Supply chain management
Maryam Rahmaty
Abstract
In this paper, the modeling of a closed-loop supply chain problem is discussed concerning economic and environmental aspects. The considered supply chain simultaneously makes strategic and tactical decisions, such as locating potential facilities, optimal allocation of product flow, and determining the ...
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In this paper, the modeling of a closed-loop supply chain problem is discussed concerning economic and environmental aspects. The considered supply chain simultaneously makes strategic and tactical decisions, such as locating potential facilities, optimal allocation of product flow, and determining the optimal level of discount. Since the presented model is an NP-Hard model, MOPSO and SPEA II algorithms have been used to solve the problem. For this purpose, a priority-based encoding is presented, and the Pareto front resulting from solving different problems is compared. The results show that the MOPSO algorithm has obtained the most significant number of Pareto solutions in the large size. In contrast, the SPEA algorithm has included more Pareto solutions in the small and medium sizes. This is despite the fact that in different sizes, the MOPSO algorithm has the lowest calculation time among all algorithms. Also, according to the results obtained from the TOPSIS method, it was observed that the MOPSO algorithm in small and medium sizes and the SPEA2 algorithm in larger sizes have better performance than other proposed algorithms.
S. Ghayebloo; M.J. Tarokh; M. Abedzadeh
Volume 2, Issue 4 , December 2013, , Pages 58-71
Abstract
This paper aims to study the impact of product greenness and part reliability on reverse supply chain network through green supplier selection and disassembly of products. It proposes a bi-objective mathematical modeling for a closed-loop supply chain network considering green supplier selection and ...
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This paper aims to study the impact of product greenness and part reliability on reverse supply chain network through green supplier selection and disassembly of products. It proposes a bi-objective mathematical modeling for a closed-loop supply chain network considering green supplier selection and disassembly of products to trade-off profit and greenness. To our knowledge, this study is the first paper which considers the greenness of products in part/components level. So, some important issues such as part reliability, part greenness and inventory management of new and recovered parts are included into the model. Part reliability and part greenness are considered as green criteria in green supplier selection stage. Product greenness is defined according to design for disassembly level. Better design for disassembly means more greenness level for the products and better yield of parts at the disassembly stage. Green parts are made of highly recyclable materials. According to the part greenness and part reliability, some scenarios are defined. The greenness level of product is chosen by the model. ε-constraint method is applied to solve the model. A set of Pareto-optimal solution is obtained by using ε-constraint method to show the trade-off between the profit and greenness objectives. The results showed the efficiency of the model.
