Browse Topic: Suppliers

Items (10,300)
Autonomous negotiation systems, powered by artificial intelligence, are transforming supply chain management by optimizing supplier interactions. This paper proposes a framework for autonomous supplier negotiation using Statistical hypothesis testing to evaluate multiple negotiation strategies under uncertain conditions. Paper models supplier price negotiations with Random simulations, incorporating supplier cost variability and negotiation dynamics. Three strategies—distributive, integrative, and hybrid—are tested across diverse scenarios, with performance measured by negotiated price outcomes. Statistical hypothesis testing is applied to compare strategy effectiveness, identifying the hybrid approach as optimal for balancing cost savings and supplier relationships. The framework offers actionable insights into implementing autonomous negotiation systems in procurement as Agents negotiating with suppliers.
Panda, Dinesh Abhimanyu
In today’s competitive landscape, industries are relying heavily on the use of warranty data analytics techniques to manage and improve warranty performance. Warranty analytics is important since it provides valuable insights into product quality and reliability. It must be noted here that by systematically looking into warranty claims and related information, industries can identify patterns and trends that indicate potential issues with the products. This analysis helps in early detection of defects, enabling timely corrective actions that improve product performance and customer satisfaction. This paper introduces a comprehensive framework that combines conventional methods with advanced machine learning techniques to provide a multifaceted perspective on warranty data. The methodology leverages historical warranty claims and product usage data to predict failure patterns & identify root causes. By integrating these diverse methods, the framework offers a more accurate and holistic
Quadri, Danishuddin S.F.Soma, Nagaraju
This paper introduces a comprehensive solution for predictive maintenance, utilizing statistical data and analytics. The proposed Service Planner feature offers customers real-time insights into the health of machine or vehicle parts and their replacement schedules. By referencing data from service stations and manufacturer advisories, the Service Planner assesses the current health and estimated lifespan of parts based on metrics such as days, engine hours, kilometers, and statistical data. This approach integrates predictive analytics, cost estimation, and service planning to reduce unplanned downtime and improve maintenance budgeting, aligning with SAE expectations for review-ready manuscripts. The user interface displays current part health, replacement due dates, and estimated replacement costs. For example, if air filter replacement is recommended every six months, the solution uses manufacturer advisories to estimate the remaining life of the air filter in terms of days or
Chaudhari, Hemant Ashok
This paper introduces an AI-powered mobile application designed to enhance vehicle warranty management through real-time diagnostics, predictive maintenance, and personalized support. The system supports multi-modal inputs (text, voice, image, video), integrates real-time On-Board Diagnostics (OBD) data, and accesses OEM warranty terms via secure APIs. It employs supervised, unsupervised, and reinforcement learning to deliver accurate fault detection, tailored recommendations, and automated claim decisions. Contextual analysis and continuous learning improve precision over time. The application also provides service cost estimates, part availability, and proactive maintenance alerts. This approach improves customer satisfaction, reduces warranty costs, and streamlines aftersales support. Utilizing advanced AI and machine learning algorithms, the application interprets customer queries through multiple input modes—text, voice, video, and image—and retrieves relevant information from the
Ramekar, Vedant MadhavChaudhari, Hemant
The Operator’s Field of Vision (FOV) test, conducted in accordance with IS/ISO 5006:2017, is a vital assessment to ensure the safety and operational comfort of personnel operating Construction Equipment Vehicles (CEVs) / Earth-Moving Machinery. IS/ ISO 5006:2017 defines rigorous guidelines for evaluating the operator’s visibility from the driver's seat, with particular emphasis on the Filament Position Centre Point (FPCP), determined from the Seat Index Point (SIP) coordinates. The test includes assessment of masking areas, focusing on the Visibility Test Circle (a 24-meter diameter ground-level circle around the machine), and on the Rectangular Boundary on which a vertical test object is placed at a height specific to the machine type and its operating mass. These parameters are designed to simulate real-world operating conditions. This paper introduces a portable testing setup developed specifically for conducting the Operator’s FOV test as per IS/ISO 5006:2017. The setup facilitates
Ghodke, Dhananjay SunilTambolkar, Sonali AmeyaBelavadi Venkataramaiah, Shamsundara
The high rate of structural changes to the North American Light Vehicle market demands a new approach by the supply base towards strategic planning. A new Supplier Strategy Playbook is in order. First, some historical perspective. For the last several decades, suppliers grew accustomed to a product cadence of approximately five years between all-new platforms and major revisions. In North America, we were constantly pressed to continue improving vehicle efficiency and reduce emissions. Improved powertrain efficiency, vehicle lightweighting, and the advent of enhanced aerodynamics helped an industry that required constant innovation. Additionally, many programs were global in scope, requiring production and tooling in the major regions to launch in close sequence with global scale in tow. Wash, Rinse, Repeat. The textbook for suppliers was complex, though relatively predictable.
