Battle of Software: 3ds Max vs MAYA

LUCIE GAGET| March 22, 2019
BATTLE OF SOFTWARE: 3DS MAX VS MAYA
We know it! The 3D modeling world is actually offering a lot of possibilities and it might sometimes be complicated to see what are the best tools to use for your project. Choosing the perfect 3D modeling software is one of the most important parts of your project while getting started with 3D work.

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Valrhona’s story began in 1922 with passion, commitment and excellence as its guiding lights. Ever since, these three values have paved our way, allowing us to push back the boundaries of creativity and flavor. Alongside our partners and customers, we imagine the best of chocolate every day.

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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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Rex Moore Proves Project Business Automation Provides Predictive and Proactive Resource Requirements

Article | July 28, 2021

Rex Moore Group, Inc. is a Top50 electrical contractor delivering unmatched integrated electrical solutions. As an early adopter of Lean manufacturing principles, Rex Moore has created a company-wide culture of continuous improvement that drives significant value to their clients. The firm contracts and performs both design/build and bid work for all electrical, telecommunications, and integrated systems market segments. Rex Moore has a full-service maintenance department to cover emergency and routine requirements for all facilities, whether an existing facility or one that has been recently completed by the company. The ability to negotiate and competitively bid various forms of contracts including lump-sum, fixed fee, hourly rate, and cost-plus work as a prime contractor, subcontractor, or joint venture is enhanced with Project Business Automation (PBA) from Adeaca. This solution permits the company to propose work only if they are in a position to be competitive in the marketplace and provide excellent service with fair compensation. Rex Moore used Adeaca PBA as a construction management software for builders and contractors to integrate and facilitate its business processes in its ERP system. Together with Microsoft Dynamics, PBA integrated processes across the company on a single end-to-end platform. This allowed the company to replace 15 different applications with a single comprehensive system, eliminating the costs and inefficiencies associated with multiple systems and silos of information.

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Egyptian Warehouse Automation Leader Solves North American Supply Chain Disruption Challenges

Article | January 20, 2022

COVID drove many supply chain disruptions in 2021. This was particularly true for companies using Asia to source product. Sadly, the bottleneck continues in 2022, but there are new channels now available to serve the North American material handling market. System integrators, dealers, and distributors in the space cannot work with vendors who offer slow delivery timetables. Customers want shelving, racking, conveyors, and robotics no later than Q3 2022. MODEX 2022 provides answers to solve the supply chain disruption MODEX 2022 (March 28-31, 2022) in Atlanta, will once again bring many global manufacturers to the event. Nearly 800 exhibitors and 40,000 attendees will respect COVID health and safety protocols while learning about much needed solutions from a variety of global manufacturers. For the first time there is an African company exhibiting at MODEX: LinkMisr International. Booth #C5475

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Scaling, Optimizing & Pivoting with Smart Manufacturing Industry 4.0

