Risk Assessment for Remanufacturing System Based on Neural Network

Abstract:

To provide referenced risk assessment model for implementing remanufacturing program in enterprise, a set of evaluating indicators was proposed according to the characteristics of the remanufacturing program’s life cycle, which includes acquisition, assessment, disassembly, reproducing and reprocessing phases; And Back Propagation neural network (BPNN) was applied to measure the risk of the remanufacturing system as evaluating method; In addition, the influence of the evaluating indicators on the output was calculated by the Relationship Function between the networked weights, so the key indicators can be found out. The risk assessment model is trained by five samples obtained from the Internet, and is verified by the case of one machining tools company.

• Periodical: Advanced Materials Research (Volumes 204-210)
• Pages: 1382-1385
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.204-210.1382
• Online since: February 2011
• Authors: Qiu Lian Wang, Cong Bo Li
• Keywords: BP Neural Network (BPNN), Remanufacturing, Risk Assessment

References

[1] T. Graedel, B. Allenby: Industrial ecology (Englewood Cliffs, NJ: Prentice-Hall 1994).

[2] L.J. Liu, in Analysis of reverse logistics cost and risk, edited by Tianjin university of technology, China (2008).

[3] D.W. Yin, in: The risk evaluation and countermeasure research on petrochemical enterprise of reverse logistics, edited by Daqing petroleum institute, China (2008).

[4] B.S. Xu, W. Zhang, S.N. Ma, et al: China surface engineering, Vol. 6 (1999), p.1.

[5] C. D. White, E. Masanet, C. M. Rosen, et al: Journal of cleaner production, Vol. 11 (2003), p.445.