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1
Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus: Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA
Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus: Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA
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Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus: Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA

ISBN: 9783031183263 ;ISBN: 3031183266 ;ISBN: 9783031183256 ;ISBN: 3031183258 ;EISBN: 9783031183263 ;EISBN: 3031183266 ;DOI: 10.1007/978-3-031-18326-3

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2
Smart manufacturing: Characteristics, technologies and enabling factors
Smart manufacturing: Characteristics, technologies and enabling factors
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Smart manufacturing: Characteristics, technologies and enabling factors

Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture, 2019-04, Vol.233 (5), p.1342-1361 [Peer Reviewed Journal]

IMechE 2017 ;ISSN: 0954-4054 ;EISSN: 2041-2975 ;DOI: 10.1177/0954405417736547

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3
Digital innovation ecosystem and innovation of SMEs: A case study of Anker
Digital innovation ecosystem and innovation of SMEs: A case study of Anker
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Digital innovation ecosystem and innovation of SMEs: A case study of Anker

SHS Web of Conferences, 2024, Vol.181, p.4034 [Peer Reviewed Journal]

2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2261-2424 ;ISSN: 2416-5182 ;EISSN: 2261-2424 ;DOI: 10.1051/shsconf/202418104034

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4
The effect of the stock price of the green bond issue by companies listed in China: A case study of the manufacturing industry
The effect of the stock price of the green bond issue by companies listed in China: A case study of the manufacturing industry
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The effect of the stock price of the green bond issue by companies listed in China: A case study of the manufacturing industry

SHS Web of Conferences, 2024, Vol.181, p.2004 [Peer Reviewed Journal]

2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2261-2424 ;ISSN: 2416-5182 ;EISSN: 2261-2424 ;DOI: 10.1051/shsconf/202418102004

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5
Game Strategy Selection of Multiple Participants in Cloud Manufacturing Alliance
Game Strategy Selection of Multiple Participants in Cloud Manufacturing Alliance
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Game Strategy Selection of Multiple Participants in Cloud Manufacturing Alliance

SAGE open, 2022-05, Vol.12 (2), p.215824402211010 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is licensed under the Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2158-2440 ;EISSN: 2158-2440 ;DOI: 10.1177/21582440221101051

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6
The Effect of the Adoption of Green Information Technologies on Manufacturing SMEs’ Performance in Aguascalientes, Mexico
The Effect of the Adoption of Green Information Technologies on Manufacturing SMEs’ Performance in Aguascalientes, Mexico
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The Effect of the Adoption of Green Information Technologies on Manufacturing SMEs’ Performance in Aguascalientes, Mexico

Advances in management and applied economics, 2022-09, Vol.12 (5)

2022. This work is published under http://creativecommons.org/licenses/by/2.5/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1792-7544 ;EISSN: 1792-7552

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7
Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing
Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing
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Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing

ISBN: 9781441911193 ;ISBN: 1441911197 ;ISBN: 9781489983640 ;ISBN: 1489983643 ;EISBN: 1441911200 ;EISBN: 9781441911209 ;DOI: 10.1007/978-1-4419-1120-9 ;OCLC: 567139737

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8
Digital twin-based sustainable intelligent manufacturing: a review
Digital twin-based sustainable intelligent manufacturing: a review
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Digital twin-based sustainable intelligent manufacturing: a review

Advances in manufacturing, 2021-03, Vol.9 (1), p.1-21 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 2095-3127 ;EISSN: 2195-3597 ;DOI: 10.1007/s40436-020-00302-5

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9
Advanced manufacturing systems: socialization characteristics and trends
Advanced manufacturing systems: socialization characteristics and trends
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Advanced manufacturing systems: socialization characteristics and trends

Journal of intelligent manufacturing, 2017-06, Vol.28 (5), p.1079-1094 [Peer Reviewed Journal]

Springer Science+Business Media New York 2015 ;Journal of Intelligent Manufacturing is a copyright of Springer, 2017. ;ISSN: 0956-5515 ;EISSN: 1572-8145 ;DOI: 10.1007/s10845-015-1042-8

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10
Directed Energy Deposition (DED) Process: State of the Art
Directed Energy Deposition (DED) Process: State of the Art
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Directed Energy Deposition (DED) Process: State of the Art

International Journal of Precision Engineering and Manufacturing-Green Technology, 2021-03, Vol.8 (2), p.703-742

The Author(s) 2021 ;ISSN: 2288-6206 ;EISSN: 2198-0810 ;DOI: 10.1007/s40684-020-00302-7

