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