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항공우주 및 방위 시스템 엔지니어링을 위한 디지털 혁신
항공우주 및 방위 제조 프로젝트에서 발생하는 추가 시간과 비용의 30-70%는 통합 문제로 인해 발생합니다. 모든 다양한 시스템, 하위 시스템 및 컴포넌트들을 기존 프로세스와 통합하는 것은 엄청난 작업입니다.그래서 항공우주 및 방위 산업 기업들의 85%가 가까운 시일내로 시스템 엔지니어링을 위한 어떤 형태의 디지털 혁신을 구현할 계획이라고 말합니다.
항공우주 및 방위 시스템 엔지니어링을 위한 디지털 혁신 팁 #1
팁 #1 - 통합 프로세스를 도입해 제품 라이프사이클 전반에 걸쳐 지속적인 시스템 설계 검증 및 최적화를 수행합니다. 디지털 트렌스포메이션을 통해 통합 프로세스를 활용해 시스템 설계를 지속적으로 최적화합니다. Siemens Xcelerator는 귀사의 항공우주 시스템 엔지니어링 목표를 달성하는 데 어떠한 도움을 줄 수 있을까요?
항공우주 및 방위 시스템 엔지니어링을 위한 디지털 혁신 팁 #2 :
팁 #1 - 통합 프로세스를 도입해 제품 라이프사이클 전반에 걸쳐 지속적인 시스템 설계 검증 및 최적화를 수행합니다. 디지털 트렌스포메이션을 통해 통합 프로세스를 활용해 시스템 설계를 지속적으로 최적화합니다. Siemens Xcelerator는 귀사의 항공우주 시스템 엔지니어링 목표를 달성하는 데 어떠한 도움을 줄 수 있을까요?
항공우주 및 방위 시스템 엔지니어링을 위한 디지털 혁신 팁 #3
팁 #3 - 업계 최고 수준의 시뮬레이션을 활용해 기술 위험을 초기에 완화합니다. 디지털 트렌스포메이션을 통해 다중 도메인 시뮬레이션을 제품 전반에 걸쳐 시스템 아키텍처를 분석합니다. Siemens Xcelerator는 귀사의 항공우주 시스템 엔지니어링 목표를 달성하는 데 어떠한 도움을 줄 수 있을까요?
Q&A: 가상 조선소는 어떻게 구현할까요?
수익성을 유지하면서 점점 더 복잡해지고 기술이 풍부한 선박을 신속하게 건조하려면 어떻게 해야 할까요? 이 목표를 달성하려면 가상 조선소에 투자하는 것이 좋습니다. 이는 선제적인 조치로 이를 통해 시간과 비용을 절감하고 미래 성공을 위한 토대를 마련할 수 있습니다.
디지털 조선소로의 전환
효율, 지속성, 다양성을 요구하는 고객이 증가함에 따라 선박은 갈수록 더 복잡해지고 있습니다. 선박 제조업체가 현대식 선박을 건조하려면 건조 프로세스를 가장 혁신적인 설계에 맞게 조정해야 합니다. 또한 제조 프로세스에 더 많은 컴포넌트, 시스템, 파트너십을 통합해야 합니다. 이 모든 것은 매우 불안정한 시장에서 경쟁하는 동안에 발생하므로 프로젝트 지연, 비용 초과 및 품질 문제로 인해 다음 프로젝트가 위험에 처하거나 이미 감소된 수익 마진이 악화하거나 조선소 전체가 폐업될 수 있습니다.
조선 분야의 협업 강화로 선박 건조 개선
협업은 글로벌 환경에서 시간과 예산 범위 내에서 규정을 준수하는 고도로 복잡한 선박을 생산하는 데 핵심입니다. @hat 최고의 협업을 보장하기 위해 노력하고 계신가요?
Digital ship construction: Executive brief
Stricter environmental/safety regulations and increasingly customized functional requirements have been driving the demand for more complex vessels. This wave of complexity is hitting the shop floor just as increased competition and rising economic uncertainty are forcing shipyards to reduce their production costs and time-to-market. Shipyards must deliver on spec, on time, and on budget. How can shipbuilders keep reducing production costs without compromising quality? Digital ship construction software enables shipbuilders to leverage digital twin technology.
