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自動車業界向けスマート製造業

Smart Manufacturing in Automotive

発行 ABI Research 商品コード 745761
出版日 ページ情報 英文 27 Pages, 2 Tables, 2 Charts, 1 Figure
納期: 即日から翌営業日
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自動車業界向けスマート製造業 Smart Manufacturing in Automotive
出版日: 2018年11月15日 ページ情報: 英文 27 Pages, 2 Tables, 2 Charts, 1 Figure
概要

自動車の高性能化・高付加価値化を巡る競争が活発化する中で、自動車メーカー各社は各種部品やシステムの開発・製造工程を外注化して、よりスリムで機動性の高い体制を構築したいと考えています。その機会をとらえて、多数のスマート製造業ベンダーが自動車業界に参入しようとしています。

当レポートでは、世界の自動車産業における「スマート製造業」の普及状況と実現見通しについて分析し、技術の概要や最新の市場情勢、主な市場促進・抑制要因、自動車産業の市場動向と「スマート製造業」の普及見通し、各種企業のプロファイル・市場ポジショニング・SWOT分析などといった情報を取りまとめてお届けいたします。

第1章 エグゼクティブ・サマリー

第2章 スマート製造業ベンダー向け戦略ガイダンス

第3章 自動車産業の概略

  • 分析上の定義

第4章 自動車産業向けスマート製造市場の概要

  • 利用事例、ケーススタディ

第5章 市場動向

  • 市場促進要因
  • 市場抑制要因

第6章 市場予測

  • 自動車生産台数:上位4ヶ国への収集傾向
  • デジタル工場の市場収益額 (ハードウェアを除く):上位4ヶ国の自動車製造業の場合

第7章 企業プロファイル

  • 付加製造業
  • AI (人工知能) プラットフォーム
  • AR (拡張現実)
  • 生産企画・データ管理・MOM (メッセージ指向ミドルウェア) 用プラットフォーム
  • ロボット

本文中で言及した企業

  • 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
目次
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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