digital twin driven smart manufacturing
Links related to "digital twin driven smart manufacturing"
7 Factory Efficiencies Enabled by the Internet of Things (IoT) Business
Internet of Things (IoT) technology is a key component of a connected factory. The right connectivity and IoT solution can help manufacturers leverage massive amounts of data to transform their operations. That's Enterprise Intelligence!78%,of manufacturers say better operational efficiency is the top benefit of a smart factory. loT data allows manufacturers to shift from calendar- or milestone-driven maintenance to condition- or data-driven maintenance, reducing downtime and unexpected maintenance costs. 27 hours,Each month 27 hours are lost by large plants due to machine failure. Near real-time insights into production workflows and operations from IoT sensors can highlight ways to improve efficiency in manufacturing. 11%,A beverage factory reduced its daily water consumption by 11% by implementation an IoT-based monitoring system. loT technologies such as connected ID badges, proximity sensors and computer vision can enhance site security, help reduce workplace accidents, improve worker safety and notify management if workers are in the wrong location. 3x,Manufacturers with smart factories are expected to triple productivity growth between 2020 and 2030, compared to the previous decade. Building a digital twin of a production unit could enable teams to analyze different types of data sources, minimizing faulty units, reducing downtime and increasing factory efficiency. 25%,Implementing digital twin technology can improve planning efficiency by reducing duplication of efforts and the need for manual intervention. loT sensors can help reduce quality control issues by detecting anomalies in workflows, adjusting unwanted fluctuations in environmental conditions or monitoring post-production storage conditions. 15-20%,Many organizations will have quality-related costs as high as 15-20% of sales revenue. Drones with sensors can quickly and autonomously conduct tasks like inventory tracking or transporting items inside the factory. This reduces time spent on these tasks while freeing your team to work on other higher-value projects. 50%,Studies show drones used for inventory can reduce data collection times by half. loT sensors can help improve your factory efficiency by giving you greater insight into near real-time customer demand signals and ending an overreliance on demand forecasting and out-of-dale historical trends. 80%,Of industry members are demanding greater connectivity and visibility throughout the entire supply chain. Learn more about how Verizon and IoT technology can help you build a demand-driven supply chain. Manufacturing Leadership Council, Manufacturing 4.0 Progress Survey,,Senseye, The True Cost of Downtime,,Jagtap S, Skouteris G, Choudhari V, Rahimifard S, Duong LNK. An Internet of Things Approach for Water Efficiency: A Case Study of the Beverage Factory. Sustainability. 2021; 13(6):3343. Deloitte, How Smart Factories Can Ignite Productivity,,Industry Today, Digital Twins – Enhancing Efficiency and Productivity,,ASQ, Cost of Quality,,Tech HQ, Drones in Supply Chain Management – The Inside Story,,Tive, Logistics Visibility: 2022 Market Survey Report,,If you are already a Verizon customer, we have several options to help you get the support you need. Choose your country to view contact details. Existing customers, to your business account or . These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information. These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. We use both third party and first party cookies for this purpose. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance. These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly. These cookies may be set through our site by Verizon and third parties. They are used to present Verizon advertising on third party sites that you may visit. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising from Verizon. BackClear Filters,All Consent Allowed,
Learn moreHow IoT Can Help Enable a Demand-driven Supply Chain
Miscalculating supply and demand metrics can be bad for business. It can lead to missed sales and future opportunities, a decrease in customer satisfaction and an overstock in inventory—all of which can affect profitability. In times of economic uncertainty and fluctuations in demand, forecasting future sales and fulfilling them through increasing complex supply chains is more challenging than ever. Many firms are finding that using a supply chain model based on customer demand can help improve product availability and reduce overstock. A demand-driven supply chain turns demand focus back toward the customers by responding in near real time to their demand signals. In other words, the model is based on "pulling for sales" rather than "pushing to markets.",A demand-driven supply network (DDSN) is a system that uses integrated multichannel systems (e-commerce, mobile and stores) to measure real-time demand. While traditional supply chains rely on demand forecasting and historical trends to assess demand projections, DDSNs can respond almost immediately to demand changes within their networks of customers, employees and suppliers. Distribution and logistics companies are focused on building digitally connected networks that are concentrated on the customers. Digitization is now connecting companies directly with their customers, helping them understand trends and demand signals as they happen. This approach effectively ends