Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2021, Cilt: 13 Sayı: 1, 116 - 116, 30.07.2021
https://doi.org/10.17261/Pressacademia.2021.1442

Öz

Kaynakça

  • Feng Xiang, Yuan yuan Huang, Zhi Zhang, Ying Zuo, (2020). Digital twin driven energy-aware green design,vEditor(s): Fei Tao, Ang Liu, Tianliang Hu, A.Y.C. Nee,Digital Twin Driven Smart Design,Academic Press, 165-184, ISBN 9780128189184.
  • Li, Lianhui, Mao, Chunlei, Sun, Hongxia, Yuan, Yiping and Lei, Bingbing, (2020). Digital Twin Driven Green Performance Evaluation Methodology of Intelligent Manufacturing: Hybrid Model Based on Fuzzy Rough-Sets AHP, Multistage Weight Synthesis, and PROMETHEE II”, Complexity in Economics and Business, Vol. 2020, Article ID 3853925, 1-24.
  • Shanghua Mi, Yixiong Feng, Hao Zheng, Yong Wang, Yicong Gao, Jianrong Tan, (2021). Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework, Journal of Manufacturing Systems, V.58, 329-345, ISSN 0278-6125.
  • Sihan Huang, Guoxin Wang, Yan Yan, Xiongbing Fang, (2020). Blockchain-based data management for digital twin of product. Journal of Manufacturing Systems, V. 54, 361-371.
  • Wenjun Xu, Jia Cui, Lan Li, Bitao Yao, Sisi Tian, Zude Zhou, (2021). Digital twin-based industrial cloud robotics: Framework, control approach and implementation. Journal of Manufacturing Systems, V. 58, 196-209

PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE

Yıl 2021, Cilt: 13 Sayı: 1, 116 - 116, 30.07.2021
https://doi.org/10.17261/Pressacademia.2021.1442

Öz

Purpose- Recently, digital twin technologies have been frequently used in projects in the digital transformation processes of businesses. In
digital twin processes; there are many different reasons for choosing the machines to be used, such as cost, purpose of use of the business,
technology level of the business. In this study, it is aimed to prioritize the factors affecting the machines to be used in digital twin processes.
Methodology- Digital twin processes has brought the uncertainty process for businesses. This situation requires decision making under
uncertainty. The decision-making process under uncertainty requires the examination of many value judgments together.Digital twin
processes has brought the uncertainty process for businesses. This situation requires decision making under uncertainty. The decision-making
process under uncertainty requires the examination of many value judgments together. For this reason, in order to make the right decisions
in projects, the prioritization of the factors affecting the digital transformation processes was carried out by taking expert opinion. In this
study, the Spherical Fuzzy AHP method, which was newly introduced to the literature, has been used. For this purpose, 5 important criteria
were determined from the literature and expert opinions. Three expert opinions have been received.
Findings- The results of the model have showed that simulation process is the most important criteria for the selection of machines used in
digital twin processes. And sensor based systems are the least important criteria for digital twin processes. ,
Conclusion- In this study, prioritizing factors in the selection of machines used in digital twin processes have been examined. For this purpose,
the mechanization processes to be used in digital twin processes bring many control points in the background. In this study, the prioritization
of the machinery and equipment to be used has been made by taking expert opinion. Opinions have been received from 3 experts in the
field. The Spherical Fuzzy AHP method, which is one of the fuzzy decision-making sets, which has been recently introduced to the literature,
has been used. In the study, it is expected to contribute to the literature by using digital twin technology for the first time with a multi-criteria
decision-making methodology.

Kaynakça

  • Feng Xiang, Yuan yuan Huang, Zhi Zhang, Ying Zuo, (2020). Digital twin driven energy-aware green design,vEditor(s): Fei Tao, Ang Liu, Tianliang Hu, A.Y.C. Nee,Digital Twin Driven Smart Design,Academic Press, 165-184, ISBN 9780128189184.
  • Li, Lianhui, Mao, Chunlei, Sun, Hongxia, Yuan, Yiping and Lei, Bingbing, (2020). Digital Twin Driven Green Performance Evaluation Methodology of Intelligent Manufacturing: Hybrid Model Based on Fuzzy Rough-Sets AHP, Multistage Weight Synthesis, and PROMETHEE II”, Complexity in Economics and Business, Vol. 2020, Article ID 3853925, 1-24.
  • Shanghua Mi, Yixiong Feng, Hao Zheng, Yong Wang, Yicong Gao, Jianrong Tan, (2021). Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework, Journal of Manufacturing Systems, V.58, 329-345, ISSN 0278-6125.
  • Sihan Huang, Guoxin Wang, Yan Yan, Xiongbing Fang, (2020). Blockchain-based data management for digital twin of product. Journal of Manufacturing Systems, V. 54, 361-371.
  • Wenjun Xu, Jia Cui, Lan Li, Bitao Yao, Sisi Tian, Zude Zhou, (2021). Digital twin-based industrial cloud robotics: Framework, control approach and implementation. Journal of Manufacturing Systems, V. 58, 196-209
Toplam 5 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Finans, İşletme
Bölüm Makaleler
Yazarlar

Ezgi Demır Bu kişi benim 0000-0002-7335-5094

Yayımlanma Tarihi 30 Temmuz 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 13 Sayı: 1

Kaynak Göster

APA Demır, E. (2021). PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE. PressAcademia Procedia, 13(1), 116-116. https://doi.org/10.17261/Pressacademia.2021.1442
AMA Demır E. PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE. PAP. Temmuz 2021;13(1):116-116. doi:10.17261/Pressacademia.2021.1442
Chicago Demır, Ezgi. “PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE”. PressAcademia Procedia 13, sy. 1 (Temmuz 2021): 116-16. https://doi.org/10.17261/Pressacademia.2021.1442.
EndNote Demır E (01 Temmuz 2021) PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE. PressAcademia Procedia 13 1 116–116.
IEEE E. Demır, “PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE”, PAP, c. 13, sy. 1, ss. 116–116, 2021, doi: 10.17261/Pressacademia.2021.1442.
ISNAD Demır, Ezgi. “PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE”. PressAcademia Procedia 13/1 (Temmuz 2021), 116-116. https://doi.org/10.17261/Pressacademia.2021.1442.
JAMA Demır E. PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE. PAP. 2021;13:116–116.
MLA Demır, Ezgi. “PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE”. PressAcademia Procedia, c. 13, sy. 1, 2021, ss. 116-, doi:10.17261/Pressacademia.2021.1442.
Vancouver Demır E. PRIORITIZING THE FACTORS AFFECTING THE SELECTION OF MACHINES USED IN DIGITAL TWIN PROCESSES: A BUSINESS EXAMPLE. PAP. 2021;13(1):116-.

PressAcademia Procedia (PAP) publishes proceedings of conferences, seminars and symposiums. PressAcademia Procedia aims to provide a source for academic researchers, practitioners and policy makers in the area of social and behavioral sciences, and engineering.

PressAcademia Procedia invites academic conferences for publishing their proceedings with a review of editorial board. Since PressAcademia Procedia is an double blind peer-reviewed open-access book, the manuscripts presented in the conferences can easily be reached by numerous researchers. Hence, PressAcademia Procedia increases the value of your conference for your participants. 

PressAcademia Procedia provides an ISBN for each Conference Proceeding Book and a DOI number for each manuscript published in this book.

PressAcademia Procedia is currently indexed by DRJI, J-Gate, International Scientific Indexing, ISRA, Root Indexing, SOBIAD, Scope, EuroPub, Journal Factor Indexing and InfoBase Indexing. 

Please contact to procedia@pressacademia.org for your conference proceedings.