Modeling for Global Management of Complex Product Subject Data Oriented at Big-Data

Abstract:

Complex-product manufacturers are encountered with heterogeneous data structure in business information systems (BIS) and disconnection between product data management (PDM) and overall corporate demands. In this paper, we aim to overcome these defects. Targeting at the PDM-related business domains, we proposed the concept of subject-based integration and global management of complex product data. We analyzed the advantages of product data resource models built at corporate level and studied the major methods for planning of complex product subject database. We defined a C-U matrix described by business process class and product data class, and thereby built a framework of complex product data resources corresponding to business process models and data models. Using materials as the basic management object, we also proposed the structure of a complex product subject data system and provided the method for generalized organization of global product data. Based on this, we built a model for complex product subject database and used data adapters to build the mapping between BIS source data and product subject database. We achieved cross-BIS integration and global management of complex product data oriented at big data.

• Periodical: Key Engineering Materials (Volume 621)
• Pages: 725-733
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.621.725
• Online since: August 2014
• Authors: Dai Wu, Guo Fu Yin
• Keywords: Framework of Product Data Resources, Global Management of Product Data, Model of Product Data Structure, Subject of Complex-Product Data Management

References

[1] Q. Li, G. Zhang: Electrical and Mechanical Product Development, vol. 20 (2007), pp.101-103.

[2] Y. Cui, Z Wu, X. Feng: Mechanical & Electrical Engineering Magazine, Vol. 9 (2009), pp.1-4.

[3] C. Tang, Z. Luo, Y. Dai: Precise Manufacturing & Automation, Vol. 4, (2009).

[4] J. Rao, R. Liu,J. Song, X. Peng, Q. Zeng: Digital Manufacturing Industry, Vol. 1, (2009).

[5] J. Zhang: Science&TechnologyInformation, Vol. 5 (2012), pp.158-159.

[6] F. Gao, S. Wu: Information Engineering and Strategic Data-Planning Methodologies (China Communications Press, Beijing, 1989).

[7] T. Alvin: The Third Wave (CITIC Publishing House, Beijing, 2006).

[8] N. Rod, S. Clint, S. Patrick: Efficient Tool and Method of Strategic Planning (Enterprise Management Publishing House, Beijing, 2011).

[9] M. James: Strategic Data-Planning Methodologies (Prentice-Hall, 1982).

[10] K. Ralph,R. Margy: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (John Wiley & Sons Inc).

DOI: 10.1145/945721.945741

[11] J. Guo, L. Qiao, W. Liu: Computer Integrated Manufacturing System, Vol. 1 (2005), pp.1-9.

[12] F. Xie, B. Wang, L. Shi, Y. Jiang: Computer Engineering, Vol. 35-9 (2009), pp.79-81.

[13] W. Wu, Z. Li: Journal Sichuan University (Natural Science Edition), Vol. 44 (2007), pp.513-516.