an overreliance on demand forecasting and out-of-date historical trends that no longer adequately serve an increasingly capricious market. To implement a demand-driven supply chain, manufacturers require better visibility into the full spectrum of the supply chain, including customers' actions. Companies need to do more than just connect their facilities; they need to make the facilities even smarter. The right onsite connectivity combined with technology and intelligence can help manufacturers, distributors and logistics companies achieve . Data analytics and supply chain planning tools can offer near-real-time insights and predictions that can help improve supply chain management, allowing companies to track and respond to customer demand signals. But these tools require massive data and Internet of Things (IoT) devices to collect them all. Deploying IoT devices across the full supply chain can give manufacturers, distributors and logistics companies the visibility they crave. IoT devices can capture near-real-time data from the factory to the distribution center to the store, which intelligent software can then analyze to make forecast and demand planning more accurate, responsive and timely. This helps companies optimize their production and inventory planning. Through these carefully managed and monitored information sources, organizations can spot new trends and spikes in demand and then quickly turn to their supply chains to fulfill them. IoT can provide visibility for demand-driven supply chain management in many ways:,IoT sensors in factories and warehouses can update inventory data in near real time, track availability and automate inventory management and alerts for low supplies. Machines can be remotely monitored using IoTconnected devices and predictive maintenance to help avoid unscheduled downtime and repairs when most inconvenient, taking into account periods of reduced customer demand. IoT platforms can facilitate improved communication and information sharing among suppliers, vendors and customers so manufacturers can plan for changes in supply or orders. Manufacturers, distributors and logistics companies can access data, such as weather information, from third-party IoT devices that could indicate possible changes in customer behavior and demand. Digital twin technology is an example of how IoT technology can help test how different levels of customer demands may impact the supply chain. Digital twins are accurate and responsive virtual models of physical objects and devices. Using data sourced from IoT, organizations can create virtual copies of their supply chains, including all the various assets, warehouses and logistics. These "digital twins" can then be used for scenario planning, helping organizations identify risks, such as the likelihood of warehouse future congestion, and make decisions around optimization earlier than previously possible. Using IoT and supply chain analytics offers organizations many benefits. Manufacturers can respond faster and more effectively to supply chain impacts, such as customer demand or weatherrelated events. When demand signals are positive, the factory can increase production (and revenue); when demand signals are weak, manufacturers can avoid building excess supply. IoT can drive factory efficiency and dynamic route optimization for deliveries. IoT sensors can help organizations know where everything is and the environmental conditions around it, potentially helping reduce waste, damage or shrinkage of assets and inventory. A more efficient supply chain means customers could encounter fewer empty shelves and receive their orders earlier. Collecting and managing data from IoT devices in near real time requires reliable connectivity that can handle the volume of data needed for your IoT solution and supply chain analytics. What's more, getting the data to the right people at the right time requires integrating operational technology and business systems. The low latency, increased bandwidth and faster throughput that 5G-enabled devices can provide could give manufacturers and distributors the performance they need to implement demand-driven supply chains. Combined with complementary technologies, such as mobile edge computing (MEC), artificial intelligence and machine learning, demand-driven supply chain management can be done at scale, with increased accuracy and automation. For example, MEC systems harnessing these technologies can send data to enterprise resource planning systems for near-immediate analysis and processing. A cloud-based digital platform can share information and insights across an organization and with trusted partners, so everyone can collaborate seamlessly regardless of their geographical locations. Optimization and automation of just-in-time manufacturing and delivery processes can then be unlocked for a faster, more agile demand-driven supply chain. In addition, edge computing and 5G can shorten the data loop by bringing the data processing to where the machines and operators are working. Modern supply chain management can appear increasingly complex. But IoT and supply chain analytics can give organizations the data and insights needed to organize their operations around a simple proposition: Respond to customer demands—otherwise known as a demand-driven supply chain. Learn how Verizon's solutions can help you create a secure, flexible, robust and sustainable supply chain that offers enhanced, near-real-time visibility into every stage. The author of this content is a paid contributor for Verizon.
