The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Filter
Locations
Result types
Type of company
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Lock keywords
Exclude keywords
Optional keywords
Warwick, United Kingdom
51-100 Employees
1978
Lanner has been working with visionary companies since its inception in 1996, deploying predictive simulation capabilities and model assets that support decision making and enable smart business processes that best balance service delivery and cost. In January 2019, Lanner was acquired by Royal HaskoningDHV, a Dutch Engineering and Project Management consultancy, as part of their strategy to expand their digital capabilities and offer clients greater support when making critical business decisions. Lanner’s WITNESS software provides optimisation capabilities, together with scenario management functionality. From inception, Lanner has been seen as a visionary, through our leading predictive simulation technology and for the innovative assets delivered to our ambitious customers. Our mission has been consistent - to enable smart dynamic businesses with smart dynamic processes. We are neither a software nor a consulting company. Lanner was formed by a management buyout from AT&T in 1996, and is now recognised as the world's leading predictive simulation and optimisation technology company. Our mission remains to pioneer predictive simulation, empowering people to create a better future for their business through smarter decision making.
+
Featured
Predictive Digital Twin & Simulation Software
... Register now for our upcoming webinar to discover how to maximise ROI using Predictive Digital Twins. ...
Pune, India
11-50 Employees
2019
We are the sole India partner of the Lanner Group (UK), who are dedicated to enabling Indian industries & the professional education sector with its technology to improve operations & service quality to exceed global standards. Nivid offers exclusive training in Business Process Analysis & a variety of Data Driven Decision Support Solutions that use Simulation to allow decision makers to analyse their processes/ systems & streamline processes to maximize customer satisfaction & profits. We are the only Master Franchise for Authorised Training Centres for the simulation software WITNESS Horizon from the Lanner Group and are fully authorised to appoint franchisees across the country of India. We host a network of consultants & simulation experts who provide solutions using Lanner’s Simulation Tools, especially WITNESS Horizon. We’re passionate about connecting people to their business, its data and processes, empowering them to make smarter choices for a better future. Real time visibility into business processes provides the insight needed for agile business planning. Simulation provides analysis of existing operations so that costs and performance can be optimised. Industry 4.0 is the cutting edge of automation, data exchange and digitisation of businesses in the modern era.
+
Featured
Predictive Digital Twin & Simulation Software
... Predictive Digital Twin & Simulation ...
Rio de Janeiro, Brazil
11-50 Employees
2000
Since then, PhDsoft has leaded on the Predictive Digital Twin technology. Nonetheless, PhDsoft is committed to consistently deliver proven technology and develop new specialized features tailored to our clients needs. PhDsoft believes that the results from commitment, creativity, and innovation are empowered by the happiness of our employees, partners and clients. PhDsoft was incorporated as business in the USA headquartered in Houston, Texas and joined Houston Technology Center (Technology Incubator). Our flagship product, PhDC4D®, stands alone as a robust and proven solution that accurately predicts the degradation and corrosion of complex assets over time. The company was founded under the name “Engesoftware” The Ministry of Science, Technology and Innovation of Brazil presented the Certificate of Technology and Innovation to “Engesoftware” Company name changed to PhDsoft. After winning the 2017 INNO-CHINA Entrepreneurship Competition in Houston, PhDsoft was invited to participate on the final round of the 2017 INNO-CHINA Entrepreneurship Competition in Jiading, Shanghai on June 28, 2017. PhDC4D® Smart Digital Twin is much more than a 3D repository of information, provides a smooth digital transformation of the maintenance process, enabling full automation of the engineering activities.
+
Featured
PhDC4D® is a Predictive Digital Twin specialized on the integrity and maintenance management of critical assets.
... PhDC4D® is a Predictive Digital Twin specialized on the integrity and maintenance management of critical assets. ...
Munich, Germany
11-50 Employees
2004
In every case, you want to quickly plan, deploy and optimize your production logistics.
+
Featured
The Digital Twin for Predictive Material Handling
... The Leading Predictive Digital Twin Solution for Robotic Logistics ...