Celebrating its 35th year, the National Aerospace Defense Contractors Accreditation Program (Nadcap) continues to advance quality assurance and regulatory compliance for aviation, defense, and space OEMs and suppliers. This article summarizes how Nadcap accreditation works, its benefits for manufacturers, and its role in expanding additive manufacturing through industry-wide consensus. The Nadcap program was first established in 1990 by a small group of aerospace and defense OEMs. Their goal was to create an accreditation initiative that provides a common approach to auditing the manufacturing and production processes used by companies supplying parts, components, structures, and services to major aerospace and defense OEMs. This foundation set the stage for Nadcap's continued focus on quality assurance and regulatory compliance in the industry.
This paper investigates the portability of custom embedded Real-Time Operating System images. The limitations of these images, including vendor-locking, are addressed through the use of VirtIO. We create a series of experiments demonstrating the compatibility of VirtIO with different processors, peripherals, OS vendors, image environments, and processor updates in line with the Department of Defense’s open standards such as MOSA. The experiments reveal that VirtIO-enabled systems can easily migrate between processors and Operating Systems without the need for new drivers, eliminating vendor-locking and increasing system adaptability.
Studer, NathanGuikema, ChristopherSpidle, EricLarson, Aaron
While the Department of Defense’s transition to model-based deliverables promises numerous benefits, it presents a formidable challenge for acquisition program offices struggling to acquire the requisite skill sets. A critical deficiency in experience with Systems Modeling Languages (e.g., SysML) and essential modeling tools (e.g., Cameo Systems Modeler) has resulted in a preference for traditional document-based deliverables. This paper explores how Model-Based Systems Engineers can address this gap by leveraging data-driven insights to support design reviews and enhance stakeholder communication. To overcome the challenge of limited Model-Based Systems Engineering expertise, we introduce a model-based design review tool that simplifies complex vendor system architecture models, making the information readily usable for Subject Matter Experts. The tool’s ”indirect commenting method” and heuristics facilitate effective model evaluation and increase confidence in vendor designs beyond
Connor, ZacharyScheithauer, SarahKoduru, RohithNardone, TannerLambert, Patrick
With the introduction of the Euro 7 regulation, non-exhaust emissions – particularly those arising from brake and tire abrasion – will be regulated and subject to emission limits for the first time. This presents significant challenges not only for OEMs striving to meet these targets within the given timeframe, but also for suppliers, who must develop innovative solutions for the precise measurement, analysis, and mitigation of these emissions. To address this, it is essential to establish and industrialize new testing methodologies as structured, scalable, and cost-efficient processes. Beyond pure measurement capability, service providers in this domain are increasingly expected to serve as feedback mechanisms – identifying process limitations, proposing targeted improvements, and thereby enabling continuous development in line with evolving technical and regulatory requirements. In this context, AVL is pursuing a holistic development strategy that integrates brake emission
Grojer, Bernd
Li-ion battery performance is highly dependent on the electrode materials. The composition of the negative and positive electrodes influences crucial aspects of the Li-ion cell, including energy density, ageing behavior and thermal stability. Recent Li-ion technologies include the use of composite graphite-silicon negative electrodes to improve the energy storage capacity of the otherwise graphite-only negative electrode. This article evaluates the impact of negative electrode composition (standard graphite vs. Si-Gr) on the performance of two recent technologies of Li-ion batteries from the same manufacturer, focusing on electrical performance and safety behavior. The studied technologies are the LG M50LT and LG M58T, the latest one introducing a considerable increase of capacity, passing from 4.80 to 5.65 in nominal capacity. This article abords the comparison of both technologies in electric performance, electrode composition, cell design and thermal stability. Electrical
Cruz Rodriguez, Jesus ArmandoLecompte, MatthieuRedondo-Iglesias, EduardoPelissier, SergeAbada, Sara
