A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects

Messa Alhammadi; Hamdi Bashir

doi:doi:10.11648/j.eas.20210601.12

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A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects

Messa Alhammadi, Hamdi Bashir

Published in Engineering and Applied Sciences (Volume 6, Issue 1)

Received: 6 February 2021 Accepted: 11 March 2021 Published: 17 March 2021

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Abstract

Developing a complex product in a concurrent engineering environment requires managing information flow among ten or even hundreds of people of different specialties organized in a large number of product development (PD) teams. Managing these teams effectively requires understanding the level of information dependencies among them which are often vague and cannot be precisely predicted. Taking into account the limitations of relevant previous studies, this article proposes a fuzzy-social network analysis approach for modeling and analyzing the information flow among PD teams. The approach involves four major steps: mapping of dependencies, measuring the level of information dependencies based on the fuzzy set theory, visualizing the network, and performing quantitative analysis using three measures (network density, in-degree centrality, and out-degree centrality). To validate its practicality, the approach is used to model and analyze the dependencies among 22 PD teams in a real project adapted from the literature and involved developing an automobile engine. An advantage of the approach is that in addition to providing a holistic view of the interactions among PD teams, it permits PD project managers to identity the most important PD teams with respect to information flow control using a proposed new classification system that classifies PD teams under four categories: autonomous, receivers, transmitters, and transceivers.

Published in	Engineering and Applied Sciences (Volume 6, Issue 1)
DOI	10.11648/j.eas.20210601.12
Page(s)	18-25
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Concurrent Engineering, Product Development Teams, Information Flow, Fuzzy, Social Network Analysis

References

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APA Style

Messa Alhammadi, Hamdi Bashir. (2021). A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects. Engineering and Applied Sciences, 6(1), 18-25. https://doi.org/10.11648/j.eas.20210601.12

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ACS Style

Messa Alhammadi; Hamdi Bashir. A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects. Eng. Appl. Sci. 2021, 6(1), 18-25. doi: 10.11648/j.eas.20210601.12

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AMA Style

Messa Alhammadi, Hamdi Bashir. A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects. Eng Appl Sci. 2021;6(1):18-25. doi: 10.11648/j.eas.20210601.12

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@article{10.11648/j.eas.20210601.12,
  author = {Messa Alhammadi and Hamdi Bashir},
  title = {A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects},
  journal = {Engineering and Applied Sciences},
  volume = {6},
  number = {1},
  pages = {18-25},
  doi = {10.11648/j.eas.20210601.12},
  url = {https://doi.org/10.11648/j.eas.20210601.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eas.20210601.12},
  abstract = {Developing a complex product in a concurrent engineering environment requires managing information flow among ten or even hundreds of people of different specialties organized in a large number of product development (PD) teams. Managing these teams effectively requires understanding the level of information dependencies among them which are often vague and cannot be precisely predicted. Taking into account the limitations of relevant previous studies, this article proposes a fuzzy-social network analysis approach for modeling and analyzing the information flow among PD teams. The approach involves four major steps: mapping of dependencies, measuring the level of information dependencies based on the fuzzy set theory, visualizing the network, and performing quantitative analysis using three measures (network density, in-degree centrality, and out-degree centrality). To validate its practicality, the approach is used to model and analyze the dependencies among 22 PD teams in a real project adapted from the literature and involved developing an automobile engine. An advantage of the approach is that in addition to providing a holistic view of the interactions among PD teams, it permits PD project managers to identity the most important PD teams with respect to information flow control using a proposed new classification system that classifies PD teams under four categories: autonomous, receivers, transmitters, and transceivers.},
 year = {2021}
}

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TY  - JOUR
T1  - A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects
AU  - Messa Alhammadi
AU  - Hamdi Bashir
Y1  - 2021/03/17
PY  - 2021
N1  - https://doi.org/10.11648/j.eas.20210601.12
DO  - 10.11648/j.eas.20210601.12
T2  - Engineering and Applied Sciences
JF  - Engineering and Applied Sciences
JO  - Engineering and Applied Sciences
SP  - 18
EP  - 25
PB  - Science Publishing Group
SN  - 2575-1468
UR  - https://doi.org/10.11648/j.eas.20210601.12
AB  - Developing a complex product in a concurrent engineering environment requires managing information flow among ten or even hundreds of people of different specialties organized in a large number of product development (PD) teams. Managing these teams effectively requires understanding the level of information dependencies among them which are often vague and cannot be precisely predicted. Taking into account the limitations of relevant previous studies, this article proposes a fuzzy-social network analysis approach for modeling and analyzing the information flow among PD teams. The approach involves four major steps: mapping of dependencies, measuring the level of information dependencies based on the fuzzy set theory, visualizing the network, and performing quantitative analysis using three measures (network density, in-degree centrality, and out-degree centrality). To validate its practicality, the approach is used to model and analyze the dependencies among 22 PD teams in a real project adapted from the literature and involved developing an automobile engine. An advantage of the approach is that in addition to providing a holistic view of the interactions among PD teams, it permits PD project managers to identity the most important PD teams with respect to information flow control using a proposed new classification system that classifies PD teams under four categories: autonomous, receivers, transmitters, and transceivers.
VL  - 6
IS  - 1
ER  -