Birmingham, United Kingdom
1-10 Employees
1992
Our goal is to make the complex understandable, so that business and manufacturing decisions can be made quickly and with confidence. Since 1992 some of the world’s largest companies have trusted Paragon Simulation to guide their business, including Airbus, BAA, Bentley, Jaguar Land Rover, Nissan, Perkins, Ibstock Brick and Xerox. Vinod has delivered simulation and business solutions to Sellafield Ltd, Nexia Solutions, Yell, BBC, Friends Provident, Ibstock, Wedgwood, IMI, Motorola, FDI, London Transport, WBCSD, Wardell-Armstrong International (WAI) and Infinis. Neil has been responsible for delivering complex business models and analytics that have delivered ground-breaking commercial results. Neil is passionate about creating meaningful, revealing and engaging information to help decision-makers find the best way to set-up and run their business critical processes. Neil has a degree in Manufacturing Engineering and Management from Loughborough University, and a Masters in Operational Research from the University of Birmingham. Paragon Simulation is one of the UK’s leading digital twin and predictive simulation modelling consultancies.
+
Featured
Digital twins and predictive simulation to optimise business performance
... We are a leading digital twin and predictive simulation consultancy working with brands at the forefront of the automotive, aerospace, energy, financial and public sectors. ...
Zurich, Switzerland
1-10 Employees
Smart Factory Prozess Automation in Produktion / Intralogistik / Verlad. Digitalisierung in Produktion und After-Sales @ KatadynAnforderungsanalyse, Anwendungsfall Priorisierung und Grobkonzept sowie Evaluation technischer Lösungsvarianten und Anbieter zur Digitalisierung von Produkten und Produktion; Vorbereitung zur Umsetzung auf Basis Low-/No-Code Cloud Plattform und GS1 Digital Link mit QR Code und SGTIN (Serialized Global Trade Item Number), Details. Kennzeichnung und Digitalisierung in Bauwesen & UnterhaltProof-of-Concept standardisierte GS1 Produkt Kennzeichnung in Bauwesen & Unterhalt sowie Chancen und Vorgehen zur gleichzeitigen Digitalisierung für Umsatzsteigerung und Kostenreduktion inkl.
+
Featured
iiotPro - iiotPro erfolgreiche Umsetzung Ihrer IoT / Industrie 4.0 Digitalisierungs-Idee
... Smart Factory, Digital Twin, Predictive Maintenance – nutzt Ihr Betrieb IoT und Industrie 4.0 für digitalisierte Prozesse und Services? Profitieren auch Sie von IoT Lösungen und dem durchschnittlichen Payback bereits im 2. Jahr: Erfahren Sie, warum Nutzen und nicht Technologie Treiber von ...
Singapur, Mexico
101-250 Employees
2020
Cerexio offers organisation-specific PLC and Instrumentation configuration services based on the unique technology demands. Cerexio Axon™ Real-time Message Broker Platform is the world’s first to build all real-time systems, distributed and microservice applications. Cerexio’s Unchallenged Advanced Manufacturing Experts Can Save Your Organisation from Meeting Financial, Managerial or Operational Threats! Cerexio’s Experienced Asset Technology Experts Will Help You Hone Your Skills in Making Success-guaranteed Asset Investment and Risk Mitigation Decisions. Optimise your Manufacturing Lines with The Finest Web and Mobile-based MES. Wield the power of smart automation to streamline and operationalise your Manufacturing Execution System at any scale. This technology is a centralised platform to aggregate, analyse and strategise multiple types of data journeys based on your organisation’s data dependency. Manufacturing is one whole domain which consists of different sub-elements.
+
Featured
Cerexio | Leading Industry 4.0 Solution Provider
... Our solutions: MES System, Predictive Maintenance, Data Analytics, Digital Twin, and more. ...
Linköping, Sweden
1-10 Employees
1941
Learn how IFS Cloud delivers intelligence and automation in a single platform and product across Field Service Management, ERP and EAM. From changing regulations to the march towards 5G, ensure your business is always ready to adapt to the new challenges in telecommunications. Learn how IFS Cloud automates the deployment of the functionalities you need, when you need them, using Kubernetes and containerization. Courses and training to reach full potential with IFS. IFS announces winners of the 2022 Partner of the Year Awards.