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11
mRNA vaccines manufacturing: Challenges and bottlenecks
mRNA vaccines manufacturing: Challenges and bottlenecks
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mRNA vaccines manufacturing: Challenges and bottlenecks

Vaccine, 2021-04, Vol.39 (16), p.2190-2200 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 0264-410X ;EISSN: 1873-2518 ;DOI: 10.1016/j.vaccine.2021.03.038 ;PMID: 33771389

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12
Ar-Ge Yoğunluğu, Tamamlayıcı Varlıklar ve Firma Değeri: Türkiye için Zaman Serisi Bulguları
Ar-Ge Yoğunluğu, Tamamlayıcı Varlıklar ve Firma Değeri: Türkiye için Zaman Serisi Bulguları
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Ar-Ge Yoğunluğu, Tamamlayıcı Varlıklar ve Firma Değeri: Türkiye için Zaman Serisi Bulguları

İstanbul iktisat dergisi (Online), 2020-06, Vol.70 (1), p.47 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2602-4152 ;EISSN: 2602-3954 ;DOI: 10.26650/ISTJECON2020-0017

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13
THE MODEL OF MANUFACTURING INDUSTRIES EMPLOYEE PERFORMANCE
THE MODEL OF MANUFACTURING INDUSTRIES EMPLOYEE PERFORMANCE
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THE MODEL OF MANUFACTURING INDUSTRIES EMPLOYEE PERFORMANCE

International review of management and marketing, 2019-09, Vol.9 (5), p.82-86 [Peer Reviewed Journal]

2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2146-4405 ;EISSN: 2146-4405 ;DOI: 10.32479/irmm.8594

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14
349 Machine safety regulation in the EU and the US
349 Machine safety regulation in the EU and the US
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349 Machine safety regulation in the EU and the US

Injury prevention, 2016-09, Vol.22 (Suppl 2), p.A128-A128 [Peer Reviewed Journal]

2016, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions ;Copyright: 2016 © 2016, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions ;ISSN: 1353-8047 ;EISSN: 1475-5785 ;DOI: 10.1136/injuryprev-2016-042156.349

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15
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods
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Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods

Springer-Verlag London Limited 2007 ;ISSN: 1860-5168 ;ISBN: 1447143752 ;ISBN: 9781447143758 ;ISBN: 9781846288180 ;ISBN: 1846288185 ;ISBN: 9781447143741 ;ISBN: 1447143744 ;EISBN: 1846288193 ;EISBN: 9781846288197 ;EISBN: 1447143752 ;EISBN: 9781447143758 ;DOI: 10.1007/978-1-84628-819-7 ;OCLC: 184955433

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16
Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management
Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management
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Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management

International journal of production research, 2021-04, Vol.59 (7), p.2055-2078 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0020-7543 ;EISSN: 1366-588X ;DOI: 10.1080/00207543.2020.1798035

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17
Roll-to-Roll Manufacturing - Process Elements and Recent Advances
Roll-to-Roll Manufacturing - Process Elements and Recent Advances
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Roll-to-Roll Manufacturing - Process Elements and Recent Advances

2018 ;ISBN: 9781119162209 ;ISBN: 1119162203 ;ISBN: 1119163811 ;ISBN: 9781119163817 ;EISBN: 9781523118458 ;EISBN: 1523118458 ;EISBN: 9781119163800 ;EISBN: 1119163803 ;EISBN: 1119163811 ;EISBN: 9781119163817 ;DOI: 10.1002/9781119163824 ;OCLC: 1008763021

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18
Machine learning in manufacturing: advantages, challenges, and applications
Machine learning in manufacturing: advantages, challenges, and applications
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Machine learning in manufacturing: advantages, challenges, and applications

Production & manufacturing research, 2016-01, Vol.4 (1), p.23-45 [Peer Reviewed Journal]

2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2016 ;ISSN: 2169-3277 ;EISSN: 2169-3277 ;DOI: 10.1080/21693277.2016.1192517

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19
Preface
Preface
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Preface

IOP conference series. Materials Science and Engineering, 2020-11, Vol.999 (1) [Peer Reviewed Journal]

2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1757-8981 ;EISSN: 1757-899X ;DOI: 10.1088/1757-899X/999/1/011001

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20
Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints
Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints
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Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

CIRP annals, 2016, Vol.65 (2), p.737-760 [Peer Reviewed Journal]

Attribution - NonCommercial - NoDerivatives ;ISSN: 0007-8506 ;DOI: 10.1016/j.cirp.2016.05.004

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