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 applicable solution to decision-making problems involving the assessment of green transportation indicators and smart network strategies in the logistics sector, which is a critical sector for countries. The purpose of this paper is to address these issues.Design/methodology/approachThis study aims to propose a model for the selection of smart network strategy and to determine the criteria weights used in green transportation indicators, and establish an ideal smart network strategy. In achieving the outlined goals of the study, the authors believe that the model proposed in the study will draw the focus to green logistics which will aid the environmental, economic and social efforts of businesses and governments through the provision of efficient use of scarce resources, which will, in turn, ensure that we leave a sustainable environment for future generations and businesses enjoy a competitive advantage. At the same time, different smart network strategies and green transportation indicators in companies show the success rate of social, economic and environmental indicators in green logistics practices. In addition to providing innovative, reliable and sustainable transportation systems, smart network strategies are critical for businesses to create cost advantages. Through the green transportation indicators and smart network strategies selection model outlined in this study, it is clear that the contribution will not only be limited to businesses, as the society and governments will also benefit from the important indicators on sustainability, as well as the protection of the environment and nature.FindingsAccording to the findings, “economic indicators” is the essential green transportation indicator in logistics companies with a corporate identity and worldwide transportation operations. Besides, the “mixed access model strategy” is the most appropriate smart network strategy in logistics firms with corporate identity and worldwide transportation activities. Currently, it is possible to assume that logistics organizations prefer to profit from all smart network strategies in terms of cost optimization and competitiveness rather than from just one. The study, on the other hand, which is a road map that will help sustainability practices in the logistics sector due to green transportation, also examines the similarities and differences of green transportation practices in companies in the relevant sector and to what extent they can be reflected. As a result, the study provides a practical road map for selecting green transport indicators and a smart network strategy process for the logistics industry.Originality/valueThis study examined logistics companies with a corporate identity and international transportation activities in provinces in the Eastern Black Sea Region such as Ordu, Giresun, Trabzon, Rize, Artvin and Gümüshane. Novel picture fuzzy level based weight assessment (PF-LBWA) and picture fuzzy combined compromise solution (PF-CoCoSo) methods are developed to solve the decision-making problem.

Evaluate teaching quality of physical education using a hybrid multi-criteria decision-making framework

“…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.…”

Application of fuzzy methods in green and sustainable supply chains: critical insights from a systematic review and bibliometric analysis

“…, 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).…”

“…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 .…”

Assessing Green Approaches and Digital Marketing Strategies for Twin Transition via Fermatean Fuzzy SWARA-COPRAS

“…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.…”

“…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.…”