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Author Information

Messa Alhammadi

Department of Industrial Engineering and Engineering Management, University of Sharjah, Sharjah, United Arab Emirates
Hamdi Bashir

Department of Industrial Engineering and Engineering Management, University of Sharjah, Sharjah, United Arab Emirates

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APA Style

Messa Alhammadi, Hamdi Bashir. (2021). A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects. Engineering and Applied Sciences, 6(1), 18-25. https://doi.org/10.11648/j.eas.20210601.12

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ACS Style

Messa Alhammadi; Hamdi Bashir. A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects. Eng. Appl. Sci. 2021, 6(1), 18-25. doi: 10.11648/j.eas.20210601.12

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AMA Style

Messa Alhammadi, Hamdi Bashir. A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects. Eng Appl Sci. 2021;6(1):18-25. doi: 10.11648/j.eas.20210601.12

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@article{10.11648/j.eas.20210601.12,
  author = {Messa Alhammadi and Hamdi Bashir},
  title = {A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects},
  journal = {Engineering and Applied Sciences},
  volume = {6},
  number = {1},
  pages = {18-25},
  doi = {10.11648/j.eas.20210601.12},
  url = {https://doi.org/10.11648/j.eas.20210601.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eas.20210601.12},
  abstract = {Developing a complex product in a concurrent engineering environment requires managing information flow among ten or even hundreds of people of different specialties organized in a large number of product development (PD) teams. Managing these teams effectively requires understanding the level of information dependencies among them which are often vague and cannot be precisely predicted. Taking into account the limitations of relevant previous studies, this article proposes a fuzzy-social network analysis approach for modeling and analyzing the information flow among PD teams. The approach involves four major steps: mapping of dependencies, measuring the level of information dependencies based on the fuzzy set theory, visualizing the network, and performing quantitative analysis using three measures (network density, in-degree centrality, and out-degree centrality). To validate its practicality, the approach is used to model and analyze the dependencies among 22 PD teams in a real project adapted from the literature and involved developing an automobile engine. An advantage of the approach is that in addition to providing a holistic view of the interactions among PD teams, it permits PD project managers to identity the most important PD teams with respect to information flow control using a proposed new classification system that classifies PD teams under four categories: autonomous, receivers, transmitters, and transceivers.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - A Fuzzy-Network Analysis Approach for Modeling and Analyzing Team Dependencies in Product Development Projects
AU  - Messa Alhammadi
AU  - Hamdi Bashir
Y1  - 2021/03/17
PY  - 2021
N1  - https://doi.org/10.11648/j.eas.20210601.12
DO  - 10.11648/j.eas.20210601.12
T2  - Engineering and Applied Sciences
JF  - Engineering and Applied Sciences
JO  - Engineering and Applied Sciences
SP  - 18
EP  - 25
PB  - Science Publishing Group
SN  - 2575-1468
UR  - https://doi.org/10.11648/j.eas.20210601.12
AB  - Developing a complex product in a concurrent engineering environment requires managing information flow among ten or even hundreds of people of different specialties organized in a large number of product development (PD) teams. Managing these teams effectively requires understanding the level of information dependencies among them which are often vague and cannot be precisely predicted. Taking into account the limitations of relevant previous studies, this article proposes a fuzzy-social network analysis approach for modeling and analyzing the information flow among PD teams. The approach involves four major steps: mapping of dependencies, measuring the level of information dependencies based on the fuzzy set theory, visualizing the network, and performing quantitative analysis using three measures (network density, in-degree centrality, and out-degree centrality). To validate its practicality, the approach is used to model and analyze the dependencies among 22 PD teams in a real project adapted from the literature and involved developing an automobile engine. An advantage of the approach is that in addition to providing a holistic view of the interactions among PD teams, it permits PD project managers to identity the most important PD teams with respect to information flow control using a proposed new classification system that classifies PD teams under four categories: autonomous, receivers, transmitters, and transceivers.
VL  - 6
IS  - 1
ER  -

Copy | Download