+
Featured
Predictive Service & Maintenance
... With advances in artificial intelligence, machine learning, IoT, and digital twins, predictive service & maintenance capabilities are now ready to be adopted. ...
New York, United States
501-1000 Employees
1980
EFESO Management Consultants is an international consulting group specialized in operations strategy and performance improvement. Each year, we deliver over 1,000 projects for clients across our 35 offices around the world, helping them achieve outstanding business outcomes, and sustainable change. At EFESO Management Consultants we work in tandem with organizations - at all levels, from boardroom to shopfloor to build momentum and ownership within customer companies. We deliver faster, tangible and more sustainable results while concurrently building our clients capabilities that bring competitive advantage. You’ll find we are remarkably supportive in two-way project participation and mentoring your teams. Headquartered in Germany, ROI-EFESO is EFESO’s Center of Excellence in Industry 4.0. Headquartered in Austria, TSETINIS-EFESO is EFESO’s Center of Excellence in product-based solutions and design to x, in particular in automotive, manufacturing. Headquartered in Austria, CZIPIN-EFESO, focuses on productivity improvement.
+
Featured
Digital Transformation
... Enabling predictive quality and predictive production through digital process twins ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Predictive Digital Twin
| Country with most fitting companies | United Kingdom |
| Amount of fitting manufacturers | 10 |
| Amount of suitable service providers | 7 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1941 |
| Youngest suiting company | 2020 |
A Predictive Digital Twin is an advanced simulation model that mirrors a real-world system or process in a virtual environment, integrating historical data, real-time inputs, and machine learning algorithms to forecast future states and performance. This innovative technology is pivotal in various sectors, including manufacturing, healthcare, and urban planning, by enabling decision-makers to predict outcomes, optimize operations, and mitigate potential risks before they materialize in the physical counterpart. By harnessing the power of predictive analytics, these digital twins offer a dynamic and continuously evolving tool that not only replicates the current conditions of their physical counterparts but also anticipates future challenges and opportunities. The impact of predictive digital twins is profound, as they facilitate a deeper understanding of complex systems, enhance operational efficiency, and drive innovation by providing insights that were previously inaccessible. This predictive capability transforms maintenance strategies from reactive to proactive, improves product design and development, and enables the creation of smarter, more resilient infrastructures. As such, predictive digital twins represent a significant leap forward in the digital transformation journey, offering a competitive edge to organizations that leverage their potential to foresee and adapt to the rapidly changing demands of their respective fields.
1. Enhanced Decision-Making
Predictive digital twins offer real-time data analysis, which enables businesses to make informed decisions quickly. This capability leads to better resource allocation, operational efficiency, and strategic planning, setting predictive digital twins apart from more static analytical models.
2. Improved Product Development
By simulating real-world conditions, predictive digital twins allow for the thorough testing of products in a virtual environment. This means potential issues can be identified and addressed early in the development process, significantly reducing the time and cost associated with physical prototypes.
3. Proactive Maintenance and Downtime Reduction
Predictive digital twins can forecast equipment failures before they happen by analyzing data trends over time. This proactive approach to maintenance helps in scheduling repairs at convenient times, thereby minimizing unplanned downtime and extending the lifespan of machinery.
4. Customization and Flexibility
These systems can be tailored to specific industry needs, providing a level of customization that traditional models cannot match. The flexibility of predictive digital twins allows businesses to adapt quickly to market changes or operational challenges, ensuring they remain competitive.
While evaluating the different suppliers make sure to check the following criteria:
1. Technical Expertise and Experience
Ensure the supplier has a strong background in developing predictive digital twins, with a portfolio that demonstrates successful implementations in your industry.
2. Integration Capabilities
Check for the ability to easily integrate the digital twin with existing systems and platforms within your organization, ensuring seamless data flow and interoperability.
3. Scalability
Consider whether the solution can scale in line with your business growth and complexity, supporting more detailed simulations and larger datasets.
