Multi-Criteria Decision Making Methods for Selection of Lightweight Material for Railway Vehicles

Sharma, Varun; Živić, Fatima; Adamović, Dragan; Ljusic, Petar; Kotorcevic, Nikola; Slavkovic, Vukasin; Grujović, Nenad

doi:10.3390/ma16010368

Cited by 9 publications

(5 citation statements)

References 76 publications

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“…Sharma et al . 87 investigated the optimal material selection problem for railway wagons using VIKOR, TOPSIS, PROMETTHEE, and WASPAS methods and also compared the relative performances. The study revealed aluminum alloy Al 6005-T6 as the most suitable material.…”

Section: Literature Reviewmentioning

confidence: 99%

A decision analysis model for material selection using simple ranking process

Zakeri

Chatterjee

Konstantas

et al. 2023

Sci Rep

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A large number of materials and various criteria fashion material selection problems as complex multi-criteria decision-making (MCDM) problems. This paper proposes a new decision-making method called the simple ranking process (SRP) to solve complex material selection problems. The accuracy of the criteria weights has a direct impact on the outcomes of the new method. In contrast to current MCDM methods, the normalization step has been eliminated from the SRP method as a potential source of producing incorrect results. The application of the method is appropriate for situations with high levels of complexity in material selection because it only considers the ranks of alternatives in each criterion. The first scenario of vital-immaterial mediocre method (VIMM) is used as a tool to derive criteria weights based on expert assessment. The result of SRP is compared with a number of MCDM methods. In order to evaluate the findings of analytical comparison, a novel statistical measure known as compromise decision index (CDI) is proposed in this paper. CDI revealed that the MCDM methods’ outputs for solving the material selection could not be theoretically proven and requires to be evaluated through practice. As a result, the dependency analysis-an additional innovative statistical measure is introduced to demonstrate the reliability of MCDM methods by assessing its dependency on criteria weights. The findings demonstrated that SRP is extremely reliant on criteria weights and its reliability rises with the number of criteria, making it a perfect tool for solving challenging MCDM problems.

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Section: Literature Reviewmentioning

confidence: 99%

A decision analysis model for material selection using simple ranking process

Zakeri

Chatterjee

Konstantas

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Divya Zindani et al [17] proposed the robustness and applicability of the TODIM method in addressing material selection issues demonstrated by a sensitivity study demonstrating the impact of different values of the attenuation factor of the losses on the rankings of the candidate materials. Varun Sharma et al [18] compared the rankings of the materials using four different Multicriteria Decision Making Techniques (MCDM) to determine which material is best for railway wagons among three steel and three aluminum-based materials. Chakraborty et al [19] mentioned a set of alternative suppliers are ranked using a relatively new MCDM technique known as Measurement Alternatives and Rating According to Compromise Solution (MARCOS).…”

Section: Mcdm Multiple Criteria Decision Making (Mcdm)mentioning

confidence: 99%

Strategic Decision Making at a Steel Industry Assisted by Fuzzy Theory and Multicriteria Decision Making Model

Van Thanh,

Luyen,

Tinh

et al. 2023

IEEE Access

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Steel production is one of the major focuses of Vietnamese government's industrial development plans in the last few decades and the industry has experienced sustained growth where enterprises have made great strides in terms of scale, output, and technology. The growth and expansion of the steel industry, however, must be carefully evaluated due to the sizeable amount of waste, including wastewater, gas, and solid waste, as well as the significant emission of pollutants. Vietnamese steel companies are confronted with the difficulty of establishing sustainable practices to satisfy the sustainability requirements of stakeholders. Green suppliers evaluation and selection is a complex process where multiple quantitative and qualitative criteria must be considered. In this study, a Multicriteria Decision Making (MCDM) model is developed to support the green suppliers evaluation process in the steel manufacturing industry in Vietnam. The proposed model combines Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and Tomada de Decisao Interativa Multicriterio (TODIM) methods to determine the most suitable suppliers based on relevant criteria. The main contribution of this study is to develop a Fuzzy MCDM model to support decision makers in the steel industry in green steel suppliers evaluation proceess. The proposed model is then applied to a case study in Vietnam to demonstrate its application feasibility. The results suggested that among the potential alternatives, Supplier 5 (Viet Uc Steel) is identified as the optimal supplier.

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“…If a car wants to increase its speed without the same original power system, the most effective way is to reduce the body mass. Since the 70s of the 20th century, aluminum alloy materials have begun to appear in large quantities in cars, and the total proportion of aluminum alloy in some cars has reached 15%, and some German brands have reached as high as 25% [1]. While in the railage industry, different series of aluminum alloys have already been heavily used in elements of railway vehicles due to their superb lightweight properties and corrosion resistance [2].…”

Section: Introductionmentioning

confidence: 99%

Research on Properties and Applications of New Lightweight Aluminum Alloy Materials

Yong

2024

HSET

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The burgeoning demands of contemporary industry have necessitated a huge shift in the selection and utilization of materials, steering focus towards those that embody enhanced properties and environmental sustainability. Lightweight aluminum alloys have emerged as frontrunners in this transition owing to their low density, high strength, ease of processing, and environmental compatibility. These attributes have propelled aluminum alloys to a position of prominence, often superseding steel as the preferred choice in various industrial domains. In the transportation sector, the merits of these alloys are particularly conspicuous. They have become instrumental in automobile manufacturing, facilitating a reduction in vehicle weight, which in turn augments fuel efficiency and bolsters endurance. This trajectory is anticipated to persist, with high-strength aluminum alloys poised to become quintessential structural materials in future automotive manufacturing endeavors. These new materials, characterized by superior strength and enhanced corrosion resistance, are expected to be crafted utilizing emergent technologies such as 3D printing, heralding a transformative era in the automotive industry. This study delineates the escalating significance of lightweight aluminum alloys in modern industry, with a special emphasis on their transformative potential in revolutionizing automotive manufacturing through advancements in material science and technology. It underscores the pivotal role these alloys are set to play in shaping a sustainable and efficient future for the automotive industry.

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Multi-Criteria Decision Making Methods for Selection of Lightweight Material for Railway Vehicles

Cited by 9 publications

References 76 publications

A decision analysis model for material selection using simple ranking process

A decision analysis model for material selection using simple ranking process

Strategic Decision Making at a Steel Industry Assisted by Fuzzy Theory and Multicriteria Decision Making Model

Research on Properties and Applications of New Lightweight Aluminum Alloy Materials

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