Evaluation of Logistic Flows in Green Supply Chains Based on the Combined Dematel-Anp Method

Abstract

Supply chains and transport corridors have a significant impact on the socio-economic and environmental situation in the regions where the elements of the logistics infrastructure are located. The achievement of the goals of the concept of sustainable development in these regions is ensured, among other things, as a result of the formation of green supply chain management (GSCM), that is, as a result of changes in existing approaches to supply chain management. Analysis of the practice of supply chain management showed a wide variety of parameters and indicators of logistics flows used in decision-making at different stages of managing these flows. The authors propose a universal system of the logistic flows parameters and indicators for the GSCM, corresponding to the principles of the concept of sustainable development. A methodology for ranking indicators of logistics flows based on a combined DEMATEL-ANP method has been developed. The results of a case study on the evaluation of logistics flows for the GSCM are presented. The ranks of logistics flow indicators obtained in the study are proposed to be used in GSCM to adjust of the logistics flows actual parameters to achieve the goals of the concept of sustainable development.

An Optimized Method for Accounting Information in Logistic Systems

“…However, under AHP-DEMATEL, the maximum weight reaches 0.27, which is almost 2 times that of DEMATEL, and the maximum and minimum weight ratio reaches 271, which widens the gap of importance, so that the cumulative weight value of the first 6 pieces of information has exceeded 0.9. This reflects that the proposed method has more convergent effect on the importance of factors [36,37].…”

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 Novel Rough Numbers based Extended MACBETH Method Implementation in the Prioritization of the Connected Autonomous Vehicles

“…Since the concept of the MACBETH method is based on mutual comparisons of criteria in the nxn matrix, it methodologically resembles the algorithm Analytical Hierarchy Process (AHP) method (Saaty and Vargas, 2012) and Best Worst Method (BWM) (Rezaei, 2015). However, in addition to initial methodological similarities, there are significant conceptual differences, including: 1) The MACBETH method uses a seven-element interval scale, while the AHP and BWM methods use a nine-point ratio scale (Dwivedi et al, 2021;Karamaşa et al, 2021); 2) In the AHP and BWM methods the criteria are organized on a hierarchical level, while in the MACBETH method the decision tree is used; 3) AHP method uses eigenvalue method, BWM nonlinear model, while MACBETH method uses linear programming model for calculation of weighting coefficients; 4) AHP and BWM methods tolerate inconsistencies up to 10%, while in the MACBETH method there are no inconsistencies and inconsistencies in defining the weights (Subotic et al, 2020;Pamucar and Ecer, 2020); 5) MACBETH method has a mechanism for checking the theoretical and semantic consistency of judgments, while BWM, AHP and other MCDM methodologies (Zizovic and Pamucar, 2019;Bakır et al, 2021;Osintsev et al, 2021) do not have such a mechanism; 6) There are significant differences in the required number of comparisons between MCMD methodologies. For example, the AHP requires n(n-1)/2, the BWM requires 2n-3 comparisons, while the MACBETH method results can be obtained after n-1 comparisons.…”