Manufacturing Resources Optimal Selection and Rough Production Capability Estimation for Market-Driven Rapid Response Manufacturing

Yan Cao; Zhong Bao Qin; Sen Cao

doi:10.4028/www.scientific.net/AMR.102-104.946

Paper Titles

Evaluation on Product Form Image Using Linguistic Variables Based Fuzzy Analytic Hierarchy Process
p.905

Problems and Countermeasures of the Quality-Tracing Based on Lot Numbers in Manufacture
p.910

A Theoretical Architecture for Regional Manufacturing System
p.915

Study on the Bounded Inventory Model with Returning Items and Disposals
p.920

Knowledge-Based Web Service Environment for 3D Visualization
p.926

NC Tool Selection System Based on Process Features of Part
p.931

Communication Systems for Factory Automation: A Design Approach Based on MMS and WSs Technologies
p.936

Research and Realize on Rental Service System for ASP Software Based on the IPS²
p.941

Manufacturing Resources Optimal Selection and Rough Production Capability Estimation for Market-Driven Rapid Response Manufacturing
p.946

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 102-104Manufacturing Resources Optimal Selection and...

Manufacturing Resources Optimal Selection and Rough Production Capability Estimation for Market-Driven Rapid Response Manufacturing

Abstract:

Market-driven rapid response manufacturing demands manufacturing enterprises to increase their agility and robustness. This leads to more effective and efficient organization, management, planning and control of manufacturing resources in the manufacturing enterprises. In the paper, object-oriented method is adopted and UML is used to establish a manufacturing resource model. Then, all evaluation indices and corresponding hierarchical structure are established based on AHP. Then, the problem of rough capability estimation for Make-to-Order enterprises is described and discussed that deal with production orders of different delivery dates based on limited manufacturing resources. A rough production capability estimation system for Make-to-Order enterprises under limited manufacturing resources constraints is developed on Delphi 7 platform. The approach can be used to rapidly judge whether an enterprise has the capabilities needed to finish production orders on time, and to estimate a new order’s delivery date. The study of the paper lays the foundation for the future research of supply chain and distributed manufacturing.

You might also be interested in these eBooks

Digital Design and Manufacturing Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 102-104)

Pages:

946-950

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.102-104.946

Citation:

Cite this paper

Online since:

March 2010

Authors:

Yan Cao, Zhong Bao Qin, Sen Cao

Keywords:

Estimation, Manufacturing Resource (MR), Optimization Selection, Rough Capability

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Y. F. Gong and Y. Y. Zhang: Journal of Liaoning Technical University (Social Science Edition), Vol. 10 No. 5 (2008), pp.497-499.

Google Scholar

[2] B. Y. Sheng: Journal of Wuahn Automotive Polytechnic University, Vol. 4(2000), pp.19-21.

Google Scholar

[3] F. H. Zeng and M. Long: Statistics & Information Forum, Vol. 23 No. 8(2008), pp.9-14.

Google Scholar

[4] J. F. Ma and G. Q. Zhang,: Computer Technology and Development, Vol. 18 No. 6(2008), pp.174-178.

Google Scholar

[5] H. Y. Yan and H. Y. Li: Computer Integrated Manufacturing Systems, Vol. 14 No. 6(2008), pp.1200-1205, 1212.

Google Scholar

[6] W. T. Ni and J. Zhou: Industrial Engineering Journal, Vol. 11 No. 2(2008), pp.54-57.

Google Scholar

[7] J. Q. Gao, Y. S. Wang and G. X. He: Computer Engineering and Applications, Vol. 43 No. 2(2007), pp.15-17, 28.

Google Scholar

[8] J. J. Wu, B. Z. Li, K. Ye and W. X. Jiang: Journal of Donghua University (Natural Science), Vol. 33 No. 3(2007), pp.290-293, 297.

Google Scholar