Supply chain management
Javid Ghahremani-Nahr; Hamed Nozari; Seyyed Esmaeil Najafi
Abstract
The mathematical model of a multi-product multi-period multi-echelon closed-loop supply chain network design under uncertainty is designed in this paper. The designed network consists of raw material suppliers, plants, warehouses, distribution centers, and customer zones in forward chain and collection ...
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The mathematical model of a multi-product multi-period multi-echelon closed-loop supply chain network design under uncertainty is designed in this paper. The designed network consists of raw material suppliers, plants, warehouses, distribution centers, and customer zones in forward chain and collection centers, repair centers, recovery/decomposition center, and disposal center in the reverse chain. The goal of the model is to determine the quantities of products and raw material transported between the supply chain entities in each period by considering different transportation mode, the number and locations of the potential facilities, the shortage of products in each period, and the inventory of products in warehouses and plants with considering discount and uncertainty parameters. The robust possibilistic optimization approach was used to control the uncertainty parameter. At the end to solve the proposed model, five meta-heuristic algorithms include genetic algorithm, bee colony algorithm, simulated annealing, imperial competitive algorithm, and particle swarm optimization are utilized. Finally, some numerical illustrations are provided to compare the proposed algorithms. The results show the genetic algorithm is an efficient algorithm for solving the designed model in this paper.
Seyyed Esmaeil Najafi; Mohsen Amiri; Vahid Abdolah Zadeh
Volume 2, Issue 3 , September 2015, , Pages 139-153
Abstract
National and regional growth and development models in the developing countries whose development attributes are far different from those of the developed countries, must be in such a way to allow the corresponding country or region to develop at the minimum cost within the shortest possible period of ...
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National and regional growth and development models in the developing countries whose development attributes are far different from those of the developed countries, must be in such a way to allow the corresponding country or region to develop at the minimum cost within the shortest possible period of time. One of the successful approaches toward national and regional development models is to rely on a development model which is based on extending and developing science and technology corridors. This study is aimed at ranking practicable technologies within the science and technology corridor of Isfahan using multiple attribute decision-making process. Since the technology and science corridor are new issues in IRAN and there had been no researches on identification and selection of applicable technologies, the work on this issue was very innovative, also application of 3 methods of decision making for upgrading of reliability is the outstanding criteria of this research. For this purpose, 13 attributes were utilized (categorized into 6 groups) and AHP, TOPSIS and SAW techniques were employed to rank technologies, so that the following order of preference was suggested for the practicable technologies within the science and technology corridor of Isfahan:1) Information and communication technology, 2) material technologies, 3) bio-technology, 4) energy technology, 5) Nano-technology, 6) environmental technology, 7) laser and optic technology, 8) nuclear technology.
Navid Torabi; Seyyed Esmaeil Najafi
Volume 2, Issue 2 , June 2015, , Pages 111-119
Abstract
In this research, a new model for ranking is presented based on sum weights disparity index in data envelopment analysis in fuzzy condition. Using disparity index, the input and output of data envelopment analysis is considered according to similarity in one category and, units with the efficiency one ...
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In this research, a new model for ranking is presented based on sum weights disparity index in data envelopment analysis in fuzzy condition. Using disparity index, the input and output of data envelopment analysis is considered according to similarity in one category and, units with the efficiency one can be ranked with this method. The new approach of this research is the evaluation of this model in uncertainty conditions and in fuzzy state. In fuzzy conditions, a new model can be provided and used when there are no definitive data and the application of this model can get closer to the actual situation. In this study, to prove the adequacy of the model, the numerical example is assessed and the results of the proposed model is compared with the results of the fuzzy BCC model; the obtained results are indicative of the superiority of the proposed model.
