Latest revision as of 12:31, 15 February 2021

Abstract

This study considers a design problem in the supply chain network of an assembly manufacturing enterprise with economies of scale and environmental concerns. The study aims to obtain a rational tradeoff between environmental influence and total cost. A mixed-integer nonlinear programming model is developed to determine the optimal location and size of regional distribution centers (RDCs) and the investment of environmental facilities considering the effects of economies of scale and CO<jats:sub>2</jats:sub> emission taxes. Numerical examples are provided to illustrate the applications of the proposed model. Moreover, comparative analysis of the related key parameters is conducted (i.e., carbon emission tax, logistics demand of customers, and economies of scale of RDC), to explore the corresponding effects on the network design of a green supply chain. Moreover, the proposed model is applied in an actual case—network design of a supply chain of an electric meter company in China. Findings show that (i) the optimal location of RDCs is affected by the demand of customers and the level of economies of scale and that (ii) the introduction of CO<jats:sub>2</jats:sub> emission taxes will change the structure of a supply chain network, which will decrease CO<jats:sub>2</jats:sub> emissions per unit shipment.

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• http://downloads.hindawi.com/journals/jat/2017/6350562.pdf under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.1155/2017/6350562 under the license cc-by

• http://downloads.hindawi.com/journals/jat/2017/6350562.pdf,

http://downloads.hindawi.com/journals/jat/2017/6350562.xml,

http://dx.doi.org/10.1155/2017/6350562

• http://dx.doi.org/10.1155/2017/6350562,

https://doaj.org/toc/0197-6729,

https://doaj.org/toc/2042-3195 under the license http://creativecommons.org/licenses/by/4.0/

• https://www.hindawi.com/journals/jat/2017/6350562,

http://downloads.hindawi.com/journals/jat/2017/6350562.pdf,

https://core.ac.uk/display/88193495,

https://doaj.org/article/5f5654c6df404a99a0e314a0e3a46b7e,

https://doi.org/10.1155%2f2017%2f6350562,

https://academic.microsoft.com/#/detail/2606516030