Criteria for Selection of Transportation Vehicles According to Cargo Companies Using Fuzzy Methods

Freight transportation is one of the most important and costly operations in logistics as economy and society are significantly depended on freight transportation for the sustainability of life. Vehicle selection in freight transportation is a crucial and strategic decision as it requires high investments, and if the desired performance cannot be achieved from these vehicles, which were bought at a high expense, they would inevitably be idle. Vehicle selection problem in logistics is essentially a multi-criteria decision problem as it consists of several criteria, some conflicting with each other. The aim of this research is to find out which criteria freight companies value the most when assessing and selecting the vehicles they use on the road by using fuzzy BWM and fuzzy SWARA methods. Since the number of studies using fuzzy BWM and fuzzy SWARA is low in the literature and there are few studies in the literature related to transportation vehicle selection in the logistics, this study will contribute to the literature.

[1]  Huchang Liao,et al.  Electric vehicle charging station site selection by an integrated hesitant fuzzy swara-waspas method , 2019 .

[2]  Ravi Kant,et al.  Evaluation and ranking of solutions to mitigate sustainable remanufacturing supply chain risks: a hybrid fuzzy SWARA-fuzzy COPRAS framework approach , 2020 .

[3]  Ravi Shankar,et al.  Evaluating solutions to overcome humanitarian supply chain management barriers: A hybrid fuzzy SWARA – Fuzzy WASPAS approach , 2020 .

[4]  Reza Akbari,et al.  HSE risk prioritization of molybdenum operation process using extended FMEA approach based on Fuzzy BWM and Z-WASPAS , 2020, J. Intell. Fuzzy Syst..

[5]  Jurgita Antucheviciene,et al.  The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator , 2018, Sustainability.

[6]  Huchang Liao,et al.  Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing , 2019, Journal of Cleaner Production.

[7]  Mohd Nizam Ab Rahman,et al.  Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information , 2020, Symmetry.

[8]  Muhammet Gul,et al.  Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA , 2020, Stochastic Environmental Research and Risk Assessment.

[9]  Jing Wang,et al.  A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: A case of smart bike-sharing programs in Changsha , 2018 .

[10]  Arunodaya Raj Mishra,et al.  Novel Multi-Criteria Intuitionistic Fuzzy SWARA–COPRAS Approach for Sustainability Evaluation of the Bioenergy Production Process , 2020, Sustainability.

[11]  Soroush Avakh Darestani,et al.  Developing a decision support system for logistics service provider selection employing fuzzy MULTIMOORA & BWM in mining equipment manufacturing , 2020, Appl. Soft Comput..

[12]  Detcharat Sumrit,et al.  Supplier selection for vendor-managed inventory in healthcare using fuzzy multi-criteria decision-making approach , , 2020 .

[13]  M. R. Moniri,et al.  Turnaround project risk assessment using hybrid fuzzy SWARA and EDAS method: case of upstream oil process industries in Iran , 2020, Journal of Engineering, Design and Technology.

[14]  Sen Liu,et al.  Resilient Supplier Selection Based on Fuzzy BWM and GMo-RTOPSIS under Supply Chain Environment , 2019, Discrete Dynamics in Nature and Society.

[15]  Selçuk Perçin,et al.  An integrated fuzzy SWARA and fuzzy AD approach for outsourcing provider selection , 2019, Journal of Manufacturing Technology Management.

[16]  Omid Ghorbanzadeh,et al.  An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety , 2020, Mathematics.

[17]  Sen Guo,et al.  Fuzzy best-worst multi-criteria decision-making method and its applications , 2017, Knowl. Based Syst..

[18]  Miloš Madić,et al.  COMPARISON OF THREE FUZZY MCDM METHODS FOR SOLVING THE SUPPLIER SELECTION PROBLEM , 2019 .

[19]  Dragan Pamučar,et al.  Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers , 2017 .

[20]  Dragisa Stanujkic,et al.  The Framework for the Selection of Personnel Based on the SWARA and ARAS Methods Under Uncertainties , 2016, Informatica.

[21]  Edmundas Kazimieras Zavadskas,et al.  A Novel Multicriteria Approach – Rough Step-Wise Weight Assessment Ratio Analysis Method (R-SWARA) and Its Application in Logistics , 2018 .

[22]  Peter Wanke,et al.  A New Hybrid Fuzzy Model: Satisfaction of Residents in Touristic Areas toward Tourism Development , 2021 .

[23]  E. Zavadskas,et al.  A new fuzzy BWM approach for evaluating and selecting a sustainable supplier in supply chain management , 2020 .

[24]  Abteen Ijadi Maghsoodi,et al.  Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach , 2018, Sustainability.

[25]  Alptekin Ulutaş,et al.  Location selection for logistics center with fuzzy SWARA and CoCoSo methods , 2020, J. Intell. Fuzzy Syst..

[26]  Mohammad Ehsanifar,et al.  Identification and assessment of risk in construction projects using the integrated FMEA-SWARA-WASPAS model under fuzzy environment: a case study of a construction project in Iran , 2021, International Journal of Construction Management.

[27]  Valentinas Podvezko,et al.  Integrated Determination of Objective Criteria Weights in MCDM , 2016, Int. J. Inf. Technol. Decis. Mak..

[28]  Abteen Ijadi Maghsoodi,et al.  Hybrid hierarchical fuzzy group decision-making based on information axioms and BWM: Prototype design selection , 2019, Comput. Ind. Eng..

[29]  Yanfeng Li,et al.  An Approach for Resilient-Green Supplier Selection Based on WASPAS, BWM, and TOPSIS under Intuitionistic Fuzzy Sets , 2020 .

