Time period based COPRAS-G method: application on the logistics performance index

Mercangöz, Burcu Adıgüzel; Yıldırım, Bahadır Fatih; Yıldırım, Sultan Kuzu

doi:10.17270/j.log.2020.432

Cited by 21 publications

(9 citation statements)

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“…Aydin [50] evaluated foreign deposit banks by considering uncertain information and the COPRAS method. Mercangzo et al [51] developed a time period based on COPRAS for assessing the performance index of logistics. Alkan and Albayrak [52] developed the fuzzy-based decision framework for clean energy evaluation within Turkey by extending entropy, COPRAS, and MULTIMOORA approaches.…”

Section: Copras Methodsmentioning

confidence: 99%

A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information

Krishankumar

Mishra²,

Cavallaro³

et al. 2022

Sustainability

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This paper aims to put forward an integrated decision approach, with generalized fuzzy information for the viable selection of zero- and low-carbon materials for construction. In countries such as India, the construction sector accounts for high pollution levels and high carbon emissions. To restore sustainability and eco-friendliness, the adoption of low-carbon materials for construction is essential and, owing to the multiple attributes associated with the selection, the problem is viewed as a multi-criteria decision-making problem. Earlier studies on material selection have faced certain issues, such as the following: (i) the modeling of uncertainty is an ordeal task; (ii) the flexibility given to experts during preference elicitation is lacking; (iii) the interactions among the criteria are not well captured; and (iv) a consideration of the criteria type is crucial for ranking. To alleviate these issues, the primary objective of this paper was to develop an integrated framework, with decision approaches for material selection in the construction sector that promote sustainability. To this end, generalized fuzzy information (GFI) was adopted as the preference style as it is both flexible and has the ability to model uncertainty from the following three dimensions: membership, non-membership, and hesitancy grades. Furthermore, the CRITIC approach was extended to the GFI context for calculating criteria weights objectively, by effectively capturing criteria interactions. Furthermore, the COPRAS technique was put forward with the GFI rating for ranking zero- and low-carbon construction materials, based on diverse attributes. The usefulness of the framework was demonstrated via a case example from India and the results showed that the design cost, the financial risk, safety, water pollution, and land contamination were the top five criteria, with blended cement, mud bricks, and bamboo as the top three material alternatives for zero- and low-carbon construction. Finally, a sensitivity analysis and a comparison with other methods revealed the theoretical positives of this framework’s robustness and consistency–but it also revealed some limitations of the proposed framework.

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Section: Copras Methodsmentioning

confidence: 99%

A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information

Krishankumar

Mishra²,

Cavallaro³

et al. 2022

Sustainability

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“…Karaman et al ( 16 ) tested the link between green logistics performance and the presence and number of sustainability reports in the logistics sector with logistic regression analysis using data collected from 2007 to 2016 for 117 countries. Mercangoz et al ( 17 ) ranked 28 EU countries and five candidate EU countries according to their logistics performance scores using the complex proportional assessment of alternatives with grey relations (COPRAS-G) method. Yıldırım and Adiguzel ( 3 ) analyzed the logistics performance of OECD countries using FAHP and grey additive ratio assessment (ARAS-G) methods between 2010 to 2018 and compared the current LPI rankings.…”

Section: Literature Researchmentioning

confidence: 99%

Novel Integrated Hybrid Multi-Criteria Decision-Making Approach for Logistics Performance Index

Çalık

Rouyendegh

Özdemir

2022

Transportation Research Record: Journal of the Transportation R

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There is no doubt that technological changes and globalization have increased the importance of the logistics industry. The effectiveness of logistics services is directly related to expanding the trade network between countries, increasing foreign direct investments and growing the economy. The World Bank evaluates the logistics competitiveness of countries by using its Logistics Performance Index. However, logistics performance evaluation includes multiple criteria, and a realistic assessment process, such as the multi-criteria decision-making (MCDM) technique, is needed. In this study, a comparative analysis of hybrid MCDM methods is utilized to evaluate the logistics performance of 160 Organisation for Economic Co-operation and Development countries by using a group decision-making approach. In the first step, the importance levels of the logistics performance criteria were calculated. Then, the logistics performances of the countries were analyzed. In the last step, the Borda count method was implemented for the results of different hybrid MCDM methods to give final rankings.

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“…For instance, in [14] a grey forecasting based analysis was carried out. Mercangoz et al [73] devised a grey based COPRAS scheme for evaluating competitiveness of LM performance of European Union (EU) member states.…”

Section: Literature Reviewmentioning

confidence: 99%

A New Logarithm Methodology of Additive Weights (Lmaw) for Multi-Criteria Decision-Making: Application in Logistics

Pamučar

Žižović

Biswas³

et al. 2021

FU Mech Eng

103

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Logistics management has been playing a significant role in ensuring competitive growth of industries and nations. This study proposes a new Multi-Criteria Decision-making (MCDM) framework for evaluating operational efficiency of logistics service provider (LSP). We present a case study of comparative analysis of six leading LSPs in India using our proposed framework. We consider three operational metrics such as annual overhead expense (OE), annual fuel consumption (FC) and cost of delay (CoD, two qualitative indicators such as innovativeness (IN) which basically indicates process innovation and average customer rating (CR)and one outcome variable such as turnover (TO) as the criteria for comparative analysis. The result shows that the final ranking is a combined effect of all criteria. However, it is evident that IN largely influences the ranking. We carry out a comparative analysis of the results obtained from our proposed method with that derived by using existing established frameworks. We find that our method provides consistent results; it is more stable and does not suffer from rank reversal problem.

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Time period based COPRAS-G method: application on the logistics performance index

Cited by 21 publications

References 0 publications

A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information

A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information

Novel Integrated Hybrid Multi-Criteria Decision-Making Approach for Logistics Performance Index

A New Logarithm Methodology of Additive Weights (Lmaw) for Multi-Criteria Decision-Making: Application in Logistics

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