Changeable, Agile, Reconfigurable & Virtual Production：A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises

Andreas Schumachera,b*, Selim Erolb, Wilfried Sihna,b

aFraunhofer Austria Research GmbH, Theresianumgasse 7, 1040 Vienna, Austria

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bVienna University of Technology, Institut of Management Science, Theresianumgasse 7, 1040 Vienna, Austria

* Corresponding author. Tel.: +43-1-58801-33046; fax: +43-1-58801-33094; E-mail address: andreas.schumacher@fraunhofer.at

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Roadmap Industry 4.0 – Implementation Guideline for Enterprises

Ernst Pessl, Sabrina Romina Sorko, Barbara Mayer

Institute Industrial Management, FH JOANNEUM University of Applied Sciences, Kapfenberg, Austria

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Email address:

Ernst.Pessl@fh-joanneum.at (E. Pessl), SabrinaRomina.Sorko@fh-joanneum.at (S. R. Sorko),

Barbara.Mayer@fh-joanneum.at (B. Mayer)

To cite this article:

Ernst Pessl, Sabrina Romina Sorko, Barbara Mayer. Roadmap Industry 4.0 – Implementation Guideline for Enterprises. International

Journal of Science, Technology and Society. Vol. 5, No. 6, 2017, pp. 193-202. doi: 10.11648/j.ijsts.20170506.14

Received: August 22, 2017; Accepted: September 12, 2017; Published: November 6, 2017

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本文介绍两种用于系统开发的指标，其一是系统准备度水平（SRL），其二是等效系统质量（ESM），通过评估这两个指标，可以为制定开发计划提供更多的决策信息支持。

Optimization of System Maturity and

Equivalent System Mass for Space Systems

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Engineering Management

Brian Sauser, IEEE Member, Romulo Magnaye, Weiping Tan, Jose E. Ramirez-Marquez, and Bruce Sauser

Abstract — In the assessment of system’s developmental

maturity, metrics are used for making effective and

efficient decisions. This paper introduces the combination

of two metrics used in systems development, i.e. Systems

Readiness Level (SRL) and Equivalent System Mass

(ESM), in order to make a more informed decision in the

developmental planning of Exploration Life Support

Systems. We then expand upon this approach by utilizing

an optimization model that seeks to maximize a system’s

readiness (i.e. SRL) given a budgetary allowance

expressed in terms of ESM. We conclude with an

articulation of this optimization model utilizing a generic

space system.

Index Terms— equivalent systems mass; integration readiness

level; system readiness level; integration readiness level

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An Overview of a Smart Manufacturing System Readiness Assessment

Kiwook Jung1, Boonserm Kulvatunyou1, Sangsu Choi2, and Michael P. Brundage1

1Engineering Lab, National Institute of Standards and Technology (NIST)

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Gaithersburg, MD, USA

2IGI, LLC. Clarksburg, MD, USA

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MASTER GRADUATION THESIS

DOCUMENT NUMBER: DPM-1456

2017.09.19

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DEVELOPMENT OF

SMART INDUSTRY MATURITY MODEL

Hai ZHU

FACULTY OF ENGINEERING TECHNOLOGY

DESIGN, PRODUCTION AND MANAGEMENT

ASSESSMENT COMMITTEE:

Dr. Ir. T.H.J. Vaneker (chairman)

Dr. Ir. J. Jauregui Becker (supervisor)

Dr. Ir. A. Martinetti (external member)

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“工业互联网”概念自提出以来，在全球范围内迅速得到认可，并成为工业企业特别是制造企业进行新一代科技变革和业务创新的重要利器。过去两三年里，我国企业不断加快工业互联网的探索和实践，使之逐渐发展为重要的基础设施、关键的生产要素和持续的价值源泉。

作为政府主管部门推进我国工业互联网建设的重要窗口，工业互联网产业联盟（AII）积极开展工业互联网需求和产业研究，于2016年年中启动了工业互联网成熟度评估模型制定工作，经过半年多的努力，形成了《工业互联网成熟度评估白皮书（1.0）》成果。本白皮书遵循《工业互联网体系架构（版本1.0）》的主体思路，提出了互联互通、综合集成、数据分析利用三大核心要素，并分别面向离散型和流程型制造企业提炼总结了11个和10个关键能力，制定了一套相对完整的评估模型和评估指标。目前该模型已经展开了在线评估验证，已有几十家企业参与其中，本白皮书也对当前获得的评估数据进行了详细分析和论述。

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本白皮书旨在为企业提供一套评价自身实践的方法论，为企业找到工业互联网实施中的主要问题、改进方向和建设路径；为联盟各项工作及我国工业互联网的技术创新、应用实践提供参考和借鉴；为科研机构和政府主管部门提供有效的数据支撑和决策依据。与此同时，业界各方力量的应用和反馈也将不断促进联盟修正该方法论中存在的问题，为工业互联网发展提供更科学更准确的指导。

在本白皮书成果形成过程中，联盟面向内部成员和全社会进行了大量实际调研和在线评估问卷调查，中国电信、中兴通讯、中国移动、中国联通、北京机械工业自动化研究所、北京简易科技、上海禅月建筑科技、上海超算科技、江苏通鼎互联、天津沃克斯科技、安徽普奥云等信息通信企业，博世、中联重科、威派格、上海仪电、重庆盟讯电子、艾默生、深圳万全智能技术、山东京博石油化工、中煤陕西榆林能源化工、中石油新疆油田、广东南国药业、红塔烟草、河钢股份、宝钢工业炉工程、上海宝钢节能环保等工业企业，北京航空航天大学、上海交通大学等教育研究机构对评估模型和指标体系的制定积极建言献策，并主动参与了在线评估问卷调查和模型验证，为本白皮书的撰写提供了重要参考和宝贵意见，在此一并感谢！

工业互联网产业联盟

工业互联网成熟度评估白皮书 (1.0版)

2017年7月

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A systematic methodology for manufacturing enterprises to assess

current readiness and strategize their Industry 4.0 journey

Making Industry 4.0 Real - using the acatech I4.0

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Maturity Index

WHITE PAPER

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2016 Global Industry 4.0 Survey

What we mean by Industry 4.0 / Survey key findings / Blueprint for digital success

www.pwc.com/industry40

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Industry 4.0: Building

the digital enterprise

2000+

respondents in 26 countries

US$493 bn

in digital revenue gains p.a.

US$421 bn

p.a. in cost and efficiency gains

US$907 bn

in annual digital investments

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