Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

An Optimization Method on Task Distribution at Dynamic Enterprise Alliance

Authors
Tie-jiang Yang
Corresponding Author
Tie-jiang Yang
Available Online February 2017.
DOI
10.2991/icmeim-17.2017.80How to use a DOI?
Keywords
Enterprise alliance, Task distribution, Threshold
Abstract

This paper analyses the needs of task distribution for dynamic enterprise alliance, and then proposes a fuzzy algorithm which gathers the tasks from enterprise to subprojects in alliance It assigns values to the degrees of interactions of the task modules, and creates each adjacency matrix. It then performs fuzzy aggregation to the adjacency matrices by setting different thresholds. By combining the aggregation degree in the tasks modules with the separation degree between the modules, setting it as judge standard, and then, the values of the fitness function at different thresholds can be calculated. It finally obtains the best scheme of tasks modules distribution by using the threshold corresponding to the maximum fitness function.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
Series
Advances in Engineering Research
Publication Date
February 2017
ISBN
978-94-6252-317-3
ISSN
2352-5401
DOI
10.2991/icmeim-17.2017.80How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tie-jiang Yang
PY  - 2017/02
DA  - 2017/02
TI  - An Optimization Method on Task Distribution at Dynamic Enterprise Alliance
BT  - Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 471
EP  - 476
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.80
DO  - 10.2991/icmeim-17.2017.80
ID  - Yang2017/02
ER  -