September is unofficially known in the industry as a key forecasting month. It's when several suppliers lock in their revenue forecasts for the next year. As we approach 2026, there are still several balls in the air with respect to the trajectory of the light vehicle market. Looming U.S. tariffs, negative economic and geo-political shifts, and the impact of changes to U.S. vehicle emission legislation have all brought with them a cloud of uncertainty that hovers over the industry. An industry that requires greater planning clarity, not less. Let's start with the tariffs. As of this writing, the major vehicle and parts importers outside of North America have agreed to 15% U.S. tariffs for vehicles and parts. In the case of Japan and the European Union, this is 12.5 percentage points higher than 2024 levels. In the case of South Korea, it's 15 points more, as there was a free trade agreement in force. While these framework agreements drive some level of certainty, the final details
Bosch bolstered its 3D printing capabilities when it added a new metal 3D printer at its Nuremberg, Germany, plant earlier this year. The NXG XII 600 metal 3D printer from Nikon SLM Solutions met the supplier's need - the need for speed - as well as the non-Top Gun-related precision, flexibility and energy efficiency when manufacturing complex metal parts for its in-house and third-party customers. The Nuremberg plant invested nearly six million euros in the center, including the purchase and installation of the new metal 3D printer. Bosch claims to be the first Tier 1 automotive supplier in Europe to have a facility in this performance class.
Gehm, Ryan
Suppliers are learning several new and unwelcome lessons as the dynamics surrounding U.S. light vehicle trade and emissions legislation quickly shifts. Two major issues are at play here. As the industry continues to feel the impact of reduced or eliminated battery electric vehicle incentives in several North American and European jurisdictions and governments are retrenching on light vehicle emissions legislation - OEMs are questioning the size of the near- and mid-term market. Similarly, as of this writing, the saga surrounding future vehicle and parts tariffs between the U.S. and its major automotive trading partners continues. This unfortunate combination has driven OEMs to delay, extend and rescope future product programs. This jams a stick in the financial spokes of the supply base. Some context is in order. Like clockwork, in the highly competitive global light vehicle market, our industry was trained to expect a regular cadence for product renewals and product cycles. The
In the pursuit of customizability and evolvability of vehicle functions, manufacturers shift towards software-defined vehicles to enable flexible customization and over-the-air updates. This results in multiple variants and versions of a vehicle model. While shifting to software-defined vehicles (SDVs) adds value and flexibility for customers, manufacturers struggle with homologating new and updated functionality because existing testing processes do not scale for high-frequency release cycles that limit available testing resources. Overcoming this challenge by using a coherent test process designed for testing continuously evolving variant-rich systems will be one of the key enablers. This paper presents an innovative end-to-end pipeline for efficient and comprehensive testing of variant-rich vehicle functionality tailored to an application in continuous development. Our transferable test pipeline employs sample-based variant selection, a software-in-the-loop environment for executing
Hettich, LennardPett, TobiasNägele, Ann-ThereseSchindewolf, MarcEriş, HalitWagner, StefanSax, EricSchaefer, InaWeyrich, Michael
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
While new sustainability efforts aim to curb the carbon footprint of the commercial vehicle industry, old methods continue to be among the most effective. Sustainability has been among the hottest topics for the commercial vehicle industry over the past decade. OEMs, suppliers and various governmental agencies across the globe are touting new advances in clean powertrain tech that reduces the industry's dependence on fossil fuel while also considering the complete carbon footprint of the vehicle from cradle to grave. Though these initiatives have their merits, there are old-school methods of reducing the environmental impact of keeping the world moving. Remanufacturing is decidedly not the sexiest of methods for promoting the concept of sustainability. But recycling existing materials and components is a proven tactic for reducing waste and energy consumption.
