Game Models of Green Supply Chain Involved the Third Party Logistics

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Abstract:

The green supply chain consisting of the third party logistics and retailer is as the background.Some factors are considered such as product green degree, carbon tax and consumer preferences. Two kinds of green supply chain game models are set up: Stackelberg game model dominated by the third party logistics,Stackelberg game model dominated by retailer. The game models are compared, and finally the numerical simulation has been carried on.Study shows that in the game models, with the improvement of product green degree, product price, logistics price, profit of the third party logistics, the profits of retailer and the supply chain will increase;With the increase of carbon tax, product price and logistics price also unceasingly increase.

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727-733

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhu Qinghua, Dou yiJie. Green Supply Chain Nanagement Game Model based on Government Subsidies [J]. Management Science, 2011, 14 (6) : 86-95. (in Chinese).

Google Scholar

[2] Dai Yuan-cheng. Haier starts green strategy [N], Southern Daily, 2011-11-24.

Google Scholar

[3] Min H, Kim I, Green supply chain research: past, present and future[J]. Logistics Research, 2012, 4: 39-47.

DOI: 10.1007/s12159-012-0071-3

Google Scholar

[4] Wang Neng China, Wang Ying Luo Yang Tong. Research and Trends on Green Supply Chain Management [J]. Management Engineering, 2007, 21 (2): 118 - 122. (in Chinese).

Google Scholar

[5] Zhang Shuhong. Review and Prospect onGreen Supply Chain Management [J]. Logistics Technology, 211 (2) : 177-181. (in Chinese).

Google Scholar

[6] Cao Jian, Wu Xiaobo, ZHOU Gengui. Green Supply Chain Coordination Strategy based on product effectiveness heterogeneity [J]. Computer Integrated Manufacturing Systems, 2011, 17 (6) : 1279-1286. (in Chinese).

Google Scholar

[7] Debabrata G, Janat S. A comparative analysis of greening policies across supply chain structures[J]. Int.J. Production Economics, 2012, 135: 568–583.

DOI: 10.1016/j.ijpe.2011.05.027

Google Scholar

[8] Prajogo D, Olhager J. Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration[J]. International Journal of Production Economics, 2012, 135(1): 514-522.

DOI: 10.1016/j.ijpe.2011.09.001

Google Scholar

[9] Turrisi M, Bruccoleri M, Cannella S. Impact of reverse logistics on supply chain performance[J]. International Journal of Physical Distribution & Logistics Management, 2013, 43(7): 5-5.

DOI: 10.1108/ijpdlm-04-2012-0132

Google Scholar

[10] Peter J.H. L and Carl M W. Pricing Third-Party logistics services: integrating insights from the logistics and industrial services literature[J]. Transportation Journal , SPRING, 2010, 49(2): 24-43.

DOI: 10.5325/transportationj.49.2.0024

Google Scholar

[11] Ülküa M. A, James H. B. Optimal quoting of delivery time by a third party logistics provider: The impact of shipment consolidation and temporal pricing schemes Production[J]. Manufacturing and Logistics, 2012, 221(1): 110–117.

DOI: 10.1016/j.ejor.2012.03.021

Google Scholar

[12] Li yuan, zhao daozhi, xiao-guang zhu. Game model of the government and the enterprise behavior based on carbon tax[J]. Journal of resources science, 2013, 35 (1) : 125-131.

Google Scholar