市場調查報告: 智慧工廠的考察:2021年

本報告提供智慧工廠的詳細說明。

• 智慧工廠的10個詳細案例研究（實現目標、技術部署、用例實現）
• 智慧工廠的3個使能因素深入分析:
• 流程
• 人
• 科技
• 數位智慧工廠的成熟度模式概要
• 目前智慧工廠計劃趨勢，促進因素，課題
• 未來的製造範例
• 全球80個智慧工廠計劃資料庫

本報告中所刊載的資訊基於廣泛的一手和二手研究，包括2021年5月∼2021年7月期間對智慧工廠技術供應商、專家和最終用戶進行的21次訪談內容。該文件除了提供智慧工廠的定義，還包含了對一般智慧工廠目標、用例、智慧工廠關鍵推動因素、詳細案例研究、促進因素、趨勢和挑戰的研究觀點。

概要:

本報告從智慧工廠的定義開始，旨在通過深入探討智慧工廠的推動因素、案例研究範例、促進因素和課題等重要方面，提供智慧工廠的整體情況。

主要刊載企業:

Siemens，Schneider Electric，Bonfiglioli，SEW Eurodrive，阿里巴巴，Kalbe Morinaga，Nokia，AGCO，BMW，Foxconn等

目錄

第1章 摘要整理

第2章 簡介

• 製造業的演進
• 智慧工廠定義
• 智慧工廠的Google趨勢分析

第3章 工廠屬性

• 生產特徵
• 目標
• 智慧工廠的持續性主題

第4章 智慧工廠推動者1:流程

• 典型性的製造流程與目標
• 流程改善手法
• 智慧工廠的流程改善手法
• 深入探討：智慧工廠的技術和精益概念
• 現代的流程改善工具範例

第5章 智慧工廠推動者2:人

• 新職員的人力資源需求
• 提升現有勞動力的技能

第6章 智慧工廠推動者3:科技

• 智慧工廠的自動化系統所扮演的角色
• 智慧工廠的發展類型
• 智慧工廠的資料收集方法

第7章 數位的成熟度模式

• 數位的成熟度模式概要
• 4個數位的成熟度模式比較
• 4個數位的成熟度模式的簡介
• 成熟度模式X
• 成熟度模式X
• 成熟度模式X
• 成熟度模式X

第8章 促進因素，趨勢，課題

• 智慧工廠的使用案例
• 案例研究
  • 案例研究X
  • 案例研究X
  • 案例研究X
  • 案例研究X
  • 案例研究X
  • 案例研究X
  • 案例研究X
  • 案例研究X
  • 案例研究X
  • 案例研究X

第9章 促進因素，趨勢，課題

• 智慧工廠引進的課題
• 智慧工廠科技採用的促進因素
• 未來的製造範例

第10章 調查手法與市場定義

第11章 關於IoT Analytics

163-page insights report detailing how factories are becoming smarter, including:

• 10 detailed case studies of smart factories showcasing goals achieved, technologies deployed and use cases realized.

• In-depth analysis of the 3 smart factory enablers:

• Processes

• People

• Technology

• Overview of digital smart factory maturity models

• Trends, drivers and challenges of current smart factory projects

• Upcoming manufacturing paradigms

• Database of 80 smart factory projects around the world

“The Smart Factory Insights Report” is part of IoT Analytics' ongoing coverage of Industrial IoT and Industry 4.0 topics (Industrial IoT Research Workstream). The information presented in this report is based on extensive primary and secondary research, including 21 interviews with smart factory technology vendors, experts and end users conducted between May 2021 and July 2021. The document includes a definition of smart factory, and a research perspective on common smart factory goals, use cases, key smart factory enablers, in-depth case studies, as well as drivers, trends & challenges.

Find out:

• How have the goals of manufacturing evolved over the years?

• How do production characteristics vary across different types of industries such as process, discrete and hybrid manufacturing?

• What are the different goals of today's factories?

• What role do processes and continuous process improvement methods (e.g.: Lean, Six sigma) play in smart factories?

• What is the significance of employee engagement and workforce empowerment in smart factory initiatives?

• What are the ways in which technology enables smart factories?

• What are the different methods of data ingestion for a smart factory?

• What are digital maturity models for smart factories and how can they be used?

• How have different companies deployed smart factories?

• What are the key challenges and drivers of smart factory projects?

At a glance:

Factories have been evolving in tandem with technology innovation. The rise of Industry 4.0 has been fundamental to the development of next generation factories, often referred to as "smart factories". This report aims to provide the reader with a holistic view of smart factories starting with definition and then deep diving into key aspects such as smart factory enablers, case study examples and drivers and challenges.

A smart factory refers to the transformation of people, processes, and enabling technologies at a production site, accompanied by the use of data.

Each production characteristic has multiple subgroups, and there are different types of factories within each subgroup.

Manufacturing facilities consist of several processes that have distinct improvement goals.

A deep dive into smart factory technology & lean concepts.

Talent requirement in a smart factory.

The role of automation systems in smart factories.

The Smart Factories Insights Report includes 10 detailed case studies.

Examples of process improvement tools in smart factories

Overview of data collection methods in smart factories.

A list of 80 smart factories around the world is included (only team user and enterprise premium licenses).

Selected companies from the report:

Siemens, Schneider Electric, Bonfiglioli, SEW Eurodrive, Alibaba, Kalbe Morinaga, Nokia, AGCO, BMW, Foxconn, and many others.

Table of Contents

1. Executive Summary

2. Introduction

• 2.1 The Evolution of Manufacturing
• 2.2 Smart Factory Definition
• 2.3 Smart Factory Google Trends Analysis

3. Attributes of Factories

• 3.1 Production Characteristics
• 3.2 Goals
• 3.3 Recurring Smart Factory Themes

4. Smart Factory Enabler 1: Processes

• 4.1 Typical Manufacturing Processes and Goals
• 4.2 Process Improvement Methods
• 4.3 Process Improvement Methods In Smart Factories
• 4.4 Deep Dive: Smart Factory Technology And Lean Concepts
• 4.5 Examples Of Modern Process Improvement Tools

5. Smart Factory Enabler 2: People

• 5.1 Talent Requirements for New Hires
• 5.2 Upskilling the Existing Workforce

6. Smart Factory Enabler 3: Technology

• 6.1 The Role of Automation Systems in Smart Factories
• 6.2 Types of Smart Factory Deployments
• 6.3 Data Collection Methods in Smart Factories

7. Digital Maturity Models

• 7.1 Overview of Digital Maturity Models
• 7.2 Comparison of Four Digital Maturity Models
• 7.3 Profiles of Four Digital Maturity Models
• 7.3.1 Maturity Model X
• 7.3.2 Maturity Model X
• 7.3.3 Maturity Model X
• 7.3.4 Maturity Model X

8. Drivers, Trends, and Challenges

• 8.1 Smart Factory Use Cases
• 8.2 Case Studies
  • 8.2.1 Case Study X
  • 8.2.2 Case Study X
  • 8.2.3 Case Study X
  • 8.2.4 Case Study X
  • 8.2.5 Case Study X
  • 8.2.6 Case Study X
  • 8.2.7 Case Study X
  • 8.2.8 Case Study X
  • 8.2.9 Case Study X
  • 8.2.10 Case Study X

9. Drivers, Trends, and Challenges

• 9.1 Smart Factory Implementation Challenges
• 9.2 Smart Factory Technology Adoption Drivers
• 9.3 Upcoming Manufacturing Paradigms

10. Methodology and Market Definitions

11. About IoT Analytics