TY - JOUR
T1 - Stochastic reverse logistics network design for waste of electrical and electronic equipment
AU - Ayvaz, Berk
AU - Bolat, Bersam
AU - Aydin, Nezir
N1 - Publisher Copyright:
© 2015 Published by Elsevier B.V.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - In recent years, Reverse Logistics has received increasing attentions in supply chain management area. The reasons such as political, economic, green image and social responsibility etc. force firms to develop strategies to their current systems. The aim of this study is to propose a generic Reverse Logistics Network Design model under return quantity, sorting ratio (quality), and transportation cost uncertainties. We present a generic multi-echelon, multi-product and capacity constrained two stage stochastic programing model to take into consideration uncertainties in Reverse Logistics Network Design for a third party waste of electrical and electronic equipment recycling companies to maximize profit. We validated developed model by applying to a real world case study for waste of electrical and electronic equipment recycling firm in Turkey. Sample average approximation method was used to solve the model. Results show that the developed two stage stochastic programming model provides acceptable solutions to make efficient decisions under quantity, quality and transportation cost uncertainties.
AB - In recent years, Reverse Logistics has received increasing attentions in supply chain management area. The reasons such as political, economic, green image and social responsibility etc. force firms to develop strategies to their current systems. The aim of this study is to propose a generic Reverse Logistics Network Design model under return quantity, sorting ratio (quality), and transportation cost uncertainties. We present a generic multi-echelon, multi-product and capacity constrained two stage stochastic programing model to take into consideration uncertainties in Reverse Logistics Network Design for a third party waste of electrical and electronic equipment recycling companies to maximize profit. We validated developed model by applying to a real world case study for waste of electrical and electronic equipment recycling firm in Turkey. Sample average approximation method was used to solve the model. Results show that the developed two stage stochastic programming model provides acceptable solutions to make efficient decisions under quantity, quality and transportation cost uncertainties.
KW - Reverse Logistics Network Design
KW - Sample average approximation
KW - Stochastic programming
KW - Uncertainty
KW - Waste of electrical and electronic equipment (WEEE)
UR - http://www.scopus.com/inward/record.url?scp=84949626325&partnerID=8YFLogxK
U2 - 10.1016/j.resconrec.2015.07.006
DO - 10.1016/j.resconrec.2015.07.006
M3 - Article
AN - SCOPUS:84949626325
SN - 0921-3449
VL - 104
SP - 391
EP - 404
JO - Resources, Conservation and Recycling
JF - Resources, Conservation and Recycling
ER -