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市場調查報告書
商品編碼
997385

「未來工廠」中的分層建模:機遇與市場

Automation and Additive Manufacturing: Opportunities and Markets

出版日期: | 出版商: SmarTech Analysis | 英文 84 Pages | 訂單完成後即時交付

價格
  • 全貌
  • 簡介
  • 目錄
簡介

自從概念首次提出以來,疊層建模(AM)就被視為 "未來工廠" 的組成部分。但是,整個製造業的滲透率仍約為1%。層壓成型的好處是眾所周知的,但由於工藝複雜和延遲,規模擴大的成本,缺乏熟練的技術工人,整個供應鏈的質量控制困難以及法規遵從性,仍然存在諸如延遲交貨的問題。標準化。另一方面,存在通過諸如設計自動化和後處理之類的方法來實現降低固定成本的效果的運動,這將導致層壓建模的普及。

本報告分析了全球層狀建模市場未來發展的機遇和問題,層狀建模技術的概述和組成部分,迄今為止的發展/擴散運動和當前問題,數字化/我們將向您發送有關自動化運動和預期效果的信息,未來技術進步和市場增長潛力,主要公司概述和主要解決方案。

目錄

第1章簡介

第2章分層建模(AM)工作流程的自動化

  • 製造業生態系統中自動化的總體趨勢
  • 3D打印工作流程:受當前限制因素抑制增長
    • 設計/文件處理
    • 零件選擇和管理
    • 構建(過程)模擬
    • 構建監控
    • 生成管理
    • 後處理和檢查
  • 零件設計生成過程的自動化
  • 數字數據管理的進一步困難
    • 層壓成型工藝/技術的穩定性
    • 端到端解決方案實施成本
    • 可以建立,交換和利用數字線程的人力資源
  • 生產/後處理:需要新的膨脹解決方案
  • 分層建模的長期影響

第3章加速 "未來工廠"

  • 概述
  • 當前供應鏈結構
    • 複雜的電子和醫療設備
    • 運輸設備/工業機械
    • 工藝設備
  • 影響供應鏈結構的因素
  • 分層模型在整個供應鏈中的廣泛滲透和數字化
  • 分層建模供應鏈的數字化
    • 先進的計劃/調度系統
    • 數字採購
    • Digital Twin:虛擬/自動驗證/驗證過程

第4章數字化對市場增長的堆疊建模(AM)影響

  • 概述
  • 方法和框架
    • 經濟增長模型
    • 疊層模型(AM)的數字化介紹模型
  • 通過層壓模型的數字化提高生產率
    • 通過數字化層壓建模網絡來改善效果
    • 通過數字化層壓成型工藝來改善效果
  • 市場趨勢

第5章:分層建模領域的自動化:公司簡介

  • 設計/文件處理
    • Castor
    • nTopology
  • CAD軟件工具
    • Dassault Systemes (SolidWorks)
    • Onshape
    • PTC
    • Autodesk
    • Siemens NX
    • 3YourMind
    • Authentise
    • Link3D
    • SAP
    • Materialise
    • Oqton
  • 構建模擬
    • ParaMatters
    • Ansys
  • 構建監控/管理
    • Additive Assurance
    • EOS
    • Renishaw
    • 3D Systems
    • Addiguru
  • 品質保證
    • Senvol
    • Be Global Safety
    • Identify3D
    • Simba Chain
    • Granutools
  • 機器人技術和後處理
    • Aris Technology
    • PostProcess Technologies
    • DyeMansion
    • AMT
  • 使用自動生產功能的設備製造商
    • AREVO
    • Divergent 3D
    • EOS Shared Modules

關於SmarTech Analysis

關於分析師

本報告中使用的首字母縮寫詞

目錄
Product Code: SMP-AM-FOF-0321

Additive Manufacturing (AM) has been considered an essential part of the factory of the future since the concept first appeared. Until now, no publication has discussed precisely the role that AM will play in the factory of the future.

SmarTech Analysis' new report, "Automation, Additive Manufacturing and the Factory of the Future," provides the necessary raw data and analysis for marketers, product planners, general management, investors and users to take AM to the automated future.

For now, AM represents about one percent of the overall manufacturing and production landscape. Despite the well-publicized advantages of AM, there remain significant obstacles to AM's adoption: slow processes involving multiple steps, high costs to scaling, shortage of skilled workforce, difficulty in controlling quality across the supply chain, and the immaturity of standards to facilitate regulatory conformity. All these challenges - and their resolution - are discussed in this new SmarTech Analysis report.

This report also examines the AM supply chain and its digitalization in a number of critical industries including electronic instruments, medical devices, transportation, industrial machinery and process equipment. In addition, the report takes a look at the critical issue of automation both of local AM processes and distributed AM networks. And while the report acknowledges the problems that arise in the context of bringing AM into the factory of the future, it also shows how AM will lead to lower fixed costs and smaller manufacturing footprints than traditional manufacturing. Two other areas that the report examines are design automation and post processing.

