customer and the organization's objectives. The Digital Twin is powered by PredixTM, an industrial platform built to manage huge amounts of data and run analytic algorithms. General Electric Company provides extra "control knobs" or "dimensionality" that can be utilized to improve the operation of the system or asset modeled with GE Digital Twin.
Given the numerous advantages of digital twin manufacturing, the potential for digital twins to be used in manufacturing is virtually endless in the near future. There will be a slew of new advancements in the field of digital twin manufacturing. As a result, digital twins are continually acquiring new skills and capabilities. The ultimate goal of all of these enhancements is to create the insights necessary to improve products and streamline processes in the future.
What is a digital twin in manufacturing?
The digital twins could be used to monitor and enhance a production line or perhaps the whole manufacturing process, from product design to production.
How digital twin benefit manufacturers?
Using digital twins to represent products and manufacturing processes, manufacturers can save assembly, installation, and validation time and costs.
What is a digital thread?
A digital twin is a realistic version of a product or system that replicates a company's equipment, controls, workflows, and systems. The digital thread, on the other hand, records a product's life cycle from creation to dissolution.
"name": "What is a digital twin in manufacturing?",
"text": "The digital twins could be used to monitor and enhance a production line or perhaps the whole manufacturing process, from product design to production."
"name": "How digital twin benefit manufacturers?",
"text": "Using digital twins to represent products and manufacturing processes, manufacturers can save assembly, installation, and validation time and costs."
"name": "What is a digital thread?",
"text": "A digital twin is a realistic version of a product or system that replicates a company's equipment, controls, workflows, and systems. The digital thread, on the other hand, records a product's life cycle from creation to dissolution."