A neutrosophical model for optimal sustainable closed-loop supply chain network with considering inflation and carbon emission policies

Abstract

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.

Forensic-Engineering Aspect in One Example of Long-Distance Transport of Air Pollutant

“…Also, deposition, interactions and environmental conditions should not be neglected as well as influence and potential effect on human health [24][25][26][27][28]. Whether or not inhalation of PM form desert dust has adverse health effect is insufficiently investigated, there is even studies reviewed assessment of the influence of desert dust on cardiovascular diseases [29][30][31][32]. Also according to World Health Organisation (WHO) mitigation of the adverse health effects of exposure to pollutants in atmosphere has become a worldwide health concern, indicating that correlation with other research area represents challenge according to the complexity of phenomenon.…”

A Multi Objective Optimization Model for Multi-commodity Closed-loop Supply Chain Network Considering Disruption Risk

“…In contrast, finally, Moradi and Sangari (40) outlined a multi-level supply chain network, accounting for uncertain parameters and employing robust optimization techniques to mitigate fixed and transportation costs. Kalantari et al (41)employed a fuzzy robust stochastic optimization approach to reduce environmental impacts while maximizing net present value and social impacts within a sustainable closed-loop supply chain. In recent years, several mathematical models have emerged in the field of closed-loop supply chain management.…”

Linguistic Single-Valued Neutrosophic Multi-Criteria Group Decision Making Based on Personalized Individual Semantics and Consensus

“…Wang et al (2010) introduced single-valued neutrosophic sets (SVNSs), which are considered as an extension of neutrosophic sets. Moreover, various extensions of neutrosophic sets, such as interval neutrosophic sets (Liu et al, 2022;Wang et al, 2005), trapezoidal neutrosophic sets (Liang et al, 2018b;Sarma et al, 2019), type-2 neutrosophic sets (Gokasar et al, 2022), multi-valued neutrosophic sets (MVNSs) (Ji et al, 2018;Ye et al, 2022), probability MVNSs (Liu and Cheng, 2019;, interval-valued fermatean neutrosophic sets (Broumi et al, 2022) and complex fermatean neutrosophic sets (Broumi et al, 2023) have been proposed and applied to address various neutrosophic multi-criteria decision making (MCDM) problems, such as investment decision, personnel selection, disaster management and designing a stable sustainable closed-loop supply chain network (Kalantari et al, 2022). Among various forms of neutrosophic sets, SVNSs are considered as one of the most concise tools to capture DMs' evaluations (Peng and Dai, 2020).…”