A NEUTROSOPHICAL MODEL FOR OPTIMAL SUSTAINABLE CLOSED-LOOP SUPPLY CHAIN NETWORK WITH CONSIDERING INFLATION AND CARBON EMISSION POLICIES

被引：0
作者：
Kalantari S. [1 ]
Kazemipoor H. [1 ]
Sobhani F.M. [2 ]
Hadji Molana S.M. [2 ]
机构：
[1] Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University
[2] Department of Industrial Engineering, Science and Research Branch, Islamic Azad University
来源：
Decision Making: Applications in Management and Engineering | 2022年 / 5卷 / 02期
关键词：
Closed-loop supply chain network (CLSCN); Net present value (NPV); Neutrosophic logic; Neutrosophic optimization; supply chain management (SCM); Sustainability;
D O I：
10.31181/dmame03051020224k
中图分类号：
学科分类号：
摘要：
In this paper, a stable CLSC problem is modeled in conditions of uncertainty and indeterminacy. The SCN is designed to maximize NPV and minimize carbon releases by maintaining environment friendly policies and accounting for increase. To achieve a suitable model for designing a stable CLSCN and making important decisions such as selecting the right suppliers, selecting the type of transport, initial the facility, the optimal flow between facilities and accomplishing an efficient solution to the problem decision making, the neutrosophic optimization method is used. The results of experiments that discuss and evaluate different scenarios confirm the efficiency and validity of the proposed model. The findings also show that the effective improvement of the obtained solutions by reducing the solution time up to twenty percent can be responsible for large-scale problems in different scenarios. This paper uses a neutrosophic optimization method to solve the problem of designing a stable CLSCN under uncertainty and indeterminacy. © 2022 by the authors.
引用
收藏
页码：46 / 77
页数：31
相关论文
共 80 条
  • [11] De M., Giri B. C., Modelling a closed-loop supply chain with a heterogeneous fleet under carbon emission reduction policy, Transportation research part e: logistics and transportation review, 133, (2020)
  • [12] Deli I., Ulucay V., Polat Y., N-valued neutrosophic trapezoidal numbers with similarity measures and application to multi-criteria decision-making problems, Journal of Ambient Intelligence and Humanized Computing, 13, 9, pp. 4493-4518, (2022)
  • [13] Deveci M., Simic V., Torkayesh A. E., Remanufacturing facility location for automotive Lithium-ion batteries: An integrated neutrosophic decision-making model, Journal of Cleaner Production, 317, (2021)
  • [14] Edalatpanah S. A., A nonlinear approach for neutrosophic linear programming, Journal of applied research on industrial engineering, 6, 4, pp. 367-373, (2019)
  • [15] Edalatpanah S. A., Neutrosophic structured element, Expert systems, 37, 5, (2020)
  • [16] Farrokh M., Azar A., Jandaghi G., Ahmadi E., A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty, Fuzzy sets and systems, 341, pp. 69-91, (2018)
  • [17] Fathollahi-Fard A. M., Hajiaghaei-Keshteli M., Mirjalili S., Hybrid optimizers to solve a tri-level programming model for a tire closed-loop supply chain network design problem, Applied Soft Computing, 70, pp. 701-722, (2018)
  • [18] Feng S., Chen C. P., Fuzzy broad learning system: A novel neuro-fuzzy model for regression and classification, IEEE transactions on cybernetics, 50, 2, pp. 414-424, (2018)
  • [19] Ghahremani-Nahr Javid, Nozari Hamed, Bathaee Mehrnaz, Robust Box Approach for Blood Supply Chain Network Design under Uncertainty: Hybrid Moth-Flame Optimization and Genetic Algorithm, International Journal of Innovation in Engineering, 1, 2, pp. 40-62, (2021)
  • [20] Gholizadeh H., Fazlollahtabar H., Robust optimization and modified genetic algorithm for a closed loop green supply chain under uncertainty: Case study in melting industry, Computers & Industrial Engineering, 147, (2020)
12345678