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Closed loop supply chain network design using fuzzy mathematical programming.
The proposed supply chain network design is described in "The proposed closed loop supply chain network design".
Moreover fuzzy programming procedure has been developed to optimize of the proposed closed loop supply chain network design model.
Open image in new window Fig. 1 The structure of the proposed closed loop supply chain network.
External suppliers are one of the important members of reverse logistics and closed loop supply chain (CLSC) networks.
Subulan et al. (2014) developed a multi-objective and multi-product closed loop supply chain model for a real case study, i.e., the lead/acid battery.
If both of the forward and reverse flows are integrated simultaneously, the mode is known as "closed loop supply chain network".
We undertake a systematic literature review of 144 articles in relevant green, reverse and closed loop supply chain literature to synchronize existing knowledge on value creation.
In the mentioned research, the solution approach is similar to (Selim and Ozkarahan 2008)'s research and the proposed closed loop supply chain network is optimized by that approach.
Considering transportation mode selection: recently (Govindan et al. 2015) reviewed 328 papers about reverse logistics and closed loop supply chain and said that these decisions are distinguished as a remarkable gap and future opportunity.
In this paper we address the problem of uncertainty in the design and planning of a multi-period, multi-product closed loop supply chain, where the recovered products are end-of-life products that are disassembled and recycled.
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