Browse Topic: Productivity
Wirtgen Group hosted select media at its training and technology center near Nashville to demonstrate the full road-building workflow - from milling and paving to compaction - and how connected machines, automation and real-time data are helping crews to work more efficiently. As part of John Deere's construction equipment portfolio, Wirtgen Group's specialized machinery combines with Deere's TechStack and digital fleet management technology to improve productivity, efficiency, safety and pavement quality. Wirtgen (rehabilitation), Vögele (paving) and Hamm (compaction) machines were in action for the roadbuilding demo. Other Group brands not demoed include Kleeman for crushers and screening plants for processing, and Benninghoven, which is not part of the portfolio in the U.S., for mixing and recycling plants.
In the conversation surrounding electrification, the vehicle itself typically dominates the headlines. But those operating on remote jobsites in the mining, construction and agriculture sectors know the machine is only half the equation. These industries prioritize reliability and uptime and require machines that can handle grueling shifts in demanding environments without compromise. Power providers in these heavy-duty, off-highway markets must move beyond the battery itself to explore a holistic approach to infrastructure when it comes to powering remote jobsites. The first step to success is understanding the fundamental differences between off-highway duty cycles and on-highway applications. While on-highway applications like long-hauling trucks benefit from steady-state operation and passive airflow for cooling, off-highway machines often operate at high torque for extended periods, with little to no forward movement. In these scenarios, there is no passive cooling to rely on or regular refueling stations at the next exit. Success, therefore, is defined by the engineering required to ensure that electric machines deliver the same productivity as diesel, even when operated at their limits in the most rugged, remote conditions.
Precision agriculture, also known as smart farming, was once reserved for early adopters or large-scale operations, but is now an expectation within the farming industry. Across various regions and farm sizes, smart farming techniques are changing the way crops are planted as well as how they are monitored and harvested. However, farmers today are under increasing pressure to reduce labor, decrease chemical inputs, conserve water and operate in tighter windows. Couple this with factors such as narrow seasonal windows, productivity demands and safety considerations, and the need for smarter decisions becomes imperative. Going one step further, global food demands and environmental pressures are further increasing demand for precise, accurate and intelligent farming solutions.
Moog Inc. introduced its new adaptive electrification management system (AEMS) at a press conference during CONEXPO 2026 in Las Vegas. Moog states that this system offers a path to electrify, automate and digitalize construction machinery more efficiently and cost-effectively. “End users in the off-highway market are demanding that their machines have higher productivity and a lower total cost of ownership,” said Dr. Nate Keller, Moog strategic business manager. “OEMs are working to solve this problem, and one of the particular ways is through electrification.”
The advanced construction equipment packing the convention center halls and surrounding lots will understandably be the stars of the triennial CONEXPO trade show, taking place March 3-7 in Las Vegas. But the latest technologies in fluid power and motion control that help those machines operate efficiently will also command attention from showgoers. The Bosch Rexroth mobile hydraulics team will be on-site in a joint booth with partner HydraForce (Booth S80245), showcasing their current product portfolio. Rafael Cardoso, Bosch Rexroth engineering manager, mobile systems and software, expects to have conversations about advanced control and automation, “focused on the demand for smarter, software-driven control strategies that enhance precision, productivity, downtime reduction and operator assistance features.”
The shift from batch to continuous bioprocessing is reshaping the way fluid handling systems are designed, specified, and validated in biopharmaceutical manufacturing. Continuous processing promises higher productivity, reduced footprint, and improved product consistency, but it also places new and sustained demands on every component in the fluid path. Among the most critical — and often underestimated — elements is peristaltic pump tubing.
Agrícola Cana Caiana and Grunner have developed an innovative vehicle for sugarcane harvesting, focused on reducing fuel consumption. This optimization is vital and relevant for similar operations in the largest global producers: Brazil (724 mi t - 37%), India (439 mi t - 22%), China (103 mi t - 5.3%), Thailand (92 mi t - 4.7%), Pakistan (88 mi t - 4.5%), Mexico (55 mi t - 2.8%), Colombia (35 mi t - 1.8%), Indonesia (32 mi t - 1.6%), USA (31 mi t - 1.6%), and Australia (28 mi t - 1.4%). In Brazil, São Paulo leads with 383.4 mi t (54.1% of the 23/24 harvest), followed by Minas Gerais (81.3 mi t). This innovative agricultural machinery, a result of the owners' experience, has already sold over a thousand units, proving its impact on the efficiency of the sugar-alcohol sector. The Belei family's expertise generated this solution that optimizes resources and increases harvesting productivity, with the potential to advance sustainability and profitability globally, driving agricultural innovation. High market acceptance reinforces this machine's relevance to cost and efficiency challenges, representing a promising example for a more efficient and sustainable agribusiness, with advanced technology for harvesting practices [1].
Finland-based Metos Oy, a manufacturer of professional stainless steel kitchen equipment, needed a welding solution that could deliver flawless, pressure-rated welds for small batches of high-spec products, which feature tubular structures and circular shafts that required continuous, precision welding.
