The Study on Construction for Reverse Logistics Network of Waste Household Appliances

Author(s):  
Zhuo Dai ◽  
Hongmei Dai
2014 ◽  
Vol 926-930 ◽  
pp. 3926-3929
Author(s):  
Xiao Yong Pan ◽  
Yong Liang Liu ◽  
Jiang Wu ◽  
Quan Wei Zhang ◽  
Dong Lai

In the case of four kinds discarded appliances of TV set, refrigerators, air conditioners and washing machines, build a reverse logistics network model of waste household appliances recycling by planning to establish three nodes of collection points, recycling centers and dismantling treatment plants. The reverse model with the minimum total cost as the objective, including recycling costs, transportation costs, the node infrastructure investment costs, operating costs, government subsidies and renewable resource recycling revenue. Finally, the operation analysis of an example shows that the model is effective and reasonable. The model provides an important theoretical reference to solve the reverse logistics network planning, the optimal siting of new node and distribution optimization problem.


2021 ◽  
pp. 1-17
Author(s):  
Pezhman Abbasi Tavallali ◽  
Mohammad Reza Feylizadeh ◽  
Atefeh Amindoust

Cross-dock is defined as the practice of unloading goods from incoming vehicles and loading them directly into outbound vehicles. Cross-docking can simplify supply chains and help them to deliver goods to the market more swiftly and efficiently by removing or minimizing warehousing costs, space requirements, and use of inventory. Regarding the lifetime of perishable goods, their routing and scheduling in the cross-dock and transportation are of great importance. This study aims to analyze the scheduling and routing of cross-dock and transportation by System Dynamics (SD) modeling to design a reverse logistics network for the perishable goods. For this purpose, the relations between the selected variables are first specified, followed by assessing and examining the proposed model. Finally, four scenarios are developed to determine the optimal values of decision variables. The results indicate the most influencing factors on reaching the optimal status is the minimum distance between the cross-dock and destination, rather than increasing the number of manufactories.


2018 ◽  
Vol 54 ◽  
pp. 311-331 ◽  
Author(s):  
Sajan T John ◽  
R Sridharan ◽  
P N Ram Kumar ◽  
M. Krishnamoorthy

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