Wolfe, Matt
April saw two major tradeshows take place, playing host to numerous advanced vehicle and technology reveals from global OEMs and suppliers - some of which are detailed in these pages. Bauma in Munich, Germany, a leading trade fair for the construction and mining vehicle industries, saw around 600,000 visitors from more than 200 countries and regions, as well as over 3,600 exhibitors from 57 nations. Billed as the largest advanced CV technology show, ACT Expo engaged more than 12,000 stakeholders from at least 54 countries, including over 2,700 fleet operators. But just as present as the technology itself at these shows was the ongoing uncertainty stemming from the Trump administration's volatile trade policy announced on April 2 involving steep tariffs that have been adjusted frequently in the ensuing weeks.
Gehm, Ryan
Much has been written about the challenging operating environment within the North American automotive ecosystem. Suppliers and OEMs alike were never trained in business school or past experiences for the erratic trade and legislative environment that they face today. Since late 2019 and a multi-week strike by the UAW against GM, there has been calamity after calamity impacting our industry. These include the impact of COVID on supply and demand, chip availability, labor shortages, inflation impacts and erratic trade actions that have all suppressed revenue and profits. There is one obvious dynamic impacting the industry: the lack of a stable, expected trade environment is critical to our long-term viability.
When we last heard from MELD Manufacturing, the large-scale 3D printer supplier was taking first place in the Robotics/Automation/Manufacturing category at the 2018 .
Wheel Force Transducers (WFT) are precise and accurate measurement devices that seamlessly integrate into any vehicle. They can be applied in numerous vehicle applications for both on-road and in laboratory settings. The instrumentation requires replacing an original equipment manufacturer (OEM) wheel with a custom WFT system which is specific to the wheel hub design. An ideal design will minimally impact a vehicle's dynamics, but the vehicle system is inherently modified from the mass of the measurement device. Research and technical documentation have been published which provide conclusions explaining reduction in the unsprung mass reduces dynamic wheel load. However, there doesn’t appear to be clear compensation techniques for how a modified unsprung mass can be related to the original system, thus allowing the WFT signals to be more accurate to the OEM wheel forces. An experimental study was performed on a prototype motorcycle to better understand these differences. An
Frisco, JacobLarsen, WilliamRhudy, ScottOosting, NicholasLaurent, Matthew
As India’s economy expands and road infrastructure improves, the number of car owners is expected to grow substantially in the coming years. This market potential has intensified competition among original equipment manufacturers (OEMs) to position their products with a focus on cost efficiency while delivering a premium user experience. Noise and Vibration (NV) performance is a critical differentiator in conveying a vehicle's premiumness, and as such, NV engineers must strategically balance the achievement of optimal acoustic performance with constraints on cost, mass, and development timelines. Traditionally, NV package optimization occurs at the prototype or advanced prototype stage, relying heavily on physical testing, which increases both cost and time to market. Furthermore, late-stage design changes amplify these challenges. To address these issues, this paper proposes the integration of Hybrid Statistical Energy Analysis (HSEA) into the early stages of vehicle development
Rai, NiteshMehta, MakrandRavindran, Mugundaram
There is an increasing effort to reduce noise pollution across different industries worldwide. From a transportation standpoint, pass-by regulations aim to achieve this and have been implementing increasingly stricter emissions limits. Testing according to these standards is a requirement for homologation, but does little to help manufacturers understand why their vehicles may be failing to meet limits. Using a developed methodology such as Pass-by Source Path Contribution (SPC, also known as TPA) allows for identification of dominant contributors to the pass-by receivers along with corresponding acoustic source strengths. This approach is commonly used for passenger vehicles, but can be impractical for off-highway applications, where vehicles are often too large for most pass-by-suitable chassis dynamometers. A hybrid approach is thereby needed, where the same techniques and instrumentation used in the indoor test are applied to scenarios in an outdoor environment. This allows for
Freeman, ToddEngels, BretThuesen, Ben
The frequency and amplitude content of powertrain noise is motor torque and speed dependent and tends to influence the driver’s subjective perception of the vehicle. This provides manufacturers with an opportunity to drive product differentiation through consideration of powertrain noise in early stages of the development cycles for electric vehicles (EVs). This paper focuses on the evaluation of customer preference and perception of acoustic feedback from different powertrain design options based on targeted powertrain orders and expected wind and road masking during high acceleration maneuvers. A jury study is used to explore customer feedback to a two-stage gearbox design with AC permanent magnet motor order combinations. The subjective influence of order spacing, dominant frequency content and the number of audible orders is studied to understand aural perspective product differentiation opportunities.
