Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA-CoCoSo framework

被引:27
|
作者
Korucuk, Selcuk [1 ]
Aytekin, Ahmet [2 ]
Ecer, Fatih [3 ]
Pamucar, Dragan Stevan S. [4 ,5 ]
Karamasa, Caglar [4 ,5 ]
机构
[1] Giresun Univ, Dept Int Trade & Logist, Giresun, Turkey
[2] Artvin Coruh Univ, Dept Business Adm, Artvin, Turkey
[3] Afyon Kocatepe Univ, Dept Business Adm, Afyon, Turkey
[4] Univ Belgrade, Fac Org Sci, Dept Operat Res & Stat, Belgrade, Serbia
[5] Anadolu Univ, Dept Business Adm, Eskisehir, Turkey
关键词
Green transportation; Smart network strategy; Logistics; Picture fuzzy sets; Sustainability; MCDM; GREEN LOGISTICS; TRANSPORTATION; SUSTAINABILITY; MODEL; IMPLEMENTATION; INDICATORS; CITIES; PORTS;
D O I
10.1108/MD-12-2021-1621
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose Nowadays, 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, Gumushane, 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/approach This 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. Findings According 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/value This 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 Gumushane. 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.
引用
收藏
页码:1434 / 1462
页数:29
相关论文
共 2 条
  • [1] Biofuel Production Plant Location Selection Using Integrated Picture Fuzzy Weighted Aggregated Sum Product Assessment Framework
    Hezam, Ibrahim M.
    Cavallaro, Fausto
    Lakshmi, Jyoti
    Rani, Pratibha
    Goyal, Subhanshu
    SUSTAINABILITY, 2023, 15 (05)
  • [2] Decision support framework for healthcare waste disposal techniques assessment using an integrated picture fuzzy gained and lost dominance score-based approach
    Mishra, Arunodaya Raj
    Rani, Pratibha
    Saeidi, Parvaneh
    Alrasheedi, Adel Fahad
    Alshamrani, Ahmad M.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 138