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Journal of Applied Mathematics
Volume 2013 (2013), Article ID 306704, 12 pages
http://dx.doi.org/10.1155/2013/306704
Research Article

Petri Net-Based R&D Process Modeling and Optimization for Composite Materials

The Key Laboratory of Machinery Automation and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Mailbox 232, No. 149 Yanchang Road, Shanghai 200072, China

Received 7 June 2013; Accepted 27 August 2013

Academic Editor: Chong Lin

Copyright © 2013 Xiaomei Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Considering the current R&D process for new composite materials involves some complex details, such as formula design, specimen/sample production, materials/sample test, assessment, materials/sample feedback from customers, and mass production, the workflow model of Petri net-based R&D process for new composite materials’ is proposed. By analyzing the time property of the whole Petri net, the optimized model for new composite materials R&D workflow is further proposed. By analyzing the experiment data and application in some materials R&D enterprise, it is demonstrated that the workflow optimization model shortens the period of R&D on new materials for 15%, definitely improving the R&D efficiency. This indicates the feasibility and availability of the model.