Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/14033
Title: A new logarithm methodology of additive weights (LMAW) for multi-criteria decision-making: Application in logistics
Authors: Pamucar, Dragan
Žižović, Mališa
Biswas, Sanjib
Božanić, Darko
Journal: Facta Universitatis, Series: Mechanical Engineering
Issue Date: 1-Jan-2021
Abstract: 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.
URI: https://scidar.kg.ac.rs/handle/123456789/14033
Type: Article
DOI: 10.22190/FUME210214031P
ISSN: 03542025
SCOPUS: 85117161674
Appears in Collections:Faculty of Technical Sciences, Čačak
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