4. Customization
The supplier should offer customizable solutions that can be tailored to meet your specific business needs and objectives.
5. Support and Maintenance
Look for providers that offer comprehensive support and maintenance services to ensure the long-term reliability and performance of the digital twin.
6. Data Security
Confirm that the supplier has robust data security measures in place to protect sensitive information and comply with relevant regulations.
Predictive digital twins are revolutionizing the manufacturing industry by enabling companies to create highly accurate simulations of their production lines. This technology allows businesses to predict potential breakdowns and inefficiencies, optimizing operations and reducing downtime. By simulating different scenarios, manufacturers can foresee the effects of changes in the production process, leading to improved product quality and faster time to market. In the realm of construction and infrastructure, predictive digital twins offer a groundbreaking approach to project management and maintenance. They provide a dynamic model of buildings or infrastructure projects, incorporating real-time data to predict wear and tear over time. This capability helps in planning maintenance more effectively, ensuring longevity and safety while minimizing costs. Stakeholders can visualize the impact of environmental changes and usage patterns on structures, facilitating smarter decision-making. Energy sector companies leverage predictive digital twins to enhance the performance and maintenance of renewable energy assets such as wind turbines and solar panels. By creating virtual replicas that simulate real-world conditions, operators can identify potential failures before they occur and schedule preventative maintenance. This use case not only maximizes energy output but also extends the lifespan of assets, ensuring sustainable and efficient energy production. In the automotive industry, predictive digital twins are instrumental in the design and testing phase of vehicle manufacturing. Automakers use these virtual models to simulate wear and tear under various conditions, enabling them to predict how new vehicles will perform over time. This insight allows for the optimization of designs for durability and reliability, significantly reducing the need for physical prototypes and accelerating the development process.
Predictive Digital Twin technology, an advanced simulation model that mirrors a physical object to predict future behavior and performance, is presently evaluated at a Technology Readiness Level (TRL) of approximately 4 to 6. This assessment is based on its current development phase, where the technology has been validated in a laboratory environment (TRL 4), and initial integration and testing in relevant environments (TRL 5 and 6) have been initiated. The positioning within this mid-range TRL spectrum is due to several technical reasons. Firstly, while the foundational algorithms and computational frameworks have been established, their application to complex, real-world scenarios is still under rigorous testing to ensure accuracy and reliability. The creation of a predictive digital twin requires sophisticated data analytics, machine learning models, and IoT integration, which are areas of ongoing research and development. Additionally, challenges related to data security, privacy, and the vast amounts of data needed for precise modeling further complicate the transition to higher TRLs. Despite these hurdles, the technology shows promising potential in industries such as manufacturing, healthcare, and urban planning, where it can lead to significant advancements in predictive maintenance, personalized medicine, and sustainable city development, respectively.
In the Short-Term, advancements in predictive digital twin technology will likely focus on enhancing real-time data analysis and integration capabilities. This phase will see significant improvements in IoT connectivity, allowing for more accurate and immediate reflections of physical assets in their digital counterparts. The development of more sophisticated algorithms for predictive analytics will also be a key feature, enabling businesses to anticipate maintenance needs and operational adjustments more effectively. The Mid-Term phase will witness the expansion of predictive digital twin applications beyond manufacturing and into sectors like healthcare, urban planning, and energy management. This period will be marked by the integration of artificial intelligence and machine learning technologies, making digital twins more autonomous in identifying patterns, suggesting optimizations, and even implementing changes in real-time. Enhanced simulation models will provide deeper insights into complex systems, facilitating better decision-making and strategic planning. In the Long-Term, predictive digital twin technology is expected to revolutionize the concept of smart cities and ecosystems, enabling fully interconnected environments that optimize themselves for efficiency, sustainability, and human convenience. Advancements in quantum computing could further elevate the processing capabilities required for managing the vast amounts of data generated by these digital twins. This era will likely introduce the capability for predictive digital twins to autonomously evolve based on predictive analytics, shaping a future where digital and physical spaces are seamlessly integrated for optimal performance.