[30]  Ali Emrouznejad,et al.  Finding the optimal combination of power plants alternatives: A multi response Taguchi-neural network using TOPSIS and fuzzy best-worst method , 2018, Journal of Cleaner Production.

[31]  Zhang-peng Tian,et al.  Green Supplier Selection Using Improved TOPSIS and Best-Worst Method Under Intuitionistic Fuzzy Environment , 2018, Informatica.

[32]  Arunodaya Raj Mishra,et al.  Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection , 2020 .

[33]  Alptekin Ulutaş,et al.  University Website Performance Evaluation Using Fuzzy SWARA and WASPAS-F , 2019, Multi-Criteria Decision-Making Models for Website Evaluation.

[34]  Aijun Liu,et al.  The selection of 3PRLs on self-service mobile recycling machine: Interval-valued pythagorean hesitant fuzzy best-worst multi-criteria group decision-making , 2019, Journal of Cleaner Production.

[35]  Maryam Darvishi,et al.  Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company , 2020 .

[36]  Huayou Chen,et al.  An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods , 2019, Inf. Sci..

[37]  Nihal Erginel,et al.  Futuristic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment , 2020 .

[38]  Himanshu Gupta,et al.  Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS , 2017 .

[39]  Huchang Liao,et al.  INTEGRATING BWM AND ARAS UNDER HESITANT LINGUISTIC ENVIRONMENT FOR DIGITAL SUPPLY CHAIN FINANCE SUPPLIER SECTION , 2019, Technological and Economic Development of Economy.

[40]  Madjid Tavana,et al.  A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains , 2020, Journal of Cleaner Production.

[41]  Fatih Ecer,et al.  Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model , 2020 .

[42]  Samuel Yousefi,et al.  An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures , 2019, Appl. Soft Comput..

[43]  J. Rezaei.  Best-worst multi-criteria decision-making method , 2015 .

[44]  M. Goh,et al.  Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry , 2017 .

[45]  Arunodaya Raj Mishra,et al.  A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak , 2020, Applied Soft Computing.

[46]  Carlos A. González-Calderón,et al.  Freight mode choice: Results from a nationwide qualitative and quantitative research effort , 2021 .

[48]  Aijun Liu,et al.  A three-phase fuzzy multi-criteria decision model for charging station location of the sharing electric vehicle , 2020 .

[49]  Desmond Eseoghene Ighravwe,et al.  An integrated approach of SWARA and fuzzy COPRAS for maintenance technicians’ selection factors ranking , 2019, International Journal of System Assurance Engineering and Management.

[50]  K. S. Ravichandran,et al.  Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS) , 2020, Symmetry.

[51]  Yanfeng Li,et al.  Blockchain Service Provider Selection Based on an Integrated BWM-Entropy-TOPSIS Method Under an Intuitionistic Fuzzy Environment , 2020, IEEE Access.

[52]  Huiru Zhao,et al.  Comprehensive assessment for battery energy storage systems based on fuzzy-MCDM considering risk preferences , 2019, Energy.

[53]  Jurgita Antucheviciene,et al.  An Extended Step-Wise Weight Assessment Ratio Analysis with Symmetric Interval Type-2 Fuzzy Sets for Determining the Subjective Weights of Criteria in Multi-Criteria Decision-Making Problems , 2018, Symmetry.

[54]  Alptekin Ulutaş,et al.  Using of Fuzzy SWARA and Fuzzy ARAS Methods to Solve Supplier Selection Problem , 2020, Theoretical and Applied Mathematics in International Business.

[55]  A. Mehdiabadi,et al.  Ranking of Sustainable Medical Tourism Destinations in Iran: An Integrated Approach Using Fuzzy SWARA-PROMETHEE , 2021, Sustainability.

[56]  Himanshu Gupta,et al.  Assessing organizations performance on the basis of GHRM practices using BWM and Fuzzy TOPSIS. , 2018, Journal of environmental management.

[57]  Alok Raj,et al.  Sustainability performance assessment of an aircraft manufacturing firm , 2018, Benchmarking: An International Journal.

[58]  Sui-Zhi Luo,et al.  A Hybrid Decision Making Framework for Personnel Selection Using BWM, MABAC and PROMETHEE , 2019, International Journal of Fuzzy Systems.

[59]  Jurgita Antucheviciene,et al.  A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations , 2018 .

[60]  Amir Amini,et al.  Multi-criteria sustainable supplier selection using piecewise linear value function and fuzzy best-worst method , 2019, J. Intell. Fuzzy Syst..

[61]  Mei Mei,et al.  Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA , 2021, Renewable Energy.

[62]  R. Ketabchi,et al.  An application of fuzzy BWM for risk assessment in offshore oil projects , 2019, Journal of Project Management.

[63]  Razieh Rahimi,et al.  Sustainable landfill site selection for municipal solid waste based on a hybrid decision-making approach: Fuzzy group BWM-MULTIMOORA-GIS , 2020 .

[64]  Hadi Ghaderi,et al.  Sustainable third-party reverse logistics provider evaluation and selection using fuzzy SWARA and developed fuzzy COPRAS in the presence of risk criteria , 2018, Appl. Soft Comput..

[65]  Edmundas Kazimieras Zavadskas,et al.  Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara) , 2010 .

[66]  Reza Tavakkoli-Moghaddam,et al.  Pharmacological therapy selection of type 2 diabetes based on the SWARA and modified MULTIMOORA methods under a fuzzy environment , 2018, Artif. Intell. Medicine.