Trends and challenges for ship construction
Stricter environmental/safety regulations and increasingly customized functional requirements have been driving the demand for more complex vessels. This wave of complexity is hitting the shop floor just as increased competition and rising economic uncertainty are forcing shipyards to reduce their production costs and time-to-market. Shipyards must deliver on spec, on time, and on budget. How can shipbuilders keep reducing production costs without compromising quality? Digital ship construction software enables shipbuilders to leverage digital twin technology.
선박 건조를 위한 디지털 제조 성공의 6가지 핵심 요소
현재는 물론 미래의 환경에서 번창하고자 하는 조선소는 디지털 기업으로 도약해야 합니다. 단순하고 상투적으로 들릴 수 있지만 그것이 현실입니다. 통합 디지털 제조 솔루션 없이는 끊임없이 변화하는 규정과 계속해서 확대되는 소비자 및 업계 요구를 충족하는 혁신적인 선박을 생산하는 데 필요한 제조 정확도, 효율, 유연성을 갖출 수 없습니다.
항공우주 및 방위 산업의 시스템 엔지니어링에 대한 미션 중심 접근 방식
효과적인 항공우주 시스템 엔지니어링은 항상 복잡했습니다. 그러나 더 많은 시스템과 하위 시스템을 도입하는 진화하는 기술은 제품의 복잡성만 증가시키고 있습니다.
시스템 엔지니어링의 디지털 혁신을 실현하기 위한 경영진 가이드
뒤늦게 발견된 문제로 인해 발생되는 제품 납품 지연 문제로 인해 항공우주 및 방위 기업들은 곤욕을 치르고 있습니다. 이는 옛날 접근 방식으로 현재의 제품을 만들려고 할 때 발생되는 안타까운 결과라고 할 수 있습니다.
Digital Ship Construction solution overview
Digital ship construction offers a better way to manage the shipbuilding process. This approach relies on integrating the three core systems involved in ship construction: product lifecycle management (PLM), manufacturing operations management (MOM) and enterprise resource management (ERM). This ensures a closed loop between design and manufacturing, which minimizes risk and enables continuous improvement.
Agility in market research: How to move fast in times of change
Maria Voronina, strategic planning manager at Chobani, and Steven Wengrovitz, head of research at Uber Eats, provide practical guidance on how you can use real-time research insights to help your organization adapt and succeed during times of change.
Why Enterprises Need Data Science, Machine Learning, and AI Platforms
Delivering results with Artificial Intelligence
Embedding Generative AI and Advanced Search into your Apps with MongoDB
Technology leaders have quickly recognized that alongside the potential benefits of GenAI, there are also risks from the technology’s immaturity.
Darwinbox Scales Up and Out with MongoDB
Tech startup Darwinbox has seen exponential growth since its first line of code was written in 2015. Today, the HR Software-as-a-Service (SaaS) platform handles all employee interactions from recruitment to retirement, is present in 116 countries, and has over 850 customers and more than 2.2 million daily users.
Zomato Manages High-Volume Data and Delivers High-Speed Success
Explore how MongoDB empowers Zomato's rapid growth. Hear from Zomato’s team how Atlas drives essential operations, from order tracking to featured restaurants, providing scalability and performance for Zomato's high-demand services.
How Canara HSBC Life Insurance Optimized Costs and Claims Processing with MongoDB
Canara HSBC’s digital transformation was centered on three technical pillars: the cloud, analytics, and mobility. The company focused on creating a more integrated organization and automating manual processes within the system.
Slicing Through Fintech: How slice is Revolutionizing India’s Financial Landscape with MongoDB-Powered Innovation
Slice has emerged as a leading innovator in India’s fintech ecosystem, focusing deeply on India’s young population. We’ve built a one-of-a-kind product that makes our customers’ financial experience more intuitive, rewarding, and truly delightful.
Tata Digital Harmonizes a Variety of Data, Powered by MongoDB Atlas
Tata Digital was founded in March 2019 as the newest company under India’s Tata Group. Tata Digital is the business’s digital backbone and unites all its consumer companies under one umbrella offering consumers a One Tata experience.
How slice Enables Credit Approval in Less Than a Minute for Millions of Indians
Speaking at the December 2022 MongoDB Day at Bangalore, Upendra described how slice is leading the disruption and innovation in the fintech ecosystem and setting global benchmarks.
