2016
DOI: 10.1016/j.jclepro.2015.05.116
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Coordination of the closed-loop supply chain for product line design with consideration of remanufactured products

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Cited by 86 publications
(38 citation statements)
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“…They applied that model in Delhi, India and found that this modeling framework could address an organization's sustainable performance at the urban level through the resource use optimization, minimization of waste, cleaner technologies and pollution limits which were used in achieving cobenefits and a broad range of Eco-Industrial Development (EID) goals. Aydin et al (2015) investigated the coordination of a manufacturer and supply chain partners by using a game theoretical model for the design of product lines that contain new and remanufactured products. Their model was a multi-objective optimization system, based on Stackelberg game theory and can help determine the product line solutions, pricing decisions of supply chain partners, and product return rates for remanufacturing.…”
Section: Tools and Methodsmentioning
confidence: 99%
“…They applied that model in Delhi, India and found that this modeling framework could address an organization's sustainable performance at the urban level through the resource use optimization, minimization of waste, cleaner technologies and pollution limits which were used in achieving cobenefits and a broad range of Eco-Industrial Development (EID) goals. Aydin et al (2015) investigated the coordination of a manufacturer and supply chain partners by using a game theoretical model for the design of product lines that contain new and remanufactured products. Their model was a multi-objective optimization system, based on Stackelberg game theory and can help determine the product line solutions, pricing decisions of supply chain partners, and product return rates for remanufacturing.…”
Section: Tools and Methodsmentioning
confidence: 99%
“…Also this is usually related to operational characteristics and leads to Nash game; most of the dynamic games in SC literature are unconstrained models that solved by differential systems (Xiao and Yang 2008;Zhang 2006;Dias 2010, 2013;Sinha and Sarmah 2010;Friesz et al 2011, Jain et al 2014Chen et al 2015;Nagurney et al 2015;Mousavi et al 2016;Santibanez-Gonzalez and Diabat 2016;Hjaila et al 2016a;Jahangoshai Rezaee et al 2017;Lipan et al 2017). (3) Competition with foresight: in this competition, the rivals show reactions to the entry of new comer in sequential manner and usually this is related to strategic characteristics; this competition leads to bilevel or multi-level models and stackelberg games (Drezner and Drezner 1998;Plastria and Vanhaverbeke 2008;Kucukaydın et al 2011, Zhang and Liu 2013Yue and You 2014;Zhu 2015;Drezner et al 2015;Taleizadeh and Charmchi 2015;Yang et al 2015, Esmaeilzadeh andTaleizadeh 2016;Hjaila et al 2016b;Aydin et al 2016;Ezimadu and Nwozo 2017;Genc andGiovanni 2017. Eiselt andLaporte 1997;Krass and Pesch 2012 have done a review of this kind of competition.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In a CLSC network, end product is collected from customers to recovered by remanufacturing, recycling and reuse, as well as manage and coordinate the relationship among supply chain partners, such as manufacturers, suppliers, retailers, and/or remanufacturers (Aydin et al, 2015). Most studies on optimization of CLSC have focused on single objective and only few studies conducted by multiobjective approach.…”
Section: Closed-loop Sc (Clsc)mentioning
confidence: 99%
“…The purposes of model are to minimize overall costs and carbon dioxide. Aydin et al (2015) formulated multi-objective optimization model for CLSC problem to determine the product line solutions, pricing decisions of supply chain partners, and product return rate for remanufacturing. Bottani et al (2015) conducted optimization of the asset management process in a real closed-loop supply chain (CLSC), consisting of a pallet provider, a manufacturer and 7 retailers.…”
Section: Closed-loop Sc (Clsc)mentioning
confidence: 99%
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