Green supply chain planning considering consumer's transportation process

被引:40
|
作者
Gao, Jingzhe [1 ]
Xiao, Zhongdong [1 ]
Cao, Binbin [1 ]
Chai, Qiangfei [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Management, 28 Xianning Rd, Xian 710049, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Carbon cap; Mixed-integer nonlinear programming; Supply chain network design; Green supply chain planning; INVENTORY ROUTING PROBLEM; CARBON EMISSION; MANAGEMENT; PERFORMANCE; MODEL; CONSTRAINTS; LOGISTICS; POLICIES;
D O I
10.1016/j.tre.2017.12.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article addresses a product delivery and store network layout strategy problem considering not only firms' but also consumers' cost. The study presents several mathematical programming models to minimize the cost or maximize the profit. Then, we design a two-step solution method for exact solutions and present an implementation. The results show that a carbon cap will do more good than harm for the environment. Trying to minimize the cost from both sides will not only improve the efficiency of social resource use but also enable stores to attract more consumers. Limiting emissions for firms will result in significant emissions reduction without an excessive cost increase.
引用
收藏
页码:311 / 330
页数:20
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