Green Supply Chain Network Design with Economies of Scale and Environmental Concerns
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 de...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2017/6350562 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832560871738441728 |
---|---|
author | Dezhi Zhang Fangzi Zou Shuangyan Li Lingyun Zhou |
author_facet | Dezhi Zhang Fangzi Zou Shuangyan Li Lingyun Zhou |
author_sort | Dezhi Zhang |
collection | DOAJ |
description | 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 CO2 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 CO2 emission taxes will change the structure of a supply chain network, which will decrease CO2 emissions per unit shipment. |
format | Article |
id | doaj-art-5f5654c6df404a99a0e314a0e3a46b7e |
institution | Kabale University |
issn | 0197-6729 2042-3195 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-5f5654c6df404a99a0e314a0e3a46b7e2025-02-03T01:26:33ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/63505626350562Green Supply Chain Network Design with Economies of Scale and Environmental ConcernsDezhi Zhang0Fangzi Zou1Shuangyan Li2Lingyun Zhou3School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan 410075, ChinaSchool of Traffic & Transportation Engineering, Central South University, Changsha, Hunan 410075, ChinaSchool of Transportation and Logistics, Central South University of Forestry and Technology, Changsha, Hunan 410004, ChinaSchool of Management Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu 223001, ChinaThis 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 CO2 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 CO2 emission taxes will change the structure of a supply chain network, which will decrease CO2 emissions per unit shipment.http://dx.doi.org/10.1155/2017/6350562 |
spellingShingle | Dezhi Zhang Fangzi Zou Shuangyan Li Lingyun Zhou Green Supply Chain Network Design with Economies of Scale and Environmental Concerns Journal of Advanced Transportation |
title | Green Supply Chain Network Design with Economies of Scale and Environmental Concerns |
title_full | Green Supply Chain Network Design with Economies of Scale and Environmental Concerns |
title_fullStr | Green Supply Chain Network Design with Economies of Scale and Environmental Concerns |
title_full_unstemmed | Green Supply Chain Network Design with Economies of Scale and Environmental Concerns |
title_short | Green Supply Chain Network Design with Economies of Scale and Environmental Concerns |
title_sort | green supply chain network design with economies of scale and environmental concerns |
url | http://dx.doi.org/10.1155/2017/6350562 |
work_keys_str_mv | AT dezhizhang greensupplychainnetworkdesignwitheconomiesofscaleandenvironmentalconcerns AT fangzizou greensupplychainnetworkdesignwitheconomiesofscaleandenvironmentalconcerns AT shuangyanli greensupplychainnetworkdesignwitheconomiesofscaleandenvironmentalconcerns AT lingyunzhou greensupplychainnetworkdesignwitheconomiesofscaleandenvironmentalconcerns |