TY - JOUR
T1 - Fuzzy multi-objective sustainable and green closed-loop supply chain network design
AU - Soleimani, Hamed
AU - Govindan, Kannan
AU - Saghafi, Hamid
AU - Jafari, Hamid
PY - 2017
Y1 - 2017
N2 - This article addresses a design problem of a closed loop supply chain, including suppliers, manufacturers, distribution centers, customers, warehouse centers, return centers, and recycling centers. The problem entails three choices regarding recycling, namely, product recycling, and components recycling raw material recycling. Modeling this chain is carried out by accounting for environmental considerations, total profit optimization, and reduction of lost working days due to occupational accidents, we well as maximizing responsiveness to customer demand. In order to solve the model, genetic algorithm has been used and multiple scenarios with different aspects have been studied. Solving this model provides decisions regarding opening or closing of each of the components of the network and the optimal product flow among them. The results prove the feasibility of the presented model and the applicability of the developed solution methodology.
AB - This article addresses a design problem of a closed loop supply chain, including suppliers, manufacturers, distribution centers, customers, warehouse centers, return centers, and recycling centers. The problem entails three choices regarding recycling, namely, product recycling, and components recycling raw material recycling. Modeling this chain is carried out by accounting for environmental considerations, total profit optimization, and reduction of lost working days due to occupational accidents, we well as maximizing responsiveness to customer demand. In order to solve the model, genetic algorithm has been used and multiple scenarios with different aspects have been studied. Solving this model provides decisions regarding opening or closing of each of the components of the network and the optimal product flow among them. The results prove the feasibility of the presented model and the applicability of the developed solution methodology.
KW - Closed-loop supply chain
KW - Fuzzy logic
KW - Genetic algorithm
KW - Multi-objective optimization
KW - Sustainable supply chain
U2 - 10.1016/j.cie.2017.04.038
DO - 10.1016/j.cie.2017.04.038
M3 - Journal article
AN - SCOPUS:85019143632
SN - 0360-8352
VL - 109
SP - 191
EP - 203
JO - Computers & Industrial Engineering
JF - Computers & Industrial Engineering
ER -