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Nazira Kuderinova,Maksim Rebezov,Viacheslav Zhenzhebir,Maria Belousova,Elena Odinokova,Petr Burlankov,Vera Antonova,Konstantin Kushnir,Evgeny Rotanov 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.2
The selecting suppliers is one of the most important decisions in any supply chain, which, if properly selected, will reduce the costs of supply chain production. On the other hand, in a company"s logistics decisions, facility location has a great impact on supply chain design. Therefore, in this study, the facility location problem, supplier selection and order allocation in a multi-cycle and multi-product supply chain is studied in which economic goals and network reliability are considered as a two-objective optimization / decision-making problem. To evaluate the mathematical model, the model has been implemented in GAMS software by LP metric method with different P values. Because of solving the mathematical model, the selected location of the facility, the best suppliers to purchase products and the optimal allocation to each supplier are determined. The results show that the LP metric method has a good performance in finding optimal solutions to the problem and can be efficient in searching for optimal solutions.
Random Optimization of the Green Closed Chain Supply Chain of Perishable Products
Anuarbek Suychinov,Maksim Rebezov,Lyudmila Tretyak,Viacheslav Zhenzhebir,Nikolai Maksimiuk,Radion Pavlov,Alina Ostapenko,Yulia Zubtsova,Galiya Abdilova 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.2
The nature of the market has changed in many products so that manufacturers are increasingly forced to reconsider their supply chain strategies. In particular, perishable products can mentioned that require better and more accurate planning in terms of inventory and distribution in the supply chain. This paper presents a mathematical model for designing a supply chain network for perishable products. The supply chain includes a set of factories, warehouses, customers and collection centers. The objectives of this mathematical model are to reduce the total cost of the supply chain and reduce environmental pollution. In order to evaluate the performance of the mathematical model, three scenarios have been considered. In the first scenario, the reduction of product prices and in the second scenario, the stability of product prices and in the third scenario, the increase of product prices is considered. Then these scenarios are probably included in the mathematical model. The analysis performed in the study of the effect of each scenario shows that the increase in product prices has a more severe impact on environmental pollution. There is also always a conflict between costs and the environmental impact of the supply chain.