Article | April 16, 2020
We get a lot of questions from manufacturers around the difference between the edge and the cloud. Edge and cloud computing are often misunderstood to be mutually exclusive but, while they may function in different ways, leveraging one does not preclude the use of the other. In fact, they actually complement one another quite well. For manufacturing, the goal of edge computing is to process and analyze data near a machine that needs to quickly act on that data in a time-sensitive manner. It needs to make a decision right now with no delay.
Article | April 24, 2020
These days, consumers demand businesses be green - from green packaging to green solutions to green food - a green company offers sustainable or renewable products or operates in an environmentally-friendly way. Earlier this month, we reported that sourcing on Thomasnet.com for reusable bag materials is up as more shoppers and legislators seek to increase sustainability across the country. Adopting environmentally friendly processes and energy-efficient practices has numerous business benefits and is already at the center of many corporate social responsibility policies and marketing strategies.
Article | February 22, 2022
The integration of cutting-edge technologies into the manufacturing industry has transformed the whole economy and accelerated the pace of all operations. Cloud computing for manufacturing is a type of technology that enables businesses to gain visibility, scalability, mobility, security, and improved collaboration, among other benefits. Seeing the benefits, many small and large players in the manufacturing business have embraced cloud computing.
“Cloud computing is not only the future of computing, but the present and the entire past of computing.”
– Larry Ellison, co-founder, executive chairman, CTO, and former CEO of Oracle Corporation.
According to IDC research, the manufacturing industry is the biggest player in cloud computing solutions, with an estimated spending of $19 billion. Additionally, Market Research Future projects that the cloud manufacturing market will reach a value of USD 121.72 billion by 2026. As a result, we may predict that manufacturing cloud computing has a long way to go in the industry.
In this article, we will look at some of the key cloud manufacturing applications and case studies of three US-based manufacturing businesses that used manufacturing cloud software ERP.
Applications for Manufacturing Cloud Computing
Cloud technology's comprehensive nature makes it an ideal solution for the challenges of marketing campaigns. Manufacturers leverage cloud-based applications to help them plan, execute, and manage marketing initiatives. Manufacturers can also look at production and sales data to see how well their campaign is working.
Product Planning and Development
Product planning and development are closely linked in manufacturing. Manufacturers can get their businesses ready for full production by integrating product planning and development information with supply chain data and communications. Comprehensive integration enables products to move a lot faster from notion to engineering, from prototype to small-scale production, and eventually to full-scale production and shipping.
Production and Stock Tracking
Once production begins, cloud technology may assist in the manufacturing and stock management of products. Businesses can use enterprise resource planning (ERP) software to match production levels to available inventory and sales. Pricing quotations, order intake, and client requests can all be managed using the ERP software. Using a standard product to keep an eye on these things reduces the time it takes to get an order.
Manufacturers rarely maintain the same level of production throughout the year for all products. They can use cloud-based tools to keep track of when to modify production to meet changing market demands. These software solutions ensure that manufacturers have the necessary raw materials on hand by making communication easier across the supply chain. This helps them easily adjust their orders to accommodate future productivity levels.
Three Case Studies of Cloud Computing in Manufacturing
Ralco Industries Leveraged Cloud to Cut Its Inventory by 15%
Ralco Industries is a producer and supplier of automotive components that specializes in precision-welded assembly and prototypes. To overcome the challenges of their business growth, the industrialists moved to manufacturing software cloud ERP and saved some money in the process. There was a lot of inefficiency, quality issues, excessive expediting prices, and wasted time due to inaccurate inventory and many unconnected systems in the past. Moving to a single integrated cloud ERP software system helped Ralco cut inventory on hand by 15%, scrap by more than 60%. It helped Ralco save money on premium freight by more than 20% and save almost $100 on each purchase order that was processed.
Avon Gear Improved Inventory Accuracy and Grew by 20% Yearly
Avon Gear Company, a maker of precision-machined components and subassemblies for heavy industrial equipment, was looking for an ERP system that would integrate data across the organization. The company chose a cloud-based manufacturing ERP to manage and record production activity, inventory status changes, receiving, shipping, and other plant-floor data. Consequently, Avon Gear's inventory accuracy has increased, and the company's growth rate has gone up by an average of 20% each year.
Wolverine Improved First-pass Quality by 15-20% Using Cloud
An automobile brake system technology firm, Wolverine Advanced Materials, found that its manual methods were not sustainable, especially when it came to supporting fast development. To grow and embrace lean manufacturing, the firm chose cloud ERP, which enabled it to properly assess cost and profitability by part. Using manufacturing cloud software, ERP, the company's factory floor workers can see all client orders and conveniently categorize them by material so that they can better manage their schedules. This has resulted in increased production and cost savings for Wolverine. Also, overtime was cut by 60%, while first-pass quality increased by 15% to 20%.
For manufacturers, cloud computing is a game changer. Manufacturing companies must deal with a lot of different sites and supply chains, which requires the use of large, complex database applications.
The Cloud computing for manufacturing is expediting industrial operations and overall business decisions in the manufacturing industry. Cloud computing enables industrial organizations to improve visibility across large fleets of facilities. It also contributes to standardization by synchronizing and supplying data for new forms of analytics. Supply chain management becomes more effective and product development gets easier with cloud computing. So, instead of debating whether to use cloud computing, take action and use cloud computing in your business.
What is cloud computing in manufacturing industry?
Cloud computing refers to the on-demand provision of IT resources over the internet. Instead of buying, running, and maintaining physical data centers and servers, you can use a cloud service. This approach would help you get computing power, storage, and databases when you need them, rather than buying and running your own.
How does cloud computing help the manufacturing industry?
Cloud-based solutions are more rapidly deployed than traditional systems, which enables firms to stay current with new innovations. Also, they are easier to change and grow, and they have the potential to make resellers more likely to use them.
Why cloud computing vital to modern manufacturing?
Cloud computing impacts all aspects of manufacturing. It enables manufacturers to see and control all manufacturing data and take informed production decisions. This is the reason why it is vital to modern manufacturing.
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.
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