Emergency Policy for Perishable Products Supply Chain when Nodes Fail

Kai Fei Liu; Xiao Liu

doi:10.4028/www.scientific.net/AMR.317-319.2097

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 317-319Emergency Policy for Perishable Products Supply...

Emergency Policy for Perishable Products Supply Chain when Nodes Fail

Abstract:

Emergency management is becoming more and more important with the vulnerability increasing in global supply chain. An effective policy which is emergency strategy stock based for perishable supply chain emergency scheduling with a failed produce node has been proposed. Mixed integer programming model was build under the inventory policy of perishable products which include both of raw materials and finished products. The simulation results show that our policy of the model is effective, and could solve these problems completely.

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Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

2097-2102

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.2097

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Online since:

August 2011

Authors:

Kai Fei Liu, Xiao Liu

Keywords:

Emergency Scheduling, Emergency Strategy Stocks, Nodes Failed, Perishable Products, Production and Delivery

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References

[1] Chen Huey-kuo, Hsueh Che-fu, Chang Mei-shiang: Computer & Operation Research. Vol. 36 (2009), p.2311.

Google Scholar

[2] Bedford: Executive report--Supply chain vulnerability (Report, Cranfield University 2002).

Google Scholar

[3] Barry Alan Pasternack: Marketing Science, Vol.27 (2008), p.133.

Google Scholar

[4] S.K. Goyal, B.C. Giri: European Journal of Operational Research, Vol. 134 (2001), p.1.

Google Scholar

[5] Wang, C.X., Webster, S.: European Journal of Operational Research. Vol.196 (2009), p.1113.

Google Scholar

[6] Naso D, Surico M, Turchiano B: Studies in Computational Intelligence. Vol.49 (2007), p.465.

Google Scholar

[7] Osvald, A., Stirn, L.Z.: Journal of Food Engineering,Vol.85 (2008), p.285.

Google Scholar

[8] EntrupML, GuntherH-O, VanBeekP, GrunowM, SeilerT.: International Journal of Production Research. Vol. 43(2005), p.5071.

Google Scholar

[9] Bogataj, M., Bogataj, L., Vodopivec, R., International Journal of Production Economics, Vol. 93 (2005), p.345.

DOI: 10.1016/j.ijpe.2004.06.032

Google Scholar

[10] Craig L. Williams, B. Eddy Patuwo: European Journal of Operational Research, Vol.116 (1999), p.352.

Google Scholar