Joint Design Model of Multi-period Reverse Logistics Network with the Consideration of Carbon Emissions for E-Commerce Enterprises

2015 ◽  
Author(s):  
Xinxin Liu ◽  
Jianquan Guo ◽  
Chengji Liang
Keyword(s):  
Carbon Emissions ◽  
Reverse Logistics ◽  
Design Model ◽  
Logistics Network ◽  
Joint Design ◽  
Reverse Logistics Network

A carbon footprint based reverse logistics network design model

2012 ◽  
Vol 67 ◽  
pp. 75-79 ◽  
Author(s):  
Devika Kannan ◽  
Ali Diabat ◽  
Mahmoud Alrefaei ◽  
Kannan Govindan ◽  
Geng Yong
Keyword(s):  
Network Design ◽  
Carbon Footprint ◽  
Reverse Logistics ◽  
Design Model ◽  
Logistics Network ◽  
Reverse Logistics Network

Reverse logistics network design model based on e‐commerce

2012 ◽  
Vol 20 (2) ◽  
pp. 251-261 ◽  
Author(s):  
Qian XiaoYan ◽  
Han Yong ◽  
Da Qinli ◽  
Peter Stokes
Keyword(s):  
Network Design ◽  
Reverse Logistics ◽  
Design Model ◽  
Logistics Network ◽  
Model Based ◽  
Reverse Logistics Network

scholarly journals A Novel Reverse Logistics Network Design Considering Multi-Level Investments for Facility Reconstruction with Environmental Considerations

2019 ◽  
Vol 11 (9) ◽  
pp. 2710 ◽  
Author(s):  
Xuehong Gao
Keyword(s):  
Network Design ◽  
Carbon Emissions ◽  
Reverse Logistics ◽  
Network Design Problem ◽  
Logistics Network ◽  
Logistics Networks ◽  
Environmental Objectives ◽  
Reverse Logistics Network ◽  
Forward Logistics ◽  
Multi Level

Reverse logistics is convincingly one of the most efficient solutions to reduce environmental pollution and waste of resources by capturing and recovering the values of the used products. Many studies have been developed for decision-making at tactical, practical, and operational levels of the reverse supply chain. However, many enterprises face a challenge that is how to design the reverse logistics networks into their existing forward logistics networks to account for both economic and environmental sustainability. In this case, it is necessary to design a novel reverse logistics network by reconstructing the facilities based on the existing forward logistics network. Multi-level investments are considered for facility reconstruction because more investment and more advanced remanufacturing technologies need to be applied to reduce the carbon emissions and improve facility capacities. Besides, uncertain elements include the demand for new products and return quantity of used products, making this problem challenging. To handle those uncertain elements, a bi-objective stochastic integer nonlinear programming model is proposed to facilitate this novel reverse logistics network design problem with economic and environmental objectives, where tactical decisions of facility locations, investment level choices, item flows, and vehicle assignments are involved. To show the applicability and computational efficiency of the proposed model, several numerical experiments with sensitivity analysis are provided. Finally, the trade-off between the profit and carbon emissions is presented and the sensitive analysis of changing several key input parameters is also discussed.

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