Design of Carbon Efficient Online Logistics Networks

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Abstract:

With development of internet network, more traditional brick-and-mortar firms sell products via online channels. The key feature of online channels is home delivery, hence, how to design efficient online logistics networks has been the core problem faced by online firms. Furthermore, with increasing pollution of ecological environment and global warming, more carbon emission regulations enacted and implemented also impact firms operation and decision. This paper mainly study online logistics networks design constraint from carbon emission regulations. We analyze the following three types of networks, dropping delivery network (D), delivery network via distribution center (W), and last mile delivery network (L). Combining carbon emission from inbound and outbound transportation, and emission from inventory storage, we design optimal logistics networks and then analyze online logistics network design of Sunfeng best choice firm.

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Advanced Materials Research (Volumes 962-965)

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1444-1449

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Grau: Retail e-commerce forecast: Cautious optimism. eMarketer Report (June). (2009).

Google Scholar

[2] B. Tedeschi: Compressed data; big companies go slowly in devising net strategy. New York Times, 2000-3-27.

Google Scholar

[3] J. Russell: ComScore: Black Friday online sales hit $1. 2 billion, with Amazon the top retailer, 2013-12-2.

Google Scholar

[4] E. Ofek, Z. Katona and M. Sarvary: Bricks and Clicks,: The Impact of Product Returns on the Strategies of Multichannel Retailers. Marketing Science Vol. 30(2011), 42–60.

DOI: 10.1287/mksc.1100.0588

Google Scholar

[5] European Commission. Questions and Answers on Emissions Trading and National Allocation Plans. (2008).

Google Scholar

[6] F. Caro, C. L. Corbett, T. Tan and R. Zuidwijk: Carbon-optimal and carbon-neutral supply chains. Working paper, Anderson School of Management, Los Angeles. (2011).

DOI: 10.2139/ssrn.1947343

Google Scholar

[7] F. J. Chonnikarn and M. W. Toffel: Engaging supply chains in climate change. Working Paper, Harvard Business School. (2011).

Google Scholar

[8] S. Benjaafar, Y. Li and M. Daskin: Carbon footprint and the management of supply chains: Insights from simple models. Working Paper, Industrial and Systems Engineering, University of Minnesota. (2011).

Google Scholar

[9] C. Chen: Design for the environment: A quality-based model for green product development. Management Science Vol. 47(2001), 250-263.

Google Scholar

[10] K. M. R. Hoen, T. Tan, J. C. Fransoo and G. L. van Houtum: Effect of carbon emission regulations on transport mode selection under stochastic demand. Working Paper, Eindhoven University of Technology, The Netherlands. (2011).

DOI: 10.1007/s10696-012-9151-6

Google Scholar

[11] B. Sundarakani, R. de Souza, M. Goh, S. M. Wagner and S. Manikandan: Modeling carbon footprints across the supply chain. International Journal of Production Economics Vol. 128(2010), 43–50.

DOI: 10.1016/j.ijpe.2010.01.018

Google Scholar

[12] E. Plambeck: Reducing greenhouse gas emissions through operations and supply chain management. Energy Economics Vol. 34 (2012), S64-S74.

DOI: 10.1016/j.eneco.2012.08.031

Google Scholar

[13] G. P. Cachon: Supply chain design and the cost of greenhouse gas emissions. Management Science, Published online in Articles in Advance 27 Jan (2014).

Google Scholar

[14] H. Scott Matthews, C. T. Hendrickson and D L. Soh: Environmental and economic effects of e-commerce: A case study of book publishing and retail logistics. Transportation Research Record 1763 Paper No. 01-2802, (2008).

DOI: 10.3141/1763-02

Google Scholar

[15] W. K. Chiang, D. Chhajed and J. D. Hess: Direct marketing, indirect profits: A strategic analysis of dual-channel supply-chain design. Management Science Vol. 49(2003), 1–20.

DOI: 10.1287/mnsc.49.1.1.12749

Google Scholar

[16] L. Hsiao and Y. Chen: Returns policy and quality risk in e-business. Production and Operation Management Vol. 21(2012), 489–503.

Google Scholar