How Lockheed Martin is Using Augmented Reality in Aerospace Manufacturing

| August 23, 2019
HOW LOCKHEED MARTIN IS USING AUGMENTED REALITY IN AEROSPACE MANUFACTURING
Lockheed Martin is famous for engineering innovation, dating back to the legendary Skunkworks. Today, the defense contractor is making use of innovative augmented reality technology in their manufacturing process and across entire product lifecycles. Lockheed Martin’s AR project began in the Space Systems division, for example in assembly and quality processes for NASA’s Orion Spacecraft.

Spotlight

Kulicke & Soffa Netherlands

Our expertise and historic position enables us to design and manufacture best-in-class equipment. Kulicke & Soffa is well positioned to help customers meet the challenges of assembling the next-generation semiconductor and electronics products.

OTHER ARTICLES

How Intent Data for Manufacturers Can be Beneficial in 2021?

Article | April 6, 2021

As the pandemic upended plans for marketing and sales in 2020, it forced marketers in the manufacturing industry to adopt the tactics of the remote world. Many of them are still wondering how they can focus on driving business growth in 2021. Intent data has undoubtedly added some spice to the season of online marketing. Research conducted by B2BecNews on 110 businesses found that 59.5% of business buyers research two to three websites before buying while 29.7% research up to seven websites. The “How” of Intent Data Intent data allows businesses to channel their expenditure to the leads that matter the most. It boosts sales and encourages marketers to be smarter by doing more in less time. Moreover, b2b buyers now tend to look for an immersive digital experience and are likely to conduct more and more searches before engaging with a brand. Such digital activity will tell you what a visitor’s intentions are called the intent data. To drive your business, here are some tried-and-true and unexpectedly productive ways to scale up your marketing and sales game using intent data. Improve your Sales Pitches/Pipelines When you are expanding or redefining your business because you want to target a new market or audience, third-party intent data is a decent place to start. Through intent data, your sales team can build a year’s pipeline by reaching target audiences. To get the value of your sales, you can use intent data categorizing with a professional group, seniority, functional area, business size, and more for targeted prospects. And if your data provides contact information, your sales team will have an even deeper understanding of the dynamics of prospects’ buying activities. Moreover, learning about the fact if a CEO or a random visitor visits your website creates a difference between a quality lead and a generic one. There are times when organizations don’t vigorously look for a product. But with the right content force, you can direct them towards a purchase decision. This way, you can get a chance to pitch and improve sales. So, how can content pitch sales? The next point explains the importance of nurturing content on your website. Nurture with Personalized Content Once you target new prospects, you can nurture them with excellent and informational marketing content. These can be in various forms like articles, blogs, advertisements, social media, infographics, and more. Personalization results better in the sea of marketing (digitally or manually). Since the pandemic has pushed the digital world extensively, personalization is on a hike. Companies that personalize their marketing strategies to communicate are improved by 86% in customer relations, have higher conversation rates, and observed improvement in businesses. To personalize your content, you have to look at intent data and search for the prospect’s interests. After your research, you can create content for them. Paying attention to contextual information will improve the prospect’s experience, causing them to turn into your client. After you create personalized content, what will happen next? Find out ahead. Generate High-Quality Leads Intent data tells you how far each prospect has progressed. A combination of intent and context data helps with lead scoring, which shows you the quality of leads. For example: A visit to your website by an intern is somewhat different from a CEO’s visit. Consuming content on general industry information differs in value from product-specific content that provides information on websites. When a visitor compares prices, it intends to buy, opposite to a visitor who bookmarks pages. Besides, intent data for manufacturers also tells: Channels to target your prospects actively. Content to encourage Offers to serve The timing of each lead nurturing action Improve Account-Based Marketing Campaigns Account-based marketing and intent data go hand-in-hand. So, it would be best if you worked through every possible path to collect more information about your prospects. This way, it will help you take a focused approach. Once you identify the interested prospects, you can focus your time and energy on those accounts and expand your reach. Intent data helps you to find more in-market customers. They can score leads with better precision and re-shape your marketing campaigns by showing up with the right message at the right time. Include Marketing Automation Operations Implementing marketing automation technologies with intent data will save your team's time. As they usually spent analyzing data entry by automatically setting alerts when buyers intend to show their interest. Why is Intent Data for Manufacturing Becoming Crucial for Future? With marketers, or say, manufacturing marketers, it's always vital to drive revenue for business and get ahead with trending marketing paths. For this, knowing intent of prospects is a must to gain success. Knowing a prospector’s behavior can help your marketing team target a specific profile and create personalized content on demand to increase their purchase decision. After all the information is collected, prospects become more knowledgeable and informed of the decision they make. More information attracts more potential buyers when they are informed conveniently at the right time and manner. In this entire process, you gain an increased ROI. These aspects are incomplete without intent data for manufacturers, which targets numerous data and creates an easy baseline so that marketers can learn precisely about potential prospects’ behaviors. Intent data can be used for the future through a particular pattern. Generic marketing campaigns delivered to a random audience will simply shut down your business. Because now, the users expect to see content that’s valuable to them. Therefore, intent data for manufacturers is the key to providing better answers and solutions and allowing better marketing budgets. Both of these lead to more conversions which results in more revenue. Frequently Asked Questions How is intent data collected? The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search. How can manufacturers leverage intent data? The steps to leverage are: 1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more. 2. Create quality yet informational content following the prospects’ interest. 3. Now, it’s time to promote content with the right on different channels to attract prospects. What are the intent data tools for manufacturers? Some good intent data tools manufacturers can use are: Leadfeeder ZoomInfo KickFire DemandJump What is buyer intent data for manufacturers? Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "HOW IS INTENT DATA COLLECTED?", "acceptedAnswer": { "@type": "Answer", "text": "The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search." } },{ "@type": "Question", "name": "HOW CAN MANUFACTURERS LEVERAGE INTENT DATA?", "acceptedAnswer": { "@type": "Answer", "text": "The steps to leverage are: 1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more. 2. Create quality yet informational content following the prospects’ interest. 3. Now, it’s time to promote content with the right on different channels to attract prospects." } },{ "@type": "Question", "name": "WHAT ARE THE INTENT DATA TOOLS FOR MANUFACTURERS?", "acceptedAnswer": { "@type": "Answer", "text": "Some good intent data tools manufacturers can use are: Leadfeeder ZoomInfo KickFire DemandJump" } },{ "@type": "Question", "name": "WHAT IS BUYER INTENT DATA FOR MANUFACTURERS?", "acceptedAnswer": { "@type": "Answer", "text": "Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy." } }] }