Table of Contents

Chapter One: Introduction

  • 1.1 Introduction
  • 1.2 Plan and Methodology

Chapter Two: Automating the AM Workflow

  • 2.1 Automation Trends in the Broad Manufacturing Ecosystem
  • 2.2 Current Limitations of the 3D Printing Workflow are Limiting Growth
    • 2.2.1 Design and File Processing
    • 2.2.2 Part Selection and Management
    • 2.2.3 Build Simulation
      • 2.2.3.1 Process Optimization
      • 2.2.3.2 Support Structures
    • 2.2.4 Build Monitoring
    • 2.2.5 Build Management
    • 2.2.6 Post Processing and Inspection
  • 2.3 Automating the Generation of Part Designs
  • 2.4 Managing Digital Data will Become Increasingly Challenging
    • 2.4.1 Stability of the AM Process and Technologies
    • 2.4.2 Costs for Implementing End-to-End Solutions
    • 2.4.3 Workforce that can Build, Interact, and Leverage the Digital Thread
  • 2.5 Production and Post Processing Need New and Augmented Solutions
  • 2.7 Long-term Implications for Additive Manufacturing

Chapter Three: Acceleration of Factory of the Future

  • 3.1 Overview
  • 3.2 Current Supply Chain Structures
    • 3.2.1 Complex Electronic Instruments and Medical Devices
    • 3.2.2 Transportation Equipment and Industrial Machinery
    • 3.2.3 Process Equipment
  • 3.3 Factors Affecting Supply Chain Structure
  • 3.4 Deployment of AM Across the Supply Chain and Its Digitization
  • 3.5 Digitalization of AM Supply Chain
    • 3.5.1 Advanced Planning and Scheduling Systems
    • 3.5.2 Digital Procurement
    • 3.5.3 Digital Twin - Virtual and Automated Verification and Validation

Chapter Four: Effects of Digitalization on AM Market Growth

  • 4.1 Overview
  • 4.2 Approach and Frameworks
    • 4.2.1 Economic Growth Model
    • 4.2.2 AM Digitalization Adoption Model
  • 4.3 Productivity Improvements of AM Digitalization
    • 4.3.1 Improvements from AM Network Digitalization
    • 4.3.2 Improvements from AM Process Digitalization
  • 4.4 Market Trends

Chapter Five: Automation in the Additive Manufacturing Sector - Company Overviews

  • 5.1 Design and File Processing
    • 5.1.1 Castor
    • 5.1.2 nTopology
  • 5.2 CAD Software Tools
    • 5.2.1 Dassault Systemes (SolidWorks)
    • 5.2.2 Onshape
    • 5.2.3 PTC
    • 5.2.4 Autodesk
    • 5.2.5 Siemens NX
    • 5.2.6 3YourMind
    • 5.2.7 Authentise
    • 5.2.8 Link3D
    • 5.2.9 SAP
    • 5.2.10 Materialise
    • 5.2.11 Oqton
  • 5.3 Build Simulation
    • 5.3.1 ParaMatters
    • 5.3.2 Ansys
  • 5.4 Build Monitoring and Management
    • 5.4.1 Additive Assurance
    • 5.4.2 EOS
    • 5.4.3 Renishaw
    • 5.4.4 3D Systems
    • 5.4.5 Addiguru
  • 5.5 Quality Assurance
    • 5.5.1 Senvol
    • 5.5.2 Be Global Safety
    • 5.5.3 Identify3D
    • 5.5.4 Simba Chain
    • 5.5.5 Granutools
  • 5.6 Robotics and Post Processing
    • 5.6.1 Aris Technology
    • 5.6.2 PostProcess Technologies
    • 5.6.3 DyeMansion
    • 5.6.4 AMT
    • 5.7 Equipment Manufacturers Using Automated Production
  • 5.7.1 AREVO
    • 5.7.2 Divergent 3D
    • 5.7.3 EOS Shared Modules

About SmarTech Analysis

About the Analyst

Acronyms and Abbreviations Used In this Report

List of Exhibits

  • Exhibit 2-1: Additive Manufacturing Automation Ecosystem
  • Exhibit 2-2: Example Company Call Out - Granutools' Specific Material Characterization for AM
  • Exhibit 2-3: NIST AM Information Map
  • Exhibit 3-1: Manufacturing Readiness Levels for New Technologies
  • Exhibit 3-2: Major Factors Increasing Complexity in Electronics Industry Segment
  • Exhibit 3-3: Current State of Medical Device Segment
  • Exhibit 3-4: Current State of Transportation Segment
  • Exhibit 3-5 Major Factors Increasing Complexity in Transportation Segment
  • Exhibit 3-6: Current State of the Biopharmaceutical Segment
  • Exhibit 3-7: Major Factors Increasing Complexity in Biopharma Segment
  • Exhibit 3-8: Acquiring Resources for Emergent Manufacturing Technologies
  • Exhibit 3-9: Resources Affecting Structure of Supply Chains
  • Exhibit 3-10: Supply Chain Relationships for Contributed Resources
  • Exhibit 3-11: Expected Performance of Supply Chain Relationships
  • Exhibit 3-12: WACC for Industrials
  • Exhibit 4-1: Potential Adoption Rates for AM Digitalization Technologies
  • Exhibit 4-2: Productivity Improvements from AM Network Digitalization
  • Exhibit 4-3: Breakdown of Cost Reductions from AM Process Digitalization
  • Exhibit 4-4: Productivity Improvements from AM Process Digitalization
  • Exhibit 4-5: AM Digitization Trends for the Number of Industrial Metal Systems Installed
  • Exhibit 4-6: AM Digitization Trends for the Number of Industrial Polymer Systems Installed
  • Exhibit 4-7: AM Digitization Trends for the Revenue of Contract Manufacturers
  • Exhibit 5-1: Company Outline as Determined by Workflow Position