Project Management Trends in Manufacturing in 2019

ANASTASIIA ANDRIIUK| August 06, 2019
PROJECT MANAGEMENT TRENDS IN MANUFACTURING IN 2019
The Fourth Industrial Revolution revolves around technology, smart sensors that collect real-time data, artificial intelligence that increases production efficiency, and better manufacturing quality, security, and transparency. Developments in computing ensure seamless connectivity and large-volume data processing.

Spotlight

Creatix3D

Creatix3D is a consulting and integration company for 3D printing solutions for industry, design and architecture. We believe that the 3D printer can prototyping of course, but especially to manufacture smarter, lighter and more beautiful series parts. We believe that the integration of this technology only makes sense if the whole process of design, tooling and manufacturing is put back to the plate.

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Did You Read about the Manufacturing Challenges for 2022?

Article | December 8, 2021

The new manufacturing industry outlook for 2022 is what businesses desire. Due to COVID-19, the sector has seen several ups and downs in recent years. But the industry overcame the most difficult situation by adopting innovations as their working hands. But all this upgrading and digitalization in manufacturing isn't for everyone. Some manufacturers may struggle with this change, while others may not. So, taking into account all industry segments, we have compiled a list of potential manufacturing challenges for 2022. “Many companies simply are not willing to change or think they are done once they make a change. But the truth is that technology, consumer demands; the way we work, human needs and much more are constantly changing.” – Michael Walton, Director, Industry Executive (Manufacturing) at Microsoft The summary of manufacturing industry challenges and industry outlook for 2022 are presented in the stats below. According to the National Association of Manufacturers (NAM), four million manufacturing jobs will likely be needed over the next decade, and 2.1 million will likely go unfulfilled unless we motivate more people to pursue modern manufacturing occupations. According to PTC, 70% of companies have or are working on a digital transformation plan. According to Adobe, 60% of marketers feel technology has increased competitiveness. The statistics show that while digitalization facilitates the process, it also poses several challenges that must be addressed in the coming years. Let's explore what obstacles manufacturers may face in 2022. The Manufacturing Industry Challenges in 2022 The manufacturing business has had a difficult few years as a result of the current economic downturn, and 2022 may not be even that smooth. Thought, technology, and current trends make the operations of upscale manufacturers easier, but not everyone is on the same page. Let's look at some of the manufacturing challenges that businesses will face in the next year. Skilled Labor Shortage The manufacturing industry is facing a workforce shortfall as a skilled generation prepares to retire. Industry experts say that by 2025, there will be between 2 and 3.5 million unfilled manufacturing jobs. As a result of the advancement of new technologies, manufacturing organisations are finding themselves with fewer personnel. They do, however, require individuals with a diverse range of abilities, such as mathematicians and analytic thinkers, to accomplish the tasks with precision. Specific manufacturing tasks have been automated to save time and money. Industry has adopted machine sensors to capture large amounts of data. With this kind of innovation, the industry's job structure is changing and the desire to hire an untrained or trainable workforce is slowly fading in the industry. However, using augmented reality and virtual reality, manufacturers can easily train personnel for the job and save money. Lack of Ability to Mine Data Manufacturing is progressively using IoT. The majority of businesses have already installed or are planning to install Internet of Things machines. These smart machines let businesses collect data to improve production and conduct predictive maintenance. But getting data is a simple task. The difficult aspect is analyzing and aggregating data. Despite possessing the machines, most companies lack the systems to analyze and retrieve the data recorded by the systems. In this way, the industries are missing a vital opportunity. The industry must improve data mining capabilities to make better decisions in real-time. Using IoT for analytics and predictive maintenance is critical. Monitoring technologies can help the sector examine data quickly. It can also help predict an asset's maintenance period. As a result, the industry will move from replacement to predict and fix. Self-service Web Portals