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市場調查報告書

汽車產業的智慧製造業

Smart Manufacturing in Automotive

出版商 ABI Research 商品編碼 745761
出版日期 內容資訊 英文 27 Pages, 2 Tables, 2 Charts, 1 Figure
商品交期: 最快1-2個工作天內
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汽車產業的智慧製造業 Smart Manufacturing in Automotive
出版日期: 2018年11月15日 內容資訊: 英文 27 Pages, 2 Tables, 2 Charts, 1 Figure
簡介

在圍繞汽車的高性能化、高附加價值化的競爭活躍化之中,各汽車製造公司將各種零件和系統的開發、製造工程外包化,構築更纖薄靈活的體制。多數的智慧製造業供應商打算進入汽車產業。

本報告提供全球汽車產業上「智慧製造業」的普及情形和實現預測相關分析,技術概要和最新的市場形勢,主要的推動及阻礙市場要素,汽車產業的市場趨勢和「智慧製造業」的普及預測,各種企業的簡介、市場定位、SWOT分析等的資訊彙整,為您概述為以下內容。

第1章 摘要整理

第2章 智慧製造業供應商策略指導

第3章 汽車產業的概要

  • 分析上定義

第4章 汽車產業用智慧製造市場概要

  • 利用案例,案例研究

第5章 市場趨勢

  • 推動市場要素
  • 阻礙市場要素

第6章 市場預測

  • 汽車生產台數:前4個國家的收集趨勢
  • 數位工廠的市場收益額 (硬體設備除外):前4個國家的汽車製造業的情況

第7章 企業簡介

  • 積層製造業
  • AI (人工智能) 平台
  • AR (擴增實境)
  • 生產規劃、資料管理、MOM (訊息意向中介軟體) 用平台
  • 機器人

報告中所談到的企業

  • BMW Group
  • Universal Corporation
  • ABB Ltd
  • Software AG
  • Cummins Inc.
  • OT
  • Ability Inc.
  • Two Technologies Inc
  • United Technologies Corporation
  • Apriso
  • Cumulocity
  • Vuzix
  • Lear Corporation
  • NVIDIA
  • Opel
目錄
Product Code: AN-5021

The automotive industry faces many of the same challenges as other industries such as bridging the gap between IT and OT and providing low-code or no-code tools for content creation, app development, and logic configuration. Technology vendors targeting the automotive manufacturing industry need to understand that while automotive shares many challenges with other industries, it often takes them to extremes. For example, while all industries struggle right now to deploy new technologies and integrate them with current processes, the magnitude and complexity in automotive manufacturing present greater risks. One minute of down-time in automotive can cost tens of thousands of US dollars.

Automotive manufacturing deals with relatively high-value, high-volume and high-complexity products. OEMs in this industry generally design the vehicles, then outsource the production of many of the systems, sub-systems, and parts before assembling, painting, finishing and testing the final products themselves. Also, most vehicles now have options and extras that require slight alterations or reconfigurations to the assembly processes as well as the supply chain, and every new option, part or feature requires test cars for the production team to practice building it into the vehicles and for functionality testing.

Additionally, automotive OEMs tend to have fragmented internal organizations with few branches of management that take a holistic view of applying technology or innovation across the enterprise. This makes maintaining digital threads and digital twins from design through production to final products more complicated than most other industries.

How can Smart Manufacturing technology vendors tackle not only the vast number of problems that they solve in every industry but also take on the additional challenges that come with automotive? To do this, they need to go in with an understanding of the challenges, solutions with obvious business cases and a stakeholder management strategy for all the parties involved, from the factory floor workers and their unions to the OEMs' executives, IT departments and all the suppliers. Most of the OEMs and their suppliers know they need to transform. Competition will spur them onward, but each new technology needs to make business sense and not burn bridges with stakeholders.

Smart Manufacturing vendors targeting automotive have already seen a surprising amount of progress. Dassault Systèmes has Honda North America using DELMIA to design and simulate its plant floors before building them and works with Cummins on the execution side. Telit also works with Honda North America, connecting its equipment. In addition, Telit works with BMW as a client in its factories in Africa and the US and Ford as a client with factories spread around the globe. EOS sells 3D printers to BMW, Audi, and Daimler, and Universal Robots sells cobots to 90% of all the OEMs and even more to suppliers. Even AR companies have started to work their way onto automotive production lines.

While automotive manufacturing may venture forth as a pioneer in scaling these technologies, it demands guaranteed or proven ROI before doing so. This holds true in the US more than most countries. Neither automotive OEMs nor their suppliers will take gambles on unproven technologies when it comes to their production lines. Vendors must define, prioritize, prove and present their business case before approaching this sector. If they can do so and show potential automotive clients exactly how to implement and integrate their technology without disrupting production, this market will adopt and scale the solution.

The "Company profiles" section contains analysis of the positioning, strengths, and weaknesses of several technology vendors. This report examines the drivers, barriers, and potential of Smart Manufacturing in Automotive.

Table of Contents

1. EXECUTIVE SUMMARY

2. STRATEGIC GUIDANCE FOR SMART MANUFACTURING VENDORS

3. INTRODUCTION TO THE AUTOMOTIVE INDUSTRY

  • 3.1. Report Definitions

4. SMART MANUFACTURING IN AUTOMOTIVE OVERVIEW

  • 4.1. Example Use Cases and Case Studies

5. MARKET TRENDS

  • 5.1. Drivers
  • 5.2. Inhibitors

6. MARKET FORECASTS

  • 6.1. Connections in Automotive Manufacturing in the Top Four Countries for Motor Vehicle Production
  • 6.2. Digital Factory Revenue (Excluding Hardware) in Automotive Manufacturing in the Top Four Countries for Motor Vehicle Production

7. COMPANY PROFILES

  • 7.1. Additive Manufacturing
  • 7.2. AI Platform
  • 7.3. Augmented Reality
  • 7.4. Platforms for Production Planning, Data Management, and MOM
  • 7.5. Robotics

Companies Mentioned

  • BMW Group
  • Universal Corporation
  • ABB Ltd
  • Software AG
  • Cummins Inc.
  • OT
  • Ability Inc.
  • Two Technologies Inc
  • United Technologies Corporation
  • Apriso
  • Cumulocity
  • Vuzix
  • Lear Corporation
  • NVIDIA
  • Opel
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