The development of 3D game ready models is a critical component of the asset creation workflow in industries. However, traditional modeling techniques often demand extensive manual input, particularly in the areas of modeling, retopology, and texturing. To address challenges, we propose the integration of generative AI technologies into the 3D modeling workflow, aiming to enhance efficiency and streamline processes. This paper presents a comprehensive methodology that leverages advanced algorithms, machine learning techniques, and specialized software to automate repetitive tasks associated with 3D asset creation. By harnessing the power of generative AI, we aim to significantly reduce the manual effort required to produce high-quality 3D models, thereby accelerating the overall development timeline. The aim is to enter a prompt/Image as input to get a fully developed Model. Through a series of experimental implementations, we are aiming to demonstrate the effectiveness of our proposed framework in reducing development time without compromising quality. By automating the more tedious aspects of 3D modeling, professionals can focus on higher-level design decisions, fostering innovation and creativity. Moreover, we discuss the broader implications of adopting generative AI in the asset development workflow. The ability to streamline processes and improve productivity can transform how companies approach 3D asset creation, facilitating a more agile response to market demands and enhancing flexibility in project execution. As the industry continues to evolve, integrating these technologies could redefine standards in 3D modeling practices, paving the way for new opportunities and advancements in digital asset production. In conclusion, our research presents a pioneering approach to integrating generative AI into the 3D modeling workflow, with promising results that highlight its potential to revolutionize asset development processes. As the industry continues to evolve, embracing these technologies will be essential for maintaining a competitive edge and driving future advancements in the field of 3D design and production.
Large farms cultivating forage crops for the dairy and livestock sectors require high-quality, dense bales with substantial nutritional value. The storage of hay becomes essential during the colder winter months when grass growth and field conditions are unsuitable for animal grazing. Bale weight serves as a critical parameter for assessing field yields, managing inventory, and facilitating fair trade within the industry. The agricultural sector increasingly demands innovative solutions to enhance efficiency and productivity while minimizing the overhead costs associated with advanced systems. Recent weighing system solutions rely heavily on load cells mounted inside baling machines, adding extra costs, complexity and weight to the equipment. This paper addresses the need to mitigate these issues by implementing an advanced model-based weighing system that operates without the use of load cells, specifically designed for round baler machines. The weighing solution utilizes mathematical models and dynamic torque monitoring techniques to estimate the weight of bales immediately after the bale wrap process, before the bale is dropped onto the field. With the capability to function effectively in off-road conditions and diverse terrains, this system represents a substantial technological advancement that addresses the evolving challenges of modern agriculture. By demonstrating the potential of this design, the paper illustrates how advanced engineering solutions can enhance resource allocation, optimize feed management and distribution, support long-term planning, and contribute to the sustainability of agricultural practices without incurring additional costs. The weight of each bale can be used by farmers to analyze the current harvest based on bale weight variability and to make improvements before the next harvest. It also aids in key decision-making processes such as bale handling, transportation, sales and storage for future seasons. This advancement has significant advantages for scalability and profitability, allowing for optimized decision-making processes in agricultural operations.
Komatsu has announced a new swing machine designed to move large quantities of timber in log loader and millyard environments. The TimberPro TN785D is Komatsu's most powerful and highest capacity machine to date. According to Komatsu, it was built with proven components and new features to meet the demand of high productivity swing applications. “TimberPro has designed this machine to excel in high demand millyard applications where lift capacity, reach combined with stability and hydraulic response are key to maximizing productivity,” said Nathan Repp, product manager for Forest Products at Komatsu. “We understand the real-world demands our customers face in these environments, and the TN785D was designed to meet those needs.”
In this paper, we describe an innovative V&V approach using the SCADE product, enabling significant reduction of effort while preserving compliance with DO-178C/DO-331. This new approach relies on a unique capability: automatic generation of Low-Level Tests. Details about savings will be provided to show how we can reduce costs, speed up certifications, and bring products to the market faster. We will conclude by summarizing the actual benefits and describing ongoing work to bring other savings in the future.
Civil and military rotorcraft operators desire enhanced capabilities from their vehicles in terms of mission efficiency, effectiveness, productivity, and availability. A critical element of this challenge is associated with providing cold weather availability. Currently, cold weather operations are enabled by regulatory actions leading to Limited Approvals, Qualifications, Clearances, and Restrictions. Cold weather certification (clearance of a new aircraft) and continuing airworthiness (maintaining effectiveness of fielded aircraft) are data driven processes. This work provides guidance on an Icing Encounters Survey (IES) based data gathering method supporting continuing airworthiness organizations in improving fleet safety and capabilities during cold weather operations.
High productivity, low manufacturing costs, and high workpiece quality: these are the key factors that deliver sustainability, profitability, and competitive edge for industrial manufacturers. Reliable machine monitoring yields valuable real-time insights into ongoing processes; it is the basis for dependable, productive, and reproducible manufacturing and it helps machine operators to reach well-founded decisions on both short- and long-term improvements. This technology can even capture anomalies in highly dynamic machining processes, so users can respond instantly to ensure high productivity, decrease scrap rates, and prolong tool lifetimes. Thanks to all these advantages, continuous machine and process monitoring based on suitable sensor technology is a critical success factor in today’s manufacturing industry.
Today, advancements in industrial laser cleaning automation show great promise in boosting productivity and safety when rust and contaminant removal or surface preparation is required for higher volumes of components and equipment.
The integration of collaborative robots, or cobots, into manufacturing has revolutionized traditional processes, offering an unprecedented blend of precision, productivity, and safety. Known for their effectiveness in activities from palletizing to welding, cobots are emerging as invaluable assets for activities involving material removal like sanding, grinding and polishing, relieving human workers from arduous and risky tasks.
The concept of the vehicle has changed in accordance with the technological innovations on last decade. Today we can call these changes basically as "CASE" (Connected, Autonomous/Automated, Shared, and Electric). The ease of product access on the user side and the mass production related works have increased worldwide production volumes. This issue has resulted in a greater demand for manpower in the sector. In addition, management, productivity, and profitability related difficulties have occurred. In this project, improvements were made mainly around the productivity through the automation of "vehicle transfer operations in plant operations", which is one of a major problem and a manpower/hour consuming task. This system named as Remote-Control Auto Driving System (RCD). The advance technology used system enabling unmanned, secured operations, were implemented in mass production environment earlier than the rest of the world.
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