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Journal Articles Expert Systems with Applications Year : 2019

The Bi-objective Periodic Closed Loop Network Design Problem


Reverse supply chains are becoming a crucial part of retail supply chains given the recent reforms in the consumers’ rights and the regulations by governments. This has motivated companies around the world to adopt zero-landfill goals and move towards circular economy to retain the product’s value during its whole life cycle. However, designing an efficient closed loop supply chain is a challenging undertaking as it presents a set of unique challenges, mainly owing to the need to handle pickups and deliveries at the same time and the necessity to meet the customer requirements within a certain time limit. In this paper, we model this problem as a bi-objective periodic location routing problem with simultaneous pickup and delivery as well as time windows and examine the performance of two procedures, namely NSGA-II and NRGA, to solve it. The goal is to find the best locations for a set of depots, allocation of customers to these depots, allocation of customers to service days and the optimal routes to be taken by a set of homogeneous vehicles to minimise the total cost and to minimise the overall violation from the customers’ defined time limits. Our results show that while there is not a significant difference between the two algorithms in terms of diversity and number of solutions generated, NSGA-II outperforms NRGA when it comes to spacing and runtime.

Dates and versions

hal-02366380 , version 1 (15-11-2019)



Elham Jelodari Mamaghani, Soheil Davari. The Bi-objective Periodic Closed Loop Network Design Problem. Expert Systems with Applications, 2019, pp.113068. ⟨10.1016/j.eswa.2019.113068⟩. ⟨hal-02366380⟩


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