Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles

2021 ◽  
Vol 149 ◽  
pp. 102279
Author(s):  
Kannan Govindan ◽  
Hadi Gholizadeh
Keyword(s):  
Big Data ◽  
Network Design ◽  
End Of Life ◽  
Reverse Logistics ◽  
Logistics Network ◽  
Robust Network Design ◽  
Reverse Logistics Network ◽  
Robust Network

Reverse Logistics Network Design for the Collection of End-of-Life Vehicles

2012 ◽  
Author(s):  
Hang Dai ◽  
Qing Wang
Keyword(s):  
Network Design ◽  
End Of Life ◽  
Facility Location ◽  
Reverse Logistics ◽  
Location Problem ◽  
Strategic Decision ◽  
Mixed Integer ◽  
Logistics Network ◽  
Reverse Logistics Network ◽  
Reverse Logistic

Reverse logistic network design problems involve strategic decisions which influence tactical and operational decisions. In particular, they involve facility location, transportation and inventory decisions, which affect the cost of the distribution system and the quality of the customer service level. Locating a collection centre is an important strategic decision, as purchasing or building facilities requires sizable investment; also the network transportation cost is affected by the selection of facility locations. The location that is selected must therefore take into account all the parameters and variables that are relevant and the decision may even affect demand. In this paper, network design for reverse logistics is investigated to solve the End-of-life Vehicles (ELV) collection centres location problem. We start by giving an understanding of the process of this reverse logistics network design by considering the features of reverse logistics, the role of ELV management and use of optimization methods. Based on this, a reverse logistics network design case for collection of End-of-life Vehicles is presented by formulating the problem into a mixed-integer linear program (MILP), taking into consideration the Capacitated Facility Location Problem. The solution to this model is obtained using IBM CPLEX Optimization Studio©. In addition the applicability of the model in other reverse logistic networks is discussed and the subjects for further research are pointed out.

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.

scholarly journals Multi-period reverse logistics network design for used refrigerators

2018 ◽  
Vol 54 ◽  
pp. 311-331 ◽  
Author(s):  
Sajan T John ◽  
R Sridharan ◽  
P N Ram Kumar ◽  
M. Krishnamoorthy
Keyword(s):  
Network Design ◽  
Reverse Logistics ◽  
Logistics Network ◽  
Reverse Logistics Network
Sign in / Sign up

Export Citation Format

Share Document