汽车製造的未来-智慧工厂的演变
市场调查报告书
商品编码
1383272

汽车製造的未来-智慧工厂的演变

Future of Automotive Manufacturing- Evolution of Smart Factories

出版日期: | 出版商: Frost & Sullivan | 英文 91 Pages | 商品交期: 最快1-2个工作天内

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简介目录

智慧製造增强未来成长潜力并实现垂直市场拓展

汽车製造是一个复杂且不断发展的行业,受到技术进步、经济状况和消费者偏好的影响。随着汽车需求的增长,汽车製造已从严重依赖体力劳动演变为采用新技术和大规模生产技术。在引入组装后,汽车製造最重要的发展是机器人和自动化的采用。机器人和自动化正在帮助製造商提高效率、提高品质并降低成本。紧随这一重大转变的是智慧製造,由电动车和数数位製造技术的兴起所推动。

智慧製造利用人工智慧 (AI)、机器学习 (ML)、机器人、自动化和物联网 (IoT) 等新技术来创建高效、永续和自适应的生产系统。智慧製造技术用于汽车製造,以改善各种流程,包括产品设计、生产计画和调度、品管和供应链管理。

主要问题:

  • 智慧工厂有哪些重要特征?製造工厂什么时候变得智慧?
  • 全球智慧工厂主要采用哪些数位技术?
  • 主要OEM采用这些技术的程度如何?
  • 世界各地提案/期待的汽车智慧工厂是什么?
  • 哪些早期智慧製造技术将为未来带来重大变革?

智慧製造正在透过提高效率、品质、弹性和永续性来改变汽车製造业。随着汽车产业的不断发展,智慧製造技术预计将变得更加主流。人们认为,采用智慧製造的汽车将在全球市场竞争中处于更有利的地位。

目录

战略衝动

  • 为什么成长如此困难?
  • The Strategic Imperative 8(TM)
  • 关键策略激励措施对汽车製造业未来的影响
  • 成长机会推动Growth Pipeline Engine(TM)

成长机会分析

  • 生长促进因子
  • 成长抑制因素

成长环境

  • 製造创新
  • 汽车智慧製造的演变
  • 从工业 4.0 过渡到工业 5.0
  • OEM评估
  • 未来世界的智慧工厂
  • 智慧汽车製造:供应商生态系统

智慧工厂:概述

  • 智慧工厂的特点
  • 汽车製造:主要阶段
  • 智慧製造技术在汽车製造的应用
  • 汽车製造技术形势
  • 智慧工厂的驱动力
  • 采用智慧製造面临的挑战
  • 智慧製造中的网路安全威胁

智慧製造:主要OEM的采用程度

  • 特斯拉:超级工厂
  • 丰田:三轴製造方法
  • 日产:智慧型工厂
  • BMW:未来工厂
  • 大众汽车:互联生产领导者
  • GM
  • Ford
  • Hyundai

汽车製造中的数位技术

  • 支援人工智慧的生成设计
  • 通用汽车与 Autodesk 之间的人工智慧生成设计合作伙伴关係
  • Secondmind
  • 人工智慧主导的自主系统
  • 人工智慧主导的自主系统: OEM倡议
  • 虚拟工作空间
  • 虚拟工作空间: OEM计划
  • 虚拟工作空间:福特
  • 全息石
  • DT
  • DT: OEM倡议
  • DT:VinFast
  • AM
  • AM: OEM倡议
  • 超级广播:特斯拉用例
  • DAPS

数位技术在汽车品管的应用

  • 机器视觉系统
  • 机器视觉系统: OEM倡议
  • 虚拟样机
  • 虚拟样机: OEM倡议
  • 虚拟产品测试:雷诺-日产联盟
  • 预测性维护

汽车库存管理和供应链中的数位技术

  • 下一代ERP系统
  • 连接的供应链
  • 供应链中的DT
  • 未来应用:透过区块链增强DT
  • 供应链:合作伙伴关係

汽车製造的早期方法

  • 汽车製造中的 ChatGPT:概述
  • ChatGPT 在汽车製造中的作用
  • ChatGPT 在汽车品质控制中的作用
  • 梅赛德斯-奔驰:ChatGPT主导智慧型汽车生产
  • 製造业中的量子计算用例:细分
  • 案例研究:BMW使用量子计算来最佳化机器人途径
  • 製造业中的量子计算:汽车合作伙伴
  • 汽车OEM和一级供应商寻求在製造中使用量子计算
  • 微型工厂
  • 集体製造

成长机会宇宙

  • 成长机会1:ICT促进绿色製造
  • 成长机会2:工厂车间的MR
  • 成长机会3:基于资料的商业机会
简介目录
Product Code: PF28-44

Smart Manufacturing will Strengthen Future Growth Potential and Enable Vertical Market Expansion

Automotive manufacturing is a complex and ever-evolving industry shaped by technological advancements, economic conditions, and consumer preferences. As the demand for automobiles grew, automotive manufacturing has evolved from being highly reliant on manual labor to adopting new technologies and mass production techniques. The most important development in automotive manufacturing, next to the introduction of the assembly line, has been the adoption of robotics and automation. Robotics and automation have helped manufacturers improve efficiency, quality, and reduce costs. Next in this line of major transformations is smart manufacturing, driven by the rise of electric vehicles and digital manufacturing techniques.

