Design and Analysis of Closed-Loop Supply Chain Networks

2021 ◽  
Author(s):  
Subramanian Pazhani
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks

An optimization model for traceable closed-loop supply chain networks

2019 ◽  
Vol 71 ◽  
pp. 673-699 ◽  
Author(s):  
Vahid Hajipour ◽  
Madjid Tavana ◽  
Debora Di Caprio ◽  
Majid Akhgar ◽  
Yasaman Jabbari
Keyword(s):  
Supply Chain ◽  
Optimization Model ◽  
Closed Loop ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks

Optimal design of closed-loop supply chain networks with multifunctional nodes

2015 ◽  
Vol 80 ◽  
pp. 73-91 ◽  
Author(s):  
Magdalini A. Kalaitzidou ◽  
Pantelis Longinidis ◽  
Michael C. Georgiadis
Keyword(s):  
Supply Chain ◽  
Optimal Design ◽  
Closed Loop ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks

Design of Closed Loop Supply Chain Networks

2014 ◽  
Vol 1 (1) ◽  
pp. 43-66 ◽  
Author(s):  
Subramanian Pazhani ◽  
A. Ravi Ravindran
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Closed Loop ◽  
The United States ◽  
Raw Material ◽  
Mixed Integer ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks ◽  
Optimal Network Design ◽  
Optimal Network

Given the importance of operating and managing forward and reverse supply chains in an integrated manner, this article considers an integrated four-stage supply chain network with forward and reverse product flows. We consider a closed loop supply chain (CLSC) network with primarily commercial returns, which could be potentially recovered by light repair operations or by refurbishing. The annual estimate of commercial returns in the United States is in excess of $100 billion. This paper discusses the optimal design of a CLSC network.A mixed integer linear programming (MILP) model is developed to determine the optimal locations of the facilities and the distribution of flows between facilities in the CLSC to maximize the total profit. The model is illustrated using a realistic example applicable to the electronics industries. Even though recycling and refurbishing add cost, the overall supply chain profit increases due to a reduction in the raw material cost. Sensitivity analysis is carried out to determine the effect of return percentage and varying demands of customers who are willing to buy refurbished products. The analysis show that the total supply chain profit increases with the increase in refurbishing activity. Finally, changes in the network design with respect to the uncertainty in these return parameters are also studied. The results show that the changes in return parameters lead to changes in optimal network design implying the need to explicitly consider the uncertainty in these return parameters.

scholarly journals Closed-Loop Supply Chain Network Design under Uncertainties Using Fuzzy Decision Making

Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 15
Author(s):  
Zhengyang Hu ◽  
Viren Parwani ◽  
Guiping Hu
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Sensitivity Analyses ◽  
Mixed Integer ◽  
Fuzzy Decision Making ◽  
Manufacturing Cost ◽  
Uncertain Parameters ◽  
Objective Functions ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks

The importance of considering forward and backward flows simultaneously in supply chain networks spurs an interest to develop closed-loop supply chain networks (CLSCN). Due to the expanded scope in the supply chain, designing CLSCN often faces significant uncertainties. This paper proposes a fuzzy multi-objective mixed-integer linear programming model to deal with uncertain parameters in CLSCN. The two objective functions are minimization of overall system costs and minimization of negative environmental impact. Negative environmental impacts are measured and quantified through CO2 equivalent emission. Uncertainties include demand, return, scrap rate, manufacturing cost and negative environmental factors. The original formulation with uncertain parameters is firstly converted into a crisp model and then an aggregation function is applied to combine the objective functions. Numerical experiments have been carried out to demonstrate the effectiveness of the proposed model formulation and solution approach. Sensitivity analyses on degree of feasibility, the weighing of objective functions and coefficient of compensation have been conducted. This model can be applied to a variety of real-world situations, such as in the manufacturing production processes.

scholarly journals A Trade-off Analysis of Economic and Environmental Aspects of a Disruption Based Closed-Loop Supply Chain Network

2020 ◽  
Vol 12 (17) ◽  
pp. 7056
Author(s):  
Abdul Salam Khan ◽  
Catalin Iulian Pruncu ◽  
Razaullah Khan ◽  
Khawar Naeem ◽  
Abdul Ghaffar ◽  
...  
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Future Research ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Trade Off ◽  
Carbon Footprints ◽  
Supply Chain Networks ◽  
Tire Industry ◽  
Improved Performance

Closed-loop supply chain networks are gaining research popularity due to environmental, economic and social concerns. Such networks are primarily designed to overcome carbon footprints and to retrieve end of life products from customers. This study considers a multi echelon closed-loop supply chain in the presence of machine disruption. A multi-objective model is presented to optimize the total cost, the total time and emissions in a closed-loop supply chain network. The aim is to analyze the trade-off between the objectives of cost, time, and emissions and how these decisions are impacted by the selection of different available machines. A number of solution approaches are tested on a case study from the tire industry. The results suggest the improved performance of the hybrid heuristic and the importance of controlling disruption in a closed-loop supply chain network. Furthermore, there is a trade-off between the different objective functions which can help the decision maker to choose a particular solution according to the preference of an organization. Finally, conclusion and future research avenues are provided.

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