Designing a Hazardous Waste Reverse Logistics Network for Third Party Logistics Supplier under the Fuzzy Environment

2007 ◽  
Author(s):  
Zhang Yong ◽  
Li Xuhong ◽  
Mao Haijun ◽  
Ma Chenglin
Keyword(s):  
Hazardous Waste ◽  
Reverse Logistics ◽  
Third Party ◽  
Third Party Logistics ◽  
Logistics Network ◽  
Fuzzy Environment ◽  
Reverse Logistics Network

Research on Optimizing Reverse Logistics Network of Waste Copper Recycling

2013 ◽  
Vol 798-799 ◽  
pp. 967-970
Author(s):  
Qi Hao ◽  
Xin Sheng Xu ◽  
Qing Liu ◽  
Xi Ze Liu
Keyword(s):  
Reverse Logistics ◽  
Network Models ◽  
Mathematic Model ◽  
Third Party ◽  
Third Party Logistics ◽  
Logistics Network ◽  
Logistics Networks ◽  
Reverse Logistics Network ◽  
Scrap Recycling

Based on third-party logistics, we propose a linear programming mathematic model for reverse logistics networks of waste copper recycling. And, a reverse logistics network models is established to deal with returned products, which will decrease costs and allow optimal decisions on distributing methods so as to increase efficiency and profit levels. A case study is also developed to illustrating the value of this model and network. Whats more, according to the model, we put forward to sincere suggestions and better measures of copper scrap recycling.

scholarly journals Design of a Third - party Reverse Logistics Network under a Carbon Tax Scheme

2016 ◽  
Vol 9 (5) ◽  
pp. 126-134 ◽  
Author(s):  
Cheng - Hu Yang ◽  
◽  
Du - Tian Chen ◽  
Zhui - Liang Huang ◽  
Hai - Bo Liu ◽  
...  
Keyword(s):  
Reverse Logistics ◽  
Carbon Tax ◽  
Third Party ◽  
Logistics Network ◽  
Reverse Logistics Network

Optimal Study of the Reverse Logistics Network for Electronic Waste under Fuzzy Environment

2014 ◽  
Vol 986-987 ◽  
pp. 2167-2170
Author(s):  
Li Gang Sun ◽  
Zheng Zhang
Keyword(s):  
Reverse Logistics ◽  
Optimization Model ◽  
Electronic Waste ◽  
Fuzzy Optimization ◽  
Capacity Constraints ◽  
Waste Recovery ◽  
Logistics Network ◽  
Numerical Example ◽  
Fuzzy Environment ◽  
Reverse Logistics Network

Considering the uncertainty of electronic waste recovery quantity in consumption areas, a fuzzy optimization model for electronic waste reverse logistics network with capacity constraints was constructed to determine the number and location of the facilities, the flows between each facility. A numerical example was provided to demonstrate the feasibility of the model.

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