Smart manufacturing leverages emerging technologies, including artificial intelligence (AI), machine learning (ML), robotics, automation, and the Internet of Things (IoT), to create efficient, sustainable, and adaptable production systems. Smart manufacturing techniques are being used in automotive manufacturing to improve a wide range of processes, including product design, production planning and scheduling, quality control, and supply chain management.

This research covers the various systems/products/methods that make smart manufacturing practical and addressed the following points.

  • 1. Various milestones in the evolution of automotive manufacturing
  • 2. The transition from Industry 4.0 to 5.0 and its impact on the automotive industry
  • 3. Various challenges and threats to the adoption of these digital technologies
  • 4. Extent of use of various technologies in smart manufacturing solutions

The significant questions answered include:

  • 1. What are the important features of a smart factory? When is a manufacturing plant smart?
  • 2. What are the major digital techniques employed in smart factories across the world?
  • 3. What is the extent of adoption of these techniques by major OEMs?
  • 4. What are the proposed /expected automotive smart factories around the world?
  • 5. What are the nascent smart manufacturing techniques that will have a huge transformative impact on the future?

Smart manufacturing is transforming the automotive manufacturing industry by improving efficiency, quality, flexibility, and sustainability. As the automotive industry continues to evolve, smart manufacturing techniques will become even more predominant. Automotive manufacturers that embrace smart manufacturing will be best-positioned to compete in the global marketplace.

Table of Contents

Strategic Imperatives

  • Why is it Increasingly Difficult to Grow?
  • The Strategic Imperative 8™
  • The Impact of the Top 3 Strategic Imperatives on the Future of Automotive Manufacturing
  • Growth Opportunities Fuel the Growth Pipeline Engine™

Growth Opportunity Analysis

  • Growth Drivers
  • Growth Restraints

Growth Environment

  • Innovations in Manufacturing
  • Evolution of Smart Automotive Manufacturing
  • Industry 4.0 to Industry 5.0 Transition
  • Select Original Equipment Manufacturer (OEM) Assessment
  • Upcoming Smart Factories, Global
  • Automotive Smart Manufacturing-Vendor Ecosystem

Smart Factories-Overview

  • Features of a Smart Factory
  • Automotive Manufacturing-Major Stages
  • Smart Manufacturing Techniques in Automotive Manufacturing
  • Technology Landscape across Automotive Manufacturing
  • Smart Factory Drivers
  • Challenges Faced in the Adoption of Smart Manufacturing
  • Cybersecurity Threats in Smart Manufacturing

Smart Manufacturing-Extent of Adoption by Select OEMs

  • Tesla-The Gigafactories
  • Toyota-3-axis Approach to Manufacturing
  • Nissan-Intelligent Factory
  • BMW-Factories of the Future
  • Volkswagen-Connected Production Leader
  • GM
  • Ford
  • Hyundai

Digital Techniques in Automotive Manufacturing

  • AI-enabled Generative Design
  • GM and Autodesk AI Generative Design Partnership
  • Secondmind
  • AI-driven Autonomous Systems
  • AI-driven Autonomous Systems-OEM Initiatives
  • Virtual Workspaces
  • Virtual Workspaces-OEM Initiatives
  • Virtual Workspaces-Ford
  • Holo-Light
  • DT
  • DTs-OEM Initiatives
  • DTs-VinFast
  • Additive Manufacturing
  • Additive Manufacturing-OEM Initiatives
  • Megacasting-Tesla Use Case
  • Divergent Adaptive Production System (DAPS)

Digital Techniques in Automotive Quality Control

  • Machine Vision Systems
  • Machine Vision Systems-OEM Initiatives
  • Virtual Prototyping
  • Virtual Prototyping-OEM Initiatives
  • Virtual Product Testing-Renault-Nissan Alliance
  • Predictive Maintenance

Digital Techniques in Automotive Inventory Management and Supply Chain

  • Next-generation ERP Systems
  • Connected Supply Chain
  • DT in the Supply Chain
  • Future Application-Strengthening DT with Blockchain
  • Supply chain-Partnerships

Nascent Methods in Automotive Manufacturing

  • ChatGPT in Automotive Manufacturing-Overview
  • ChatGPT's Role in Automotive Production
  • ChatGPT's Role in Automotive QC
  • Mercedes-Benz-ChatGPT-driven Intelligent Vehicle Production
  • Quantum Computing Use Cases in Manufacturing-Segmentation
  • Case Study-BMW Using Quantum Computing for Robot Path Optimization
  • Quantum Computing in Manufacturing-Automotive Partnerships
  • Automotive OEMs and Tier I Exploring Quantum in Manufacturing
  • Micro Factories
  • Swarm Manufacturing

Growth Opportunity Universe

  • Growth Opportunity 1-ICT for Green Manufacturing
  • Growth Opportunity 2-MR on the Factory Floor
  • Growth Opportunity 3-Data-based Business Opportunities
  • List of Exhibits
  • Legal Disclaimer