MANUFACTURING TECHNOLOGY

McNeilus Redesigns Parts Brands to Better Serve All Fleets' Replacement Parts Needs

McNeilus | January 15, 2022

McNeilus Redesigns Parts
McNeilus Truck and Manufacturing, Inc., a subsidiary of Oshkosh Corporation, is reorganizing its replacement parts business to provide customers with two unique alternatives for acquiring the parts they need when they need them — regardless of the brand or model of their fleets.

Street Smart PartsTM and McNeilus® Genuine Components offer high-quality parts, vehicle lifetime support, and online ordering 24 hours a day, seven days a week. The distinction is that Street Smart Parts provides replacement parts for all makes and models of concrete mixers and garbage collection trucks. In contrast, McNeilus Genuine Parts offers replacement parts for McNeilus-manufactured vehicles alone.

McNeilus' objective is to keep client fleets operational. These component brands accomplish that purpose, mainly when supply chain concerns may cause customers to choose repair over replacement.

"Our customers need a partner that can help them keep their business running—without the middleman or the runaround—and they have that in McNeilus,"

- Matt McLeish, Vice President of Sales and Marketing-McNeilus Refuse Collection Vehicles.

And they’re getting full lifecycle support, not just for the McNeilus trucks in their fleet but for their entire fleet, with our two replacement parts brands,added Peter Gallette, Vice President of Sales and Marketing-McNeilus Mixer Platform.

Street Smart Components
McNeilus has reintroduced the Street Smart Parts brand as a dedicated source for competitor replacement parts created and tested to match or exceed OEM specifications. The brand now has a fresh logo and a broader selection of replacement components for all makes and models of vehicles. When combined with McNeilus Genuine Parts, clients benefit from a one-stop-shop dedicated to offering high-quality replacement parts that meet the requirements of any fleet, regardless of its composition.

Genuine McNeilus Components
McNeilus assists customers in minimizing vehicle downtime and maximizing the performance of their fleets. McNeilus Genuine Parts will meet your expectations for every McNeilus model. These OEM components were developed exclusively for McNeilus products by engineers dedicated to the concrete and trash-collecting sectors. In addition, all of our products are supported by the power of our parent business, Oshkosh Corporation, which possesses unmatched competence in the design and manufacture of severe-duty vehicles for the most challenging situations.

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Universal Robots Introduce First Virtual Expo with Collaborative Robots to Automate Machine Tending Tasks

Universal Robots | February 15, 2021

Universal Robots' Machine Tending Expo is ready to show how manufacturers are going to take advantage of tasks by automating machine tending with collaborative robots. Universal Robots introduces the first virtual expo which will be important to keep equipment running in manufacturing factories. It’s not shocking; a lot of U.S. manufacturers are redesigning their workforce architecture with automation with machine tending. It has now become one of the most sought-after applications to automate. Upon this development, Joe Campbell, Senior Manager of Applications Development at Universal Robots (UR) mentions that the Machine Tending Expo will help manufacturers to end all tedious and potentially dangerous jobs that prevailed before. The attendees at the Expo will be able to visit virtual booths. These will feature a wide range of turnkey solutions and application kits for easy deployment of machines. In live demos and educational keynotes, manufacturers will learn all the ins and outs of machine tending with UR cobots. On display: New Robot Tending Systems Universal Robots is building a fast-expanding network of Certified System Integrators (CSI). As many CSIs not only offer help with UR cobot deployment but also develop turnkey robot tending systems and robot-machine communication. Alex Webster, owner of UR CSI SDMS Robotics has helped all kinds of machines to include UR cobots. This is the essential technology. It was needed to bring robots to be used for machine tending. Calling Universal Robots as the most important step forward in machine shop automation since the advent of CNC was a definite aim altogether. It is now the pallet changer as well as the bar feeder. At the Expo, SDMS will bring in the SDMS Machine Tending System. It will consist of the UR10e cobot arm, SDMS’s robot interface system, and specially-designed robot mount. Often, manufacturers need help to get started. With cobot automation, they can become autonomous and do DIY projects easily. This is the goal for UR CSI Revtech Systems, which included the launch of the new CNC Loader Revflex at the Expo. On the other side, Brian Knopp, general manager of UR CSI ProCobots, emphasizes that buying a standardized machine tending system eliminates the mystery and misery of work manufacturers face during navigating a fragmented market of cobot products and accessories. Therefore, this will be showcasing practical CNC machine automation solutions of the company with UR cobots. Besides, with the UR+ platform, Universal Robots also launched the industry’s most comprehensive ecosystem of products. These are certified to incorporate with UR cobots seamlessly. Many UR+ partners at the Expo will also display new machine tending that is related to UR+ products and Application Kits. Among them is Robotiq. It will launch the CNC machine tending kit at the same time. Adam Schmidt, Director of Sales for Americas in Robotiq will also present the "8 Key Learnings in CNC Machine Tending Cell Deployment from 13 Years of Experience," at the Expo. The company’s Expo will feature solutions and products. On a similar note, Robotiq will also provide to simplify the design and programming of a CNC machine tending cell deployment. Manufacturers visiting UR+ partner New Scale Robotics’ Expo booth will find out the outstanding benefits of enhanced machine tending with real-time part measurement. Cobots are Always Monitored Functional cobots can show a new set of programming and logistical complexities. UR+ partner Flexxbotics’ mission has the aim to free robots from being fixed in place. At the Expo, Flexxbotics will also present attendees about the Flexx Connect product platform. And how it provides localization and communication tools to redeploy UR cobots on multiple jobs and stations. Also, how it will drive the utilization rate of the robot while reducing the time to achieve a positive ROI. Apart from this, remotely cobot monitoring is also another key to machine uptime. In the live demo, UR OEM partner Hirebotics will present the usage of the company’s software platform, and how Beacon will allow manufacturers to fully monitor the capabilities by cloud-connecting their cobots through a smartphone app. Through this, manufacturers will get real-time access to program variables, IO, and log files and would receive alerts whenever production is down. About Universal Robots Universal Robots (UR), founded in 2005 is known for making robot technology accessible to all. The technology is accessible by developing user-friendly, small, and reasonably priced. The flexible collaborative robots (cobots) can be safe to work side by side with the intervention of people. Since the first cobot that got launched in 2008, the company has experienced significant growth with the user-friendly cobot now worldwide. The company as a part of Teradyne Inc. is headquartered in Odense, Denmark. It has regional offices in Germany, the United States, Spain, France, UK, Italy, Poland, Czech Republic, Romania, Hungary, Turkey, Russia, India, China, Japan, Singapore, Taiwan, South Korea, and Mexico.