Joodi, BenjaminJayakumar, VigneshConklin, ChrisPilz, FernandoIyengar, ShashankWeilnau, KelbyHodgkins, Jeffrey
This paper discusses a systematic process that was developed to evaluate the acoustic performance of a production dash system. In this case it is for an electric vehicle application. The production dash panel was tested under different configurations to understand the importance of passthroughs in the acoustics of the system. Results show that often the performance of the passthroughs strongly affects the overall performance of the dash system and this may become the limiting factor to increase the system sound transmission loss. To understand the acoustic strength of different passthroughs and their effects on the overall system, the dash with passthroughs underwent extensive testing. Subsequently, a test procedure using flat panels was developed to quantify the performance of individual passthroughs on a part level. This data can be used by the OEM to develop STL targets that can be considered in the grommet design early in the vehicle development process.
Saha, PranabBaack, GregoryGeissler, ChristianKaluvakota, SrikanthPilz, Fernando
Tires have a significant impact on vehicle road noise. The noise in 80~160Hz is easily felt when driving on rough roads and has a great relationship with the tire structural design. How to improve the problem through tire simulation has become an important issue. Therefore, this paper puts forward the concept of virtual tire tuning to optimize the noise. An appropriate tire model is crucial for road noise performance, and the CDtire (Comfort and Durability Tire) model was used in the article. After conducting experimental validation to get an accurate tire model, adjust the parameters and structure of the tire model to generate alternative model scenarios. The transfer function of the tire center was analyzed and set as the evaluation condition for tire NVH (Noise, vibration, and harshness) performance. This enabled a comparison among various model scenarios to identify the best-performing tire scenario in focused frequency whose transfer function needed to be lowest. Manufacture the
Zhang, BenYu Sr, JingChen, QimiaoLiu, XianchenGu, Perry
There is no need to recall how the electrification trend of transport facilities has tightened the requirements around acoustic comfort. Within the automotive industry, these targets are more challenging for Heating, Ventilation and Air Conditioning systems for which passengers are in the frontline of noise emissions inside the car cabin. The complexity of the requirements and specifications set by car manufacturers and suppliers stems from a dual aspect. First is quantitative based on the sound pressure level, whether it's the overall level or 1/3 octave band spectra. The second is purely subjective, based on the perceived noise quality by stakeholders and final customers worldwide. During development phases, low tonal noises are frequently encountered on these systems which might induce discomfort to the passengers. The experimental investigations usually point to an aerodynamic origin, which prompted this research activity. The purpose of this work is to analyze and understand the
Bennouna, SaadAlaoui, MohamedHenner, Manuel
At a time when medical technology is advancing rapidly, the demand for precision in manufacturing has never been greater. The medical device industry is pushing the boundaries of design, requiring components that are not only smaller and more intricate but also biocompatible, reliable, and capable of meeting stringent regulatory standards. To address these challenges, manufacturers are increasingly turning to photochemical etching (PCE) — a process that is proving indispensable in high-precision medical applications.
Manufacturers in all industries rely on networks of specialized suppliers to effectively source the components they need to serve their customers. Trust, reliability, and consistency are important — and for producers of medical devices, these qualities are especially critical, given the often life-saving nature of their end-use products.
