5 Benefits of Starting a Manufacturing Blog

AUBREIGH ULICKI| February 07, 2020
5 BENEFITS OF STARTING A MANUFACTURING BLOG
Manufacturing is one of the top industries driving the U.S. economy, responsible for 11.39 percent of total output in 2019. As established companies in the industry expand their reach and new companies emerge, the need to establish thought leadership is more important than ever. How can you lead the way? It’s simple-start a manufacturing blog.

Spotlight

Tyson Foods

Tyson Foods, Inc., founded in 1935 with headquarters in Springdale, Arkansas, is the world's largest processor and marketer of chicken, beef and pork, the second-largest food production company in the Fortune 500 and a member of the S&P 500. The company produces a wide variety of protein-based and prepared food products and is the recognized market leader in the retail and foodservice markets it serves. Tyson provides products and service to customers throughout the United States and more than 90 countries. The company has approximately 115,000 Team Members employed at more than 300 facilities and offices in the United States and around the world. Through its Core Values, Code of Conduct and Team Member Bill of Rights, Tyson strives to operate with integrity and trust and is committed to creating value for its shareholders, customers and Team Members. The company also strives to be faith-friendly, provide a safe work environment and serve as stewards of the animals, land and environmen

OTHER ARTICLES

Corporate Citizenship and Industrial Investment in Uganda: Key to Accessing Significant Affordable Workforce

Article | June 28, 2021

Manufacturing journalist Thomas R. Cutler visited the remarkable and magnificent country of Uganda. Foreign investment is coming into the country and that is a good thing; it is not however, enough. To tap into this workforce corporate citizenship and contribution is essential. Just as I underestimated the stamina needed to climb the mountain to experience the gorillas, the role of transforming Uganda requires a careful, well-thought approach.

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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.

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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.

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Microfinancing in Uganda Works with Lean Manufacturing Precision

Article | November 23, 2021

Having recently returned from Uganda, had the pleasure of being introduced by Bernard Munyanziza of Nziza Hospitality to Gilbert Atuhire. He is the Managing Director at Value Addition Microfinance Ltd. which provides micro loans to producers and manufacturers. Atuhire is an attorney by training, however his ability to articulate the core values of Lean Six Sigma and continuous process improvement were abundantly clear. The Kampala, Uganda offices are located on Parliamentary Avenue and Dewinton Rise. This central location allows direct access to industrial projects.

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Spotlight

Tyson Foods

Tyson Foods, Inc., founded in 1935 with headquarters in Springdale, Arkansas, is the world's largest processor and marketer of chicken, beef and pork, the second-largest food production company in the Fortune 500 and a member of the S&P 500. The company produces a wide variety of protein-based and prepared food products and is the recognized market leader in the retail and foodservice markets it serves. Tyson provides products and service to customers throughout the United States and more than 90 countries. The company has approximately 115,000 Team Members employed at more than 300 facilities and offices in the United States and around the world. Through its Core Values, Code of Conduct and Team Member Bill of Rights, Tyson strives to operate with integrity and trust and is committed to creating value for its shareholders, customers and Team Members. The company also strives to be faith-friendly, provide a safe work environment and serve as stewards of the animals, land and environmen

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