Read More

It's Time to Redesign Your Business with Manufacturing Analytics

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 Predictive Maintenance 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 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. Demand Forecasting 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 Analysis 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. Final Words 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. FAQ 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.

Read More

AGV ROI Starts with a Delivery Commitment

Article | January 4, 2022

So much emphasis has been placed on features, advantages, and benefits; too little attention has been paid to delivery dates. The best automation solution on paper means nothing if it cannot be delivered in 2022. Selling the sexy sizzle of new, clever, even remarkable AGVs means nothing if manufacturers and distribution centers cannot take delivery of the product until 2023. Throughout industrial manufacturing and distribution the lead time from many AGV manufacturers is more than a year. That means product ordered in Q1 2022 will not be delivered until the following year. That is an absurd lead time and reflects poor planning and unnecessary supply chain constraints.

Read More

Manufacturing Has the Lowest Percentage of High-Severity Flaws but Needs to Improve Time to Remediation

Article | March 30, 2021

The past 12 months have been especially challenging for the manufacturing industry. The pandemic affected in-person manufacturing jobs as well as supply and demand, causing many manufacturing companies to shut their doors or lay off valuable employees. Recognizing the vulnerable state of manufacturing companies, cybercriminals saw manufacturing as an easy target. In fact, the manufacturing industry saw an 11 percent increase in cyberattacks in 2020. And even more concerning, our recent State of Software Security v11 (SOSS) report found that, when compared to other industries, the manufacturing industry ranks last for fix-rate and median time to remediate security flaws. That means that the manufacturing industry has security flaws in applications that aren???t getting resolved in a timely manner. And more lingering flaws mean more opportunity for a cyberattack.

Read More

Spotlight

Kulicke & Soffa Netherlands

Our expertise and historic position enables us to design and manufacture best-in-class equipment. Kulicke & Soffa is well positioned to help customers meet the challenges of assembling the next-generation semiconductor and electronics products.

Events