This SAE Aerospace Standard (AS) establishes supplemental requirements for 9100 and 9145 and applies to any organization receiving it as part of a purchase order or other contractual document from a customer. AS13100 also provides details of the reference materials (RM13xxx) developed by the SAE G-22 AESQ committee and listed in Section 2 that can also be used by organizations in conjunction with this standard.
G-22 Aerospace Engine Supplier Quality (AESQ) Committee
Bendix® EC-80™ and certain EC-60™ ABS control units contain an event data recorder called the Bendix® Data Recorder (BDR). Raw BDR data is obtained using commercially available software, however, the translation of the raw data into an event report has only been performed by the manufacturer. In this paper, the raw data structures of the commercially available datasets are examined. It is demonstrated that the data follows uniform and repeatable patterns. The raw BDR data is converted into a conventional report and then validated against translation reports performed by the manufacturer. The techniques outlined in this research allow investigators to access and analyze BDR records independently of the manufacturer and in a way previously not possible.
DiSogra, MatthewHirsch, JeffreyYeakley, Adam
Perkins details range of development efforts to power future off-highway machines, from clean-sheet diesel to hybrid-electric and hydrogen combustion. Many manufacturers in the construction and mining vehicle sectors have tabbed the Bauma trade show in April as the venue for major product debuts. Perkins is one of those, though it provided select media an overview of its latest powertrain developments and projects at a pre-Bauma briefing in early February. Hydrogen and hybrids were a large part of the discussion at the London media event, but Perkins began the day expounding on good old diesel-engine development. The company's engineers are still working hard to strengthen - and streamline - its diesel portfolio, all while readying new platforms for other fuels and applications.
Gehm, Ryan
Los Angeles-based plastics contract manufacturer Kal Plastics deployed UR10e trimming cobot for a fraction of the cost and lead time of a CNC machine, cut trimming time nearly in half, and reduced late shipments to under one percent — all while improving employee safety and growth opportunities.
Mesekon Oy, a Finnish welding manufacturer that produces complex welded steel structures for the marine, energy, and paper industries, needed a flexible and collaborative solution to improve efficiency, reduce defects, and enhance workplace ergonomics by automating repetitive and physically demanding welding operations.
In an era where technological advancements are rapid and constant, the U.S. Army will need a more agile and efficient approach to modernizing systems on succeeding generations of Army vehicles. Legacy platforms like Abrams, Stryker, and Bradley vehicles use multiple mission computers tied to individual sensors that often required the addition of “boxes” to accommodate new capabilities, which could take years to deploy and drove sustainment costs up due to vendor lock. In addition, this antiquated approach doesn’t leverage data to converge effects across the formation in a multi-domain environment. Centralized, common computing as detailed in GCIA would help solve this problem, potentially linking all major subsystems and providing higher-speed processing to assess large datasets in real time with AI and ML algorithms. By using a common, open architecture computer, the Army will be able to rapidly integrate new capabilities inside one box, versus adding multiple boxes. This pivotal
Time Sensitive Networking (TSN) Ethernet is a real-time networking capability that is being developed by a growing number of embedded computing companies for the earliest stages of adoption by aerospace and defense manufacturers and their suppliers. According to the Institute of Electrical and Electronics Engineers (IEEE) TSN working group, it is a set of standards that provides deterministic connectivity within IEEE 802-aligned networks.
In an era where technological advancements are rapid and constant, the U.S. Army will need a more agile and efficient approach to modernizing systems on succeeding generations of Army vehicles. Legacy platforms like Abrams, Stryker, and Bradley vehicles use multiple mission computers tied to individual sensors that often required the addition of “boxes” to accommodate new capabilities, which could take years to deploy and drove sustainment costs up due to vendor lock. In addition, this antiquated approach doesn't leverage data to converge effects across the formation in a multi-domain environment. Centralized, common computing as detailed in GCIA would help solve this problem, potentially linking all major subsystems and providing higher-speed processing to assess large datasets in real time with AI and ML algorithms. By using a common, open architecture computer, the Army will be able to rapidly integrate new capabilities inside one box, versus adding multiple boxes. This pivotal
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