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논문 기본 정보

자료유형
학술저널
저자정보
Nazira Kuderinova (Shakarim University of Semey) Maksim Rebezov (K.G. Razumovsky Moscow State University of technologies and management) Viacheslav Zhenzhebir (Plekhanov Russian University of Economics) Maria Belousova (K.G. Razumovsky Moscow State University of technologies and management) Elena Odinokova (K.G. Razumovsky Moscow State University of technologies and management) Petr Burlankov (K.G. Razumovsky Moscow State University of technologies and management) Vera Antonova (K.G. Razumovsky Moscow State University of technologies and management) Konstantin Kushnir (K.G. Razumovsky Moscow State University of technologies and management) Evgeny Rotanov (K.G. Razumovsky Moscow State University of technologies and management)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.20 No.2
발행연도
2021.6
수록면
248 - 257 (10page)
DOI
10.7232/iems.2021.20.2.248

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초록· 키워드

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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.

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ABSTRACT
1. INTRODUCTION
2. PROBLEM STATEMENT AND MATHEMATICAL MODEL
3. SOLUTION METHOD
4. RESULTS
5. CONCLUSION
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