Key Issues and Challenges of a Sustainable Closed Loop Supply Chain

2014 ◽  
Vol 564 ◽  
pp. 684-688 ◽  
Author(s):  
G. Tahoori ◽  
Mohd Yusuff Rosnah ◽  
Zulkifli Norzima
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Closed Loop ◽  
Sustainable Supply Chain ◽  
Closed Loop Supply Chain ◽  
Environmental Threats ◽  
Gradual Evolution ◽  
Key Issues ◽  
Different Dimensions ◽  
Reverse Chain

Being tied with sustainability and due to the emergence of various environmental threats, closed loop supply chain (CLSC) has received huge attention recently. Dealing with both forward and reverse chain simultaneously, closed loop supply chain plays the key role as an enabler for sustainability. In this paper the gradual evolution of supply chain, the concept of sustainability, sustainable supply chain, incentives and different dimensions of sustainability and closed loop supply chain, issue and challenges such as recovery options, product acquisition, uncertainty, supplier selection, etchave been discussed.

scholarly journals A new model for more effective supplier selection and remanufacturing process in a closed-loop supply chain

2016 ◽  
Vol 40 (23-24) ◽  
pp. 9914-9931 ◽  
Author(s):  
Ali Shakourloo ◽  
Abolfazle Kazemi ◽  
Mahsa Oroojeni Mohammad Javad
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Closed Loop ◽  
Closed Loop Supply Chain ◽  
New Model

scholarly journals The effects of different kinds of returns on an integrated chance-constrained stochastic mobile phone closed-loop supply chain configuration and supplier selection

2021 ◽  
Author(s):  
Shahrzad Ahmadi Kermanshah
Keyword(s):  
Supply Chain ◽  
Mobile Phone ◽  
Supplier Selection ◽  
Closed Loop ◽  
Stochastic Demand ◽  
Mixed Integer ◽  
Chance Constraint ◽  
Distance Method ◽  
Closed Loop Supply Chain ◽  
Multi Objective

One of the important concerns in the world is E-waste. Ending up e-waste in the landfill and inappropriate disposing of it are hazardous to the environment. The goal of this research is to design and optimize a multi-period, multi-product, multi-echelon, and multi-customer Closed-Loop Supply Chain (CLSC) network for a mobile phone network considering different types of product returns. Commercial, end of life, and end-of-use returns are well-known in practice. In this research, a multi-objective mixed-integer linear programming formulation with stochastic demand and return is proposed to maximize the total profit in the mobile phone CLSC network, alongside maximizing the weights of eligible suppliers which are estimated based on a fuzzy method for efficient supplier selection and order allocation. Chance-constraint programming is applied in order to deal with the stochastic demand and return. Moreover, distance method and εε-constraint technique are employed to solve the proposed multi-objective problem. The application of the proposed mathematical model is illustrated in Toronto, Canada using real maps.

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