A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

Krstić, Mladen; Tadić, Snežana; Kovač, Milovan; Roso, Violeta; Zečević, Slobodan

doi:10.1155/2021/5969788

Cited by 17 publications

(10 citation statements)

References 122 publications

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“…The Combined Compromise Solution (CoCoSo) method was used to choose logistics and transportation companies [22]. Most of the methods mentioned above have been further ex-tended by various authors, mostly with the fuzzy sets which deal with uncertainty and linguistic information [23][24][25][26][27][28][29][30].…”

Section: Literature Reviewmentioning

confidence: 99%

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An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN)—A Case Study of the Electric Vehicle Selection Problem

et al. 2023

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Decision-making is a ubiquitous and paramount issue in the modern business world. Inappropriate decisions may lead to severe consequences for companies. Considering that the evaluation of alternatives is generally affected by several criteria, decision-making should be considered a very challenging task. From the 1980s to the present day, various multi-criteria decision-making (MCDM) methods have evolved, supporting people in the decision-making process. The main aim of this paper is to propose an original MCDM method and to demonstrate its applicability in an empirical case study. To solve the electric vehicle selection problem for the last-mile delivery, we developed and applied a new MCDM method -the AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalization) method. To demonstrate the robustness of the proposed method, a comparative analysis with other state-of-the-art MCDM methods is conduct-ed. The results indicate a high level of confidence in the AROMAN method in the decision-making field. In addition, the sensitivity analysis is performed, and the results indicate a high level of stability.

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Section: Literature Reviewmentioning

confidence: 99%

“…Regarding MCDM methods in LMD, there are several publications in the Web of Science database. For example, a novel hybrid MCDM model was developed to evaluate sustainable LMD solutions [28], where the Delphi, Factor Relationship (FARE), and VIKOR methods were coupled into the fuzzy environment. The methodology was tested in Belgrade.…”

Section: Literature Reviewmentioning

confidence: 99%

An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN)—A Case Study of the Electric Vehicle Selection Problem

et al. 2023

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“…Although the method can be applied alone, it is more often used as part of hybrid MCDM models combining multiple methods. Using this method along with other methods, Roy et al [39] evaluated and selected a logistics service provider; Yazdani [40] selected production materials; Chatterjee et al [37] selected a machining process; Stankevičien ė et al [41] assessed the impact of technology transfer on created value; Pitchipoo et al [42] evaluated visibility in freight vehicles; Krstić et al [43] evaluated sustainable last-mile solutions; Kazan et al [38] selected political candidates; Girdzijauskaite et al [44] evaluated the impact of key performance indicators on university competitiveness; etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Intermodal Terminal Subsystem Technology Selection Using Integrated Fuzzy MCDM Model

et al. 2023

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Intermodal transportation is the use of multiple modes of transportation, which can lead to greater sustainability by reducing environmental impact and traffic congestion and increasing the efficiency of supply chains. One of the preconditions for efficient intermodal transport is the efficient intermodal terminal (IT). ITs allow for the smooth and efficient handling of cargo, thus reducing the time, cost, and environmental impact of transportation. Adequate selection of subsystem technologies can significantly improve the efficiency and productivity of an IT, ultimately leading to cost savings for businesses and a more efficient and sustainable transportation system. Accordingly, this paper aims to establish a framework for the evaluation and selection of appropriate technologies for IT subsystems. To solve the defined problem, an innovative hybrid multi-criteria decision making (MCDM) model, which combines the fuzzy factor relationship (FFARE) and the fuzzy combinative distance-based assessment (FCODAS) methods, is developed in this paper. The FFARE method is used for obtaining criteria weights, while the FCODAS method is used for evaluation and a final ranking of the alternatives. The established framework and the model are tested on a real-life case study, evaluating and selecting the handling technology for a planned IT. The study defines 12 potential variants of handling equipment based on their techno-operational characteristics and evaluates them using 16 criteria. The results indicate that the best handling technology variant is the one that uses a rail-mounted gantry crane for trans-shipment and a reach stacker for horizontal transport and storage. The results also point to the conclusion that instead of choosing equipment for each process separately, it is important to think about the combination of different handling technologies that can work together to complete a series of handling cycle processes. The main contributions of this paper are the development of a new hybrid model and the establishment of a framework for the selection of appropriate IT subsystem technologies along with a set of unique criteria for their evaluation and selection.

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“…Some articles focus on the selection of the most appropriate CL solution from a set of solutions that are based on different combinations of initiatives, technologies and ideas, for the whole urban area [e.g. 34,20], or the central The article is organised as follows. The next section defines and describes the SSCLs that are analysed, as well as the criteria for their evaluation.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Smart City Logistics Solutions

Tadić¹,

Krstić²,

Kovač³

et al. 2022

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The negative effects of goods flows realisation are most visible in urban areas as the places of the greatest concentration of economic and social activities. The main goals of this article were to identify the applicable Industry 4.0 technologies for performing various city logistics (CL) operations, establish smart sustainable CL solutions (SSCL) and rank them in order to identify those which will serve as the base points for future plans and strategies for the development of smart cities. This kind of problem requires involvement of multiple stakeholders with their opposing goals and interests, and thus multiple criteria. For solving it, this article proposed a novel hybrid multi-criteria decision-making (MCDM) model, based on BWM (Best-Worst Method) and CODAS (COmbinative Distance-based ASsessment) methods in grey environment. The results of the model application imply that the potentially best SSCL solution is based on the combination of the concepts of micro-consolidation centres and autonomous vehicles with the support of artificial intelligence and Internet of Things technologies. The main contributions of the article are the definition of original SSCLs, the creation of a framework and definition of criteria for their evaluation and the development of a novel hybrid MCDM model.

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A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

Cited by 17 publications

References 122 publications

An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN)—A Case Study of the Electric Vehicle Selection Problem

An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN)—A Case Study of the Electric Vehicle Selection Problem

Intermodal Terminal Subsystem Technology Selection Using Integrated Fuzzy MCDM Model

Evaluation of Smart City Logistics Solutions

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