Article | January 20, 2022

A smart factory that leverages Industry 4.0 concepts to elevate its operations has long been a model for other industries that are still figuring out how to travel the digital manufacturing route. Smart manufacturing technology is all you need to know if you're looking to cash in on this trend. “Industry 4.0 is not really a revolution. It’s more of an evolution.” – Christian Kubis In this article, we'll look at the advantages that many smart factory pioneers are getting from their smart factories. In addition, we will look at the top smart factory examples and understand how they applied the Industry 4.0 idea and excelled in their smart manufacturing adoption. Industry 4.0 Technology Benefits Manufacturing Industry 4.0 has several benefits that can alter the operations of manufacturers. Beyond optimization and automation, smart manufacturing Industry 4.0 aims to uncover new business prospects and models by increasing the efficiency, speed, and customer focus of manufacturing and associated industries. Key benefits of Manufacturing Industry 4.0 in production include: Improved productivity and efficiency Increased collaboration and knowledge sharing Better agility and adaptability Facilitates compliance Improved customer experience Reduced costs and increased profitability Creates opportunities for innovation Increased revenues World Smart Factory Case Studies and Lessons to Be Learned Schneider Electric, France SAS Schneider Electric's le Vaudreuil plant is a prime example of a smart factory Industry 4.0, having been regarded as one of the most modern manufacturing facilities in the world, utilizing Fourth Industrial Revolution technologies on a large scale. The factory has included cutting-edge digital technology, such as the EcoStruxureTM Augmented Operator Advisor, which enables operators to use augmented reality to accelerate operation and maintenance, resulting in a 2–7% increase in productivity. EcoStruxureTM Resource Advisor's initial deployment saves up to 30% on energy and contributes to long-term improvement. Johnson & Johnson DePuy Synthes, Ireland DePuy Synthes' medical device manufacturing plant, which started in 1997, just underwent a multimillion-dollar makeover to better integrate digitalization and Industry 4.0 smart manufacturing. Johnson & Johnson made a big investment in the Internet of Things. By linking equipment, the factory used IoT technology to create digital representations of physical assets (referred to as “digital twins”). These digital twins resulted in sophisticated machine insights. As a result of these insights, the company was able to reduce operating expenditures while simultaneously reducing machine downtime. Bosch, China Bosch's Wuxi factory's digital transformation uses IIoT and big data. The company integrates its systems to keep track of the whole production process at its facilities. Embedding sensors in production machinery collects data on machine status and cycle time. When data is collected, complicated data analytics tools analyze it in real-time and alert workers to production bottlenecks. This strategy helps forecast equipment failures and allows the organization to arrange maintenance ahead of time. As a consequence, the manufacturer's equipment may run for longer. The Tesla Gigafactory, Germany According to Tesla, the Berlin Gigafactory is the world's most advanced high-volume electric vehicle production plant. On a 300-hectare facility in Grünheide, it produces batteries, powertrains, and cars, starting with the Model Y and Model 3. For Tesla, the goal is not merely to make a smart car, but also to construct a smart factory. The plant's photographs reveal an Industry 4.0 smart factory with solar panels on the roof, resulting in a more sustainable production method. On its official website, Tesla claimed to use cutting-edge casting methods and a highly efficient body shop to improve car safety. Tesla's relentless pursuit of manufacturing efficiency has allowed them to revolutionize the car industry. Haier, China The SmartFactoryKL was established to pave the way for the future's "intelligent factory." It is the world's first manufacturer-independent Industry 4.0 production facility, demonstrating the value of high-quality, flexible manufacturing and the effectiveness with which it can be deployed. The last four years, SmartFactoryKL has been guided by particular strategic objectives that drive innovation; the aim is to see artificial intelligence integrated into production. Two instances of AI-driven transformations include an "order-to-make' mass customization platform and a remote AI-enabled, intelligent service cloud platform that anticipates maintenance needs before they occur. Final Words Enabling smart manufacturing means using the latest technology to improve processes and products. The aforementioned smart factory examples are industry leaders and are thriving by implementing Industry 4.0 technology. Small and medium-sized enterprises (SMEs) may use these smart factory examples to learn about the adoption process, challenges, and solutions. Industry 4.0 is aimed at improving enterprises and minimizing human effort in general. So adopt the smart factory concept and be productive. FAQ What is the difference between a smart factory and a digital factory? The digital factory enables the planning of factories using virtual reality and models, whereas the smart factory enables the operation and optimization of factories in real time. Where does Industry 4.0 come from? The term "Industry 4.0" was coined in Germany to represent data-driven, AI-powered, networked "smart factories" as the fourth industrial revolution's forerunner.

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Valrhona

Valrhona’s story began in 1922 with passion, commitment and excellence as its guiding lights. Ever since, these three values have paved our way, allowing us to push back the boundaries of creativity and flavor. Alongside our partners and customers, we imagine the best of chocolate every day.

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