汽車製造的未來-智慧工廠的演變
市場調查報告書
商品編碼
1383272

汽車製造的未來-智慧工廠的演變

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個工作天內

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簡介目錄

智慧製造增強未來成長潛力並實現垂直市場拓展

汽車製造是一個複雜且不斷發展的行業,受到技術進步、經濟狀況和消費者偏好的影響。隨著汽車需求的成長,汽車製造已從嚴重依賴體力勞動演變為採用新技術和大規模生產技術。在引入組裝後,汽車製造最重要的發展是機器人和自動化的採用。機器人和自動化正在幫助製造商提高效率、提高品質並降低成本。緊隨這一重大轉變的是智慧製造,由電動車和數位製造技術的興起所推動。

智慧製造利用人工智慧 (AI)、機器學習 (ML)、機器人、自動化和物聯網 (IoT) 等新技術來創建高效、永續和自適應的生產系統。智慧製造技術用於汽車製造,以改善各種流程,包括產品設計、生產計畫和調度、品管和供應鏈管理。

主要問題:

  • 智慧工廠有哪些重要特徵?製造工廠什麼時候變得智慧?
  • 全球智慧工廠主要採用哪些數位技術?
  • 主要OEM採用這些技術的程度如何?
  • 世界各地提案/期待的汽車智慧工廠是什麼?
  • 哪些早期智慧製造技術將為未來帶來重大變革?

智慧製造正在透過提高效率、品質、彈性和永續性來改變汽車製造業。隨著汽車產業的不斷發展,智慧製造技術預計將變得更加主流。人們認為,採用智慧製造的汽車將在全球市場競爭中處於更有利的地位。

目錄

戰略衝動

  • 為什麼成長如此困難?
  • The Strategic Imperative 8(TM)
  • 關鍵策略激勵措施對汽車製造業未來的影響
  • 成長機會推動Growth Pipeline Engine(TM)

成長機會分析

  • 生長促進因子
  • 成長抑制因素

成長環境

  • 製造創新
  • 汽車智慧製造的演變
  • 從工業 4.0 過渡到工業 5.0
  • OEM評估
  • 未來世界的智慧工廠
  • 智慧汽車製造:供應商生態系統

智慧工廠:概述

  • 智慧工廠的特點
  • 汽車製造:主要階段
  • 智慧製造技術在汽車製造的應用
  • 汽車製造技術形勢
  • 智慧工廠的驅動力
  • 採用智慧製造面臨的挑戰
  • 智慧製造中的網路安全威脅

智慧製造:主要OEM的採用程度

  • 特斯拉:超級工廠
  • 豐田:三軸製造方法
  • 日產:智慧型工廠
  • BMW:未來工廠
  • 大眾汽車:互聯生產領導者
  • GM
  • Ford
  • Hyundai

汽車製造中的數位技術

  • 支援人工智慧的生成設計
  • 通用汽車與 Autodesk 之間的人工智慧生成設計合作夥伴關係
  • Secondmind
  • 人工智慧主導的自主系統
  • 人工智慧主導的自主系統: OEM舉措
  • 虛擬工作空間
  • 虛擬工作空間: OEM計劃
  • 虛擬工作空間:福特
  • 全像石
  • DT
  • DT: OEM計劃
  • DT:VinFast
  • AM
  • AM: OEM計劃
  • 超級廣播:特斯拉用例
  • DAPS

數位技術在汽車品管的應用

  • 機器視覺系統
  • 機器視覺系統: OEM舉措
  • 虛擬樣機
  • 虛擬樣機: OEM舉措
  • 虛擬產品測試:雷諾-日產聯盟
  • 預測性維護

汽車庫存管理和供應鏈中的數位技術

  • 下一代ERP系統
  • 連接的供應鏈
  • 供應鏈中的DT
  • 未來應用:透過區塊鏈增強DT
  • 供應鏈:合作夥伴關係

汽車製造的早期方法

  • 汽車製造中的 ChatGPT:概述
  • ChatGPT 在汽車製造中的作用
  • ChatGPT 在汽車品質控制中的作用
  • 梅賽德斯-奔馳:ChatGPT主導智慧型汽車生產
  • 製造業中的量子計算用例:細分
  • 案例研究:BMW使用量子計算來最佳化機器人途徑
  • 製造業中的量子計算:汽車合作夥伴
  • 汽車OEM和一級供應商尋求在製造中使用量子計算
  • 微型工廠
  • 集體製造

成長機會宇宙

  • 成長機會1:ICT促進綠色製造
  • 成長機會2:工廠車間的MR
  • 成長機會3:基於資料的商業機會
簡介目錄
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