That Is Extremely Detailed and Precise Manufacturing businesses usually strive for on-time order delivery and optimum revenue. However, consumer self-service, which has been in the industry for a long time, has never proven to be a simple walk for clients. Clients are frequently required to pick up the phone and contact manufacturers in order to track their orders and receive delivery estimates. This is hardly the service one would expect from a manufacturer, even more so in today's digital era. The term customers in manufacturing include partners, end-users, and subcontractors. These three clients have distinct requirements and concerns about collaborating with the manufacturer. Companies can better serve their customers if their partner and end-customer portals are linked to a central hub which we can mention as self-service web portals. All of the information and updates they need about their orders will be available to them through this new system. They can track, accept and amend their tasks. They'll also use the self–service portal to contact the manufacturer. In this way, manufacturers can better serve their customers. A system like this will ensure that all parties have access to timely information in a digital format. Meeting the Deadline for the Project Product launch timelines are extremely demanding, tight, and stringent. Every project in the assembly line is about cost, time, and quality. Ultimately, these projects are rigorous and well-controlled. Manufacturers who fail to meet deadlines risk losing millions in potential revenues and sales. Due to rigidity and stringent control, companies are less able to change project scopes or make adjustments as projects develop. The majority of initiatives begin with a design commitment. As new facts or change criteria emerge, adjustment flexibility decreases. This can be aggravating for a team that expects high-quality results. Deadlines are always a constraint. Effective Business Digital Marketing Strategy An industry's key digital transformation challenges are driving leads, sales, and MRR through digital channels. Many manufacturing organizations struggle to efficiently use marketing channels like paid media, enterprise SEO, local SEO, content strategy, and social media. In our opinion, one of the most significant issues these organizations have is their digital experience, website design, and overall brand presentation. They can't ignore them if they want to keep enjoying the manufacturing revival. Visibility of the Supply Chain Manufacturers must respond to the growing demand from customers for greater transparency. In order to meet customer demand across the customer experience and product lifecycle, they must first understand that precise and real-time visibility throughout the supply chain is essential. All details must be taken into consideration by the manufacturers. They must be aware of any delays in the arrival of products on the market. Keeping abreast of such developments would give them a leg up in terms of adjusting or rectifying the situation. Final Words Manufacturing industry challenges have long been a part of the industry. However, industry leaders and professionals have always confronted and overcome any challenges that have come their way. The year 2022 will also be a year of achievements, setting new records, and growth for the manufacturing industry, since it will be a year in which it will develop solutions to all of the aforementioned challenges. FAQ What is the future of manufacturing? Manufacturers should start using AI, block chains, and robotics today. The combination of these new technologies will reshape manufacturing. A new workforce capable of augmenting these technologies is developing and will become the future of manufacturing. How will automation affect manufacturing in 2022? When applied properly, automation can greatly assist manufacturing. These benefits include shorter production times, faster and more efficient work than human labor, and lower production costs. How is the manufacturing industry’s market likely to upsurge in the future? According to BCC Research, the global manufacturing and process control market is expected to grow at a CAGR of 6.3 percent from $86.7 billion in 2020 to $117.7 billion in 2025. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is the future of manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Manufacturers should start using AI, block chains, and robotics today. The combination of these new technologies will reshape manufacturing. 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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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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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The Future of Additive Manufacturing: Trends and Predictions