How MongoDB Atlas provides a robust, no-maintenance and scalable application data platform that enables ongoing development for Yousician
MongoDB Atlas also enables much faster time to market for new services and features – Yousician can now spin up new clusters in ten minutes, rather than take a couple of days as was previously the case.
Application-Driven Intelligence : Defining the Next Wave of Successful Modern Apps
Download the white paper to learn more about the requirements to successfully deliver application-driven intelligence and how you can started. To compete and win in the digital economy you need to make your applications smarter.
Modernization What’s Taking So Long?
You’ll learn how to discover and avoid the common pitfalls of modernization, optimize your chances for success, and achieve both the technological and business advantages of a successful modernization project.
Getting the Most Out of AI in 2021: Insights From 10+ Industry Trailblazers
To help organizations continue to deftly pivot and keep pace in an ever-evolving world, we compiled qualitative commentary from a diverse range of technical and non-technical experts from companies like Snowflake, Microsoft, AWS, and Tableau, among others.
Dentsu Aegis Network: Better Processes for Happier Clients with FortressIQ
Led by Max Cheprasov, Chief Automation Officer at Dentsu Aegis Network, the Automation Center of Excellence had been exploring how Artificial Intelligence (AI) could be used to boost business performance. As the team started realizing how task automation could give employees more time for strategic thinking and complex problem solving, they found FortressIQ.
4 Tips to Propel Your Business Using a Knowledge Management System
Learn how a knowledge management system can increase efficiency, enable better project management, provide valuable insights to your clients and prospects, and so much more.
What Is MLOps?
With this report, business leaders will learn about MLOps, a process for generating long-term value while reducing the risk associated with data science, ML, and AI projects. Authors Lynn Heidmann and Mark Treveil from Dataiku start by introducing the data science-ML-AI project lifecycle to help you understand what--and who--drives these projects.
Defining A Successful AI Project
How should organizations choose their AI projects? Should it be a trendy, consumer-facing solution such as a chatbot, virtual assistant, or computer vision application? Or is it better to focus on embedded, back-of-the-house projects that quietly help to improve internal operations, employee efficiency, or decision-making? This ebook has answers.
Transforming IT Operations To Enable Better Business Outcomes
Read this ESG whitepaper to know how improving operational efficiency is the most important objective IT expects to accomplish from their organizations’ investments in the area of AI/ ML.
AI: From Cost to Revenue
For an Enterprise AI strategy to be truly sustainable, one must consider the economics: not just gains, but cost. This ebook unpacks those costs and how to control them.
4 Things M&A Dealmakers Need to Know About Artificial Intelligence
Read our white paper to learn: - How AI helps you to make smarter decisions - What's real about AI in M&A - and what's friction - How you can turn more data into better deals - Why AI can be used to fill information gaps and improve due diligence
The AI Impact Survey: Insights from More than 400 Data Professionals
Thoughts from 400+ Data Professionals Worldwide More than 400 data professionals in San Francisco, Amsterdam, Paris, and Stuttgart responded to the AI Impact Survey. This ebook breaks down the results and includes recommendations as well as best practices for organizations looking to scale AI.
Beware the Hidden Risks of BYO Appliances
Digital transformation requires a steady and resilient infrastructure that is both agile and cost-effective. Efficient data management and data storage are certainly the backbone of any such infrastructure. Download this whitepaper to learn more.
StubHub Finds Ticket to Effective Digital Asset Management with Cloudinary
Case Study into how StubHub, streamlined and automated image management with Cloudinary, netting significant time and cost savings while displaying first-rate images in over 30 viewports across devices
A Day in the Life : How Automation Is Changing Field Service
This ebook looks at some of the inefficiencies of traditional field service, then highlights how AI-driven automation can help field teams work smarter and more efficiently.
AI for Construction Management
Enabling Timely, Profitable Project Completion in an Uncertain World
Why Enterprises Need Data Science, Machine Learning, and AI Platforms
Enabling Enterprise AI Enterprise AI is at peak hype, yet AI has yet to fundamentally change most businesses. For the most part, those that have been successful have democratized the use of data throughout the organization. But how can everyone else catch up? Enter: data science, machine learning, and AI platforms.