Two-way product recovery in a closed-loop supply chain with variable markup under price and quality dependent demand

2017 ◽  
Vol 183 ◽  
pp. 259-272 ◽  
Author(s):  
T. Maiti ◽  
B.C. Giri
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Product Recovery ◽  
Closed Loop Supply Chain ◽  
Dependent Demand

scholarly journals A multi-objective optimization of closed-loop supply chain problem with vehicle routing

2021 ◽  
Vol 6 (2) ◽  
pp. 121-130
Author(s):  
Shahul Hamid Khan ◽  
Vivek Kumar Chouhan ◽  
Santhosh Srinivasan
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Consumer Products ◽  
Product Recovery ◽  
Business Strategies ◽  
Mixed Integer ◽  
Programming Approach ◽  
Closed Loop Supply Chain ◽  
Competitive Edge ◽  
Chain Problem

Product recovery has become significant business strategies to increase a competitive edge in business and also in the society. Parts from discarded products due to rapid advancement and post-consumer products before & after end-of-life (EOL) are recovered to reduce landfill waste and to have become a part of circular economy. Product recovery is made possible with the help of Closed-loop supply chain (CLSC). This paper concentrates on multi-period, multi-product, and multi-echelon Closed Loop Green Supply Chain (CLGSC) network. A bi-objective (cost and emission) Mixed Integer Linear Programming (MILP) model has been formulated for the network and has been optimized using Goal Programming approach and Genetic Algorithm. Results are discussed for providing some managerial insights of the model.

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