Learn moreWhat is Manufacturing 4.0? Business
We've got some great deals going on right now exclusively for our online customers... chat now to hear more! What is Manufacturing 4.0?,Author: Nick Reese,The , often referred to as , leverages machine learning, artificial intelligence (AI) and interconnected devices to help machines work smarter. By leveraging 5G networks and mobile edge computing, these technologies are better able to harness massive data volumes in near-real time to power new capabilities and use cases. While Industry 4.0 can be applied in all industries, manufacturers that leverage these technologies to design, produce, and deliver products will be able to make manufacturing more agile and adaptable, allowing them to unlock new levels of production efficiency and customization. What is Manufacturing 4.0?,Manufacturing 4.0 is simply the application of Industry 4.0 in manufacturing, relying on the use of smart technology, interconnectivity, machine learning and automation to integrate data and feedback loops into the production and delivery of products across the supply chain. The rise of smart manufacturing creates to be more agile and responsive to changes in demand, build better products, and proactively identify and mitigate issues that may impact the business. Key to Manufacturing 4.0 is the smart factory, which connects and collects data across machines, people, devices and production systems to power machine learning and AI-driven analytics platforms. These platforms use data to allow managers to make data-driven decisions or, in many cases, automatically make decisions without human intervention, enabling manufacturers to . A Manufacturing 4.0 approach can generate and help make manufacturers more resilient to the unexpected so that they can continue to meet customers' needs no matter what situation might arise. In addition to helping a manufacturer remain competitive against other players in their industry, adopting a Manufacturing 4.0 strategy can also allow them to better and implement the latest technologies across the workforce. What are key Manufacturing 4.0 use cases?,By integrating near real-time data and intelligence across factory floors, warehouses, transportation, and the rest of the production and logistics supply chain, businesses have been able to unlock a number of exciting new use cases, including:,Connected factories,Every step of the manufacturing process . Smart manufacturing allows organizations to use IoT sensors to capture and measure all that data, while advanced analytics platforms make it possible to combine that data with other sources from across the organization, such as sales, marketing, finance and operations. AI-powered systems can then automatically decide which products to create and where to send them, allowing the business to stay ahead of customer demand. Predictive maintenance,Manufacturing 4.0 allows organizations to use their data to monitor the near real-time condition of every aspect of their machinery. By tracking the real-world condition of each part, operations managers can , allowing them to fix machines before they break down, thereby reducing the chances of unexpected and costly downtime. Operations managers can also use this data to get more life out of their machinery by continuing to use working parts past their scheduled life instead of replacing them unnecessarily. Resilient supply chains,The pandemic demonstrated how can be. By connecting manufacturing, logistics, transportation and sales data together, manufacturers can leverage a near real-time understanding of where products are across the supply chain to identify bottlenecks or redirect supply. This visibility can also help third-party partners better predict when they'll get the products they need, helping them improve their own supply chain management. Digital twins,Digital twins, which are a complete , enable operations managers to virtually inspect and experiment with a digital representation to discover the optimal maintenance solution before sending a technician to work. What technologies are used in Manufacturing 4.0?,Smart manufacturing requires four advanced technologies working together:,Industrial Internet of Things (IIoT),uses sensors to collect data from machines, robots, components and products to capture near real-time location, performance and condition data. Cloud computing,All of this , which provides the storage volume, scalability and cost efficiency to manage massive volumes of data. Data can be shared and accessed with other departments to allow the business to operate as one. Advanced analytics,that are powered by machine learning and AI use all the data that the business captured in the cloud to identify patterns and insights no human analyst could detect. Managers can use the analytics to make decisions, or the analytics can trigger that allows the smart factory to manage itself. Security in manufacturing,Any can be a target for cyber criminals, competitors seeking intellectual property secrets or even state actors seeking to disrupt their rivals' critical industries. can continually test and patch vulnerabilities to help IT staff keep up as the attack surface scales. What type of network infrastructure works best for Manufacturing 4.0?,Smart manufacturing requires internet-connected production machines that generate massive data volumes, which are then migrated to the cloud. Once there, analytics platforms need to access and leverage these data volumes to power their processes. And all of this must be done in near real-time, requiring two advanced networking technologies to deliver the bandwidth, resilience and security required: 5G and mobile edge computing (MEC). 5G,5G has the potential to move data substantially faster than 4G, allowing manufacturers to move and leverage more data between sensors, devices and the cloud in near real-time. MEC,MEC allows data processing and storage to take place instead of in a faraway data center, reducing latency and allowing applications and IIoT-enabled devices to take action on data where and when it's created. The ability to leverage data and analytics will play a critical role in how manufacturers compete in a digital world. Verizon 5G Edge delivers industry-leading solutions for private MEC so you can integrate data throughout your operations. Discover how Verizon can help . If you'd like to receive new articles, solutions briefs, whitepapers and more—just let us know. . * Indicates a required field. We will follow up from your contact request using the information provided. Choose your country to view contact details. Manage your account or get tools and information. These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information. These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. We use both third party and first party cookies for this purpose. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance. These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly. These cookies may be set through our site by Verizon and third parties. They are used to present Verizon advertising on third party sites that you may visit. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising from Verizon. BackClear Filters,All Consent Allowed
Learn moreAshburn, Virginia, United States(based on your internet address)