Article | January 21, 2022

3D printing technology and its role in future manufacturing are grabbing the interest of industry experts. In terms of elevating future products, future additive manufacturing has a lot to offer the business. Additive manufacturing is developing and stretching its wings on a daily basis, becoming an integral part of every industry, including manufacturing, healthcare, education, and more. In this article, we'll shed some light on the 3D printing future trends, which will assist the business in deepening its impact across industries. Furthermore, we will explore whether the additive manufacturing business is worth investing in as well as who the major players are that have already invested in the future of 3D printing. Future Trends in the Additive Manufacturing Industry Enhanced Machine Connectivity Making AM solutions (including software and hardware) easier to integrate and connect to the factory floor is one of the key AM trends we predict to advance in the coming years. It has been a long time since the AM hardware market has been filled with closed, or proprietary, systems. These systems generally function with materials and software given or approved by the machine OEM and are not easily integrated with third-party alternatives. Closed systems are important for process dependability, but they also restrict collaboration and connectivity. Companies expanding their AM operations will need to connect their machines and software to their production environments. When it comes to additive manufacturing, using siloed solutions is a surefire way to fail. Importantly, we see hardware manufacturers increasingly focusing on solutions that can be integrated with the production floor. For example, a 3D printing market leader like Stratasys is a good illustration of the trend. In December, the business announced an extension of its previously closed machines' connection.Consumers may now integrate and control their additive production using software programs of their choosing, not just Stratasys' systems. For AM facilities, system connectivity is no longer an option. It's exciting to see the AM industry players recognize and solve this requirement. AM and AI Continue to Converge AM growth is incorporating AI and machine learning. AI can help with material development, machine setup, part design, and workflow automation. So, in the future, we anticipate seeing more AI and AM technology integration. Combined with AM systems, AI will improve process control and accuracy. For example, Inkbit is currently working on an AI-powered polymer vision system. This technology can scan 3D printing layers and anticipate material behavior during printing. Generative design, already generally recognized as a key digital advance in AM, may tremendously benefit from AI and machine learning. It has so far been utilized to improve load routes when strength and stiffness are dominant. It can also be utilized to optimize thermal or vibration. AI and machine learning will advance generative design, allowing new concepts to be completely suited to AM.While we may be a few years away from fully developing the capacity to automatically adapt designs to process, we anticipate significant breakthroughs this year that will bring us closer. AM Will Drive Decentralization In order to future-proof their supply chains, many manufacturers are following new supply chain models and technology that allow them to cut prices or switch goods more easily. Increasing flexibility and agility will necessitate distributed, localized production, assisted by additive manufacturing.To reduce the number of steps required to manufacture complex metal or polymer structures, shorten lead times, and enable digital inventory management, digital inventory management can be automated. These advantages make it ideal for the distributed manufacturing model. We believe that in the near future, more businesses will actively explore distributed manufacturing with AM. According to a recent HP survey, 59% of organizations are now considering hybrid models, while 52% are looking into localized digital manufacturing. 3D Printing Future: Major Predictions In Jabil's 2021 3D printing trends survey of over 300 decision-makers, 62% of participants claim their organization is actively using additive manufacturing for production of their product components, up from 27% in 2017. Many such manufacturers are on the lookout for the latest additive manufacturing trends and forecasts. So let's begin. Increasing Flexibility and Customization Customized goods are a popular consumer trend, impacting several sectors. Rather than buying a mass-produced item, customers are increasingly demanding a custom-made item that meets their specific needs. Additive manufacturing's low-volume production capabilities simply enable personalization and customization. 3D printing allows for more responsive design options, particularly for additive manufacturing. Manufacturers can afford to make smaller batches, allowing designers and engineers to alter product ideas and develop them cost-effectively when inspiration strikes, the public mood is understood, or customer feedback drops in. Materials Drive the Future of Digital As the additive manufacturing ecosystem grows, the importance of materials cannot be overstated. Besides high equipment costs, materials and limited additive manufacturing ecosystems have hindered the 3D printing industry's growth. The market is flooded with 3D printing materials, but few are advanced enough to fulfill industry standards.Due to volume constraints in most sectors, suppliers and manufacturers aren't motivated to develop innovative materials for new uses. However, the future of 3D printing is in engineered and application-specific materials. Various sectors have unique difficulties that demand unique solutions. New designed materials will revolutionize new uses, including highly regulated sectors. Industries will reward those who can promptly introduce 3D printing materials adapted to specific industrial and engineering needs. This will allow more 3D printing applications to be supplied and the whole digital manufacturing flywheel to start spinning. 3D Printing and a Sustainable Future Finally, additive manufacturing promotes sustainability and conservation. Besides decreasing trash, 3D printing saves energy. The Metal Powder Industries Federation studied the difference between making truck gear using subtractive manufacturing (17 steps) and additive manufacturing (6 steps). 3D printing uses less than half the energy it takes to produce the same product. 3D printing also reduces the need for moving products and materials, reducing the amount of carbon emitted into the environment. So we can see that digital and additive solutions already contribute to a more sustainable future. Is Investment in the Future of Additive Manufacturing Worth It? In recent years, there has been an explosion of investment in industrial 3D printing. Hundreds of millions of dollars have flowed into the industry in recent years, assisting new businesses. Desktop Metal ($160 million), Markforged ($82 million), and 3D Hubs ($18 million) have all received significant funding in the past. According to a recent report and data analysis, the global additive manufacturing market will hit USD 26.68 billion by 2027. A rising level of government support for additive manufacturing across regions is driving market demand. For example, America Makes, the foremost national initiative in the US since 2012 dedicated to additive manufacturing (3D printing future technology), received USD 90 million in support from the government, commercial, and non-profit sectors. Given the industry's expenditures and the expanding need for 3D printing, investing in the additive manufacturing industry or 3D printing is certainly encouraged. Final Words Additive manufacturing is being used in practically every industry, and companies are researching how technology might be used in their specific fields. The numerous advantages and sustainability that 3D printing provides are the major benefits that manufacturers and other industry professionals notice with 3D printing.Future manufacturing will be significantly more accurate and simple to run thanks to 3D printing technologies. Considering the trends and projections listed above, you may have a better understanding of 3D printing's future and make an informed investment decision. FAQ What is the future of 3D printing? 3D printing, or additive manufacturing, has the potential to empower everything from food to coral reefs. 3D printers may soon be seen in homes, companies, disaster zones, and perhaps even outer space. Why is 3D printing important to society? 3D printing results in waste reduction and so eliminates the need for periodic waste reduction, reuse, and recycling. So it helps society with no carbon footprint. Why is it known as additive manufacturing? The term "additive manufacturing" refers to the fact that the building process adds layers rather than removes raw materials.

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Spotlight

Creatix3D

Creatix3D is a consulting and integration company for 3D printing solutions for industry, design and architecture. We believe that the 3D printer can prototyping of course, but especially to manufacture smarter, lighter and more beautiful series parts. We believe that the integration of this technology only makes sense if the whole process of design, tooling and manufacturing is put back to the plate.

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