Reverse Logistics Network-Based Multiperiod Optimization for Construction and Demolition Waste Disposal

2019 ◽  
Vol 145 (2) ◽  
pp. 04018124 ◽  
Author(s):  
Jiuping Xu ◽  
Yi Shi ◽  
Siwei Zhao
Keyword(s):  
Waste Disposal ◽  
Reverse Logistics ◽  
Construction And Demolition Waste ◽  
Demolition Waste ◽  
Logistics Network ◽  
Reverse Logistics Network ◽  
Multiperiod Optimization

scholarly journals Multiobjective Location Model Design Based on Government Subsidy in the Recycling of CDW

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Peihua Fu ◽  
Hongxuan Li ◽  
Xiaohua Wang ◽  
Juanjuan Luo ◽  
Sha-lei Zhan ◽  
...  
Keyword(s):  
Reverse Logistics ◽  
Pareto Frontier ◽  
Construction And Demolition Waste ◽  
Recycling Rate ◽  
Government Subsidy ◽  
Integer Programming Problem ◽  
Demolition Waste ◽  
Logistics Network ◽  
The Government ◽  
Role Of The Government

With the generation of a large amount of construction and demolition waste (CDW), many scholars have recently paid more attention to the recycling of CDW. In this paper, we design a classification recycling method based on the degree of CDW availability in the recycling of CDW. Considering the important role of the government in reverse logistics, a model of reverse logistics network based on the trade-off between cost and recycling rate is put forward, which is subject to government subsidy. The model includes the location of classification processing center and ensures the best route of transportation. Then, the improved particle swarm optimization algorithm is applied to solve the model to get Pareto frontier by transforming it into a multiobjective integer-programming problem. As a case study, the results of the statistical modeling used in this study indicate the feasibility of the model. Finally, according to the sensitivity analysis of government’s subsidy, we evaluate the effectiveness of this program and its applicability.

Reverse Logistics Network Design for End of Life Computer in Malaysia

2014 ◽  
Vol 1006-1007 ◽  
pp. 517-520
Author(s):  
Siaw Hua Chong ◽  
Ong Pauline ◽  
Hasan Sulaiman
Keyword(s):  
Mathematical Model ◽  
Network Design ◽  
Waste Disposal ◽  
Reverse Logistics ◽  
Recovery Process ◽  
Logistics Network ◽  
Reverse Logistics Network ◽  
The World ◽  
The Cost

Thousand Millions of e-waste generated annually over the world. In 2012 289.32 metrics kilotones of e-waste generated in Malaysia. A good reverse logistics network design is needed to support the product recovery process in order to reduce waste disposal and landfill. This paper propose a mathematical model to examine if the reverse logistics of each state on Malaysia can be sustain with the profit made from resell of refurbished computers and components to cover the cost of overall system. In the case study we examine the model in each state of Malaysia with the information of Malaysia Census 2010 to determine if any such facility can be establish. The research will recommend reverse logistics approach appropriate to Malaysia.

A system dynamics model for routing and scheduling of cross-dock and transportation in reverse logistics network of perishable goods

2021 ◽  
pp. 1-17
Author(s):  
Pezhman Abbasi Tavallali ◽  
Mohammad Reza Feylizadeh ◽  
Atefeh Amindoust
Keyword(s):  
System Dynamics ◽  
Reverse Logistics ◽  
Logistics Network ◽  
Routing And Scheduling ◽  
Perishable Goods ◽  
Decision Variables ◽  
Proposed Model ◽  
Reverse Logistics Network ◽  
The Cross ◽  
Space Requirements

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.

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