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DeepHow’s AI Solution for Skilled Trades Training will Bring AI-Powered Video Training Solution for Companies

DeepHow | March 19, 2021

DeepHow, the AI company, has officially launched the AI-powered training platform that is created for manufacturers and field service teams. With this, DeepHow is now making this comprehensive training system widely available to businesses looking to bridge their skill gaps. They can use DeepHow to capture, manage, and spread skills efficiently. On this, the company said that "our innovative solution, AI Stephanie, streamlines know-how capturing and knowledge transfer, delivering more than 10x time-saving opportunities, 25% performance improvement, and excellent user experience. This new platform will help companies to retain organizational knowledge and accelerate industry 4.0 initiatives. Adding to it, Dr. Sam Zheng, CEO, and co-founder of DeepHow, said that in-house production of one minute of training videos would take about one hour and costs around the range of $500 to $1,000. That's why, despite its apparent benefits, video training has been a scalable training solution." The companies that implement DeepHow will overcome their skills gap and maximize training success and reduce training costs. Factory workers and tradespeople who use DeepHow can get hold of new skills while reducing their training time by 40% and increasing manufacturing productivity.

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LandingLens to Help Manufacturers Build and Deploy Visual Inspection Systems Using AI

Landing AI | October 22, 2020

As organizations manufacture goods, human inspectors survey them for abandons. Think about a scratch on cell phone glass or a shortcoming in crude steel that could have an effect downstream when it gets transformed into something different. Landing AI, the organization began by previous Google and Baidu AI master Andrew Ng, needs to utilize AI innovation to recognize these imperfections, and today the organization dispatched another visual investigation stage called LandingLens. “We’re announcing LandingLens, which is an end-to-end visual inspection platform to help manufacturers build and deploy visual inspection systems [using AI],” Ng told TechCrunch. He says the company’s goal is to bring AI to manufacturing companies, but he couldn’t simply repackage what he had learned at Google and Baidu, partly because it involved a different set of consumer use cases, and partly because there is just much less data to work with in a manufacturing setting. Adding to the level of trouble here, each setting is novel, and there is no standard playbook you can fundamentally apply over every vertical. This implied Landing AI needed to concoct an overall toolbox that each organization could use for the extraordinary necessities of their manufacturing process. Ng says to place this trend-setting innovation under the control of these clients and apply AI to visual investigation, his organization has made a visual interface where organizations can work through a characterized cycle to train models to see every client's assessment needs. The manner in which it works is you take pictures of what a decent completed item resembles, and what a damaged item could resemble. It's not as simple as it would sound, since human specialists can differ over what comprises a deformity. The producer makes what's known as an imperfection book, where the examiner specialists cooperate to figure out what that deformity resembles through an image, and resolve contradictions when they occur. This is done through the LandingLens interface. Whenever investigators have settled upon a lot of marks, they can start emphasizing on a model in the Model Iteration Module, where the organization can train and run models to get to a condition of settled upon progress where the AI is getting the imperfections consistently. As clients run these tests, the product creates a report on the condition of the model, and clients can refine the models varying dependent on the data in the report. Ng says that his company is trying to bring in sophisticated software to help solve a big problem for manufacturing customers. “The bottleneck [for them] is building the deep learning algorithm, really the machine learning software. They can take the picture and render judgment as to whether this part is okay, or whether it is defective, and that’s what our platform helps with,” he said. He thinks this technology could ultimately help recast how goods are manufactured in the future. “I think deep learning is poised to transform how inspection is done, which is really the key step. Inspection is really the last line of defense against quality defects in manufacturing. So I’m excited to release this platform to help manufacturers do inspections more accurately,” he said.

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