DocumentCode :
695424
Title :
A Collaborative Manufacturing Collective
Author :
Dozier, Ken ; Chang, David
Author_Institution :
Western Res. Applic. Center, Univ. of Southern California, Los Angeles, CA, USA
fYear :
2015
fDate :
5-8 Jan. 2015
Firstpage :
3851
Lastpage :
3859
Abstract :
The extent of collaboration among the companies in a manufacturing network impacts the parametric fluctuations in the network. This is displayed explicitly by the form of the network´s normal modes. By gradually increasing the number of companies that actively collaborate, it is possible to see how the form of the normal modes changes. Initial understanding of this normal mode´s resonant damping was developed using a LOGICS (Learning Object Game Immersed Complex Systems) simulation. A traditional fluctuation-plagued supply chain was transformed into an efficient collaborative manufacturing collective. The improvement is achieved while still honoring the desire of individual companies not to directly share what might be considered proprietary information with another company. The method is extendable and should be applicable to more complex adaptive cloud-coordinated manufacturing networks in which efficiency is obtained by system-wide LOGICS-based feedback to individual companies.
Keywords :
cloud computing; manufacturing data processing; supply chain management; collaborative manufacturing; complex adaptive cloud-coordinated manufacturing networks; fluctuation-plagued supply chain; learning object game immersed complex systems simulation; system-wide LOGICS-based feedback; Collaboration; Companies; Dispersion; Equations; Manufacturing; Supply chains; collaborative; complex systems; manufacturing; networks; supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
ISSN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2015.462
Filename :
7070281
Link To Document :
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