Non-Deterministic Polynomial Application in Financing-Stability Based Manufacturing Production Planning

Abstract:

Concerning the managing policy of the ASC in Integrated Infrastructure for Agile Enterprise(IIAE), the author mainly researches on the algorithm of agile manufacturing plan and the management of the supply chain, and promotes the production planning algorithm based on the multiple product requirement, one of the Non-deterministic Polynomial problems about the stability of fund and its resolvent algorithm. The author thereupon promotes an effective Game playing algorithm for the cooperation in enterprises, profit distribution and maximization, and effectively improves the economic performances of individuals and the determining efficiency in the ASC. This paper is one of the series of papers about the design of Agile Infrastructure for Collaborative Manufacturing as well as Agile Supply Chain. This one lays emphasis upon the design of the optimal production planning algorithm to keep the manufacture financing stability in product cycle. We mainly concern and research into the optimal production planning including the problem solved in manufacture financing by optimal product schedule, the analysis of chaotic neural network optimization algorithm, the solution to the problem & algorithm design in optimal strategy for production. Their logical relationship and flow chart designs are elaborated in turn. The paper tries to introduce the research of Agile Infrastructure and its key technologies, showing how well they work in some traditional manual industries.

• Periodical: Applied Mechanics and Materials (Volumes 220-223)
• Pages: 229-232
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.220-223.229
• Online since: November 2012
• Authors: Jin Long Su
• Keywords: Financing-Stability, IIAE, Manufacturing Production Planning, Non-Deterministic Polynomial

References

[1] Astrom K J, Wittenmark B. Self-tuning controllers based on pole-zero placement [J]. IEE Pro-D,1990,127(3):120-130

DOI: 10.1049/ip-d.1980.0018

[2] Bryson N. Group decision-making and analytic hierarchy process: exploring the consensus-relevant information content. In: Computer Ops. Res. 1996, 123(1): 27-35

DOI: 10.1016/0305-0548(96)00002-h

[3] Broomhead D S.Lowe D. Multivariable functional interpolation and adaptive networks[J], Complex System,1988,2(4):321-355

[4] Habib I,Tarraf A, Saadawi T. A neural network controller for congestion control in ATM multiplexers. Computer Networks and ISDN Systems, 1997,29: 325-334

DOI: 10.1016/s0169-7552(96)00099-2

[5] B. Bauer, J. Muller, and J. Odell. Agent UML: A formalism for specifying multi-agent interaction. In Proc. of the 1st Int. Workshop on Agent-Oriented Software Engineering, AOSE'00, Limerick, Ireland, 2001:91–104

DOI: 10.1007/3-540-44564-1_6

[6] Y. Q. Zhang and A. Kandel (1998) Compensatory neurofuzzy systems with fast learning algorithms,, IEEE Trans. Neural Networks, vol. 9: 83–105.

DOI: 10.1109/72.655032