2022
DOI: 10.1108/md-12-2021-1621
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Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA–CoCoSo framework

Abstract: PurposeNowadays, companies have required new alternatives and strategies to handle environmental sustainability difficulties, primarily as ecological and social awareness has grown. In this context, the aim is to determine the green transportation indicators in companies with corporate identity and logistics activities at the international level in Giresun, Ordu, Gümüshane, Artvin, Rize, and Trabzon in the Eastern Black Sea Region in Turkey. At the same time, the study contributes to providing an effective and… Show more

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Cited by 23 publications
(12 citation statements)
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“…Liang et al [ 18 ] integrated the EDAS (evaluation based on the distance from average solution) with ELECTRE (elimination and choice translating reality) models for evaluating cleaner production of mines; Wang et al [ 19 ] investigated the picture fuzzy MABAC (multi-attributive border approximation area comparison) technique to solve risk assessment problems of energy contracting projects; Ashraf et al [ 20 ] modified the TOPSIS method for solving decision-making issues in picture fuzzy surroundings; Wei et al [ 21 ] presented a picture fuzzy bidirectional projection approach to assess safety of construction project; Luo et al [ 22 ] selected the site of tailings pond with an extended WDBA (Weighted Distance Based Approximation) method under picture fuzzy circumstances; Gündoğdu et al [ 23 ] assessed public transport service quality with the AHP (Analytic Hierarchy Process) and linear assignment model in picture fuzzy surroundings; Aydoğmuş et al [ 24 ] developed a CODAS (Combinative Distance-based Assessment) algorithm to select suitable ERP (Enterprise Resource Planning) systems within picture fuzzy situations; Korucuk et al [ 25 ] proposed a CoCoSo (combined compromise solution) method with PFNs for evaluating ideal smart network strategies for logistics companies; Gireesha et al [ 26 ] introduced a picture fuzzy MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) method to assess could service; and Yildirim and Yıldırım [ 27 ] modified VIKOR (VlseKriterijuska Optimizacija I Komoromisno Resenje) approach with picture fuzzy information to assess the satisfaction level of citizens in municipality services.…”
Section: Introductionmentioning
confidence: 99%
“…Liang et al [ 18 ] integrated the EDAS (evaluation based on the distance from average solution) with ELECTRE (elimination and choice translating reality) models for evaluating cleaner production of mines; Wang et al [ 19 ] investigated the picture fuzzy MABAC (multi-attributive border approximation area comparison) technique to solve risk assessment problems of energy contracting projects; Ashraf et al [ 20 ] modified the TOPSIS method for solving decision-making issues in picture fuzzy surroundings; Wei et al [ 21 ] presented a picture fuzzy bidirectional projection approach to assess safety of construction project; Luo et al [ 22 ] selected the site of tailings pond with an extended WDBA (Weighted Distance Based Approximation) method under picture fuzzy circumstances; Gündoğdu et al [ 23 ] assessed public transport service quality with the AHP (Analytic Hierarchy Process) and linear assignment model in picture fuzzy surroundings; Aydoğmuş et al [ 24 ] developed a CODAS (Combinative Distance-based Assessment) algorithm to select suitable ERP (Enterprise Resource Planning) systems within picture fuzzy situations; Korucuk et al [ 25 ] proposed a CoCoSo (combined compromise solution) method with PFNs for evaluating ideal smart network strategies for logistics companies; Gireesha et al [ 26 ] introduced a picture fuzzy MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) method to assess could service; and Yildirim and Yıldırım [ 27 ] modified VIKOR (VlseKriterijuska Optimizacija I Komoromisno Resenje) approach with picture fuzzy information to assess the satisfaction level of citizens in municipality services.…”
Section: Introductionmentioning
confidence: 99%
“…, 2022). From a methodological point of view, comparative analyses in different decision-making environments like “spherical fuzzy, fermatean fuzzy, hesitant fuzzy” and methods like “multi-attribute ideal-real comparative analysis (MAIRCA)”, “measurement of alternatives and rankings according to compromise solution (MARCOS)” can be used in the future (Korucuk et al. , 2022).…”
Section: Discussion and Application Area-wise Key Insights For Futurementioning
confidence: 99%
“…From a methodological point of view, comparative analyses in different decisionmaking environments like "spherical fuzzy, fermatean fuzzy, hesitant fuzzy" and methods like "multi-attribute ideal-real comparative analysis (MAIRCA)", "measurement of alternatives and rankings according to compromise solution (MARCOS)" can be used in the future (Korucuk et al, 2022). In addition, various new MCDM models or structures such as "double normalization-based multiple aggregation (DNMA), measurement alternatives and ranking according to compromise solution (MARCOS) and gained and lost dominance score (GLDS)" can be utilized in future research .…”
Section: Integrated Frameworkmentioning
confidence: 99%
“…Sensitivity and comparison analyses play an essential role to gain confidence in the results obtained [129][130][131][132]. In this context, to assess the suggested model, a comprehensive three-stage sensitivity analysis has been carried out.…”
Section: Robustness Testmentioning
confidence: 99%
“…Similarly, the study's methodology can be applied to a wide range of problems in various fields, such as engineering, business, health, etc. Future research could compare different decision-making environments, such as spherical and T-spherical fuzzy sets [155,156], picture fuzzy sets [132,157], hesitant fuzzy sets [158,159], neutrosphic sets [160,161], optimization problems modeling with fuzzy logic [162,163] and methods, such as MACBETH, MAIRCA, REF, PROMETHEE and SAW. The limitations and practical and managerial implications are discussed in the subheadings following.…”
Section: Future Workmentioning
confidence: 99%