Title Development of a decision support framework for sustainable freight transport system evaluation using rough numbers
Authors YAZDANI, MORTEZA, Pamucar, Dragan , Chatterjee, Prasenjit , Chakraborty, Shankar
External publication No
Means Int J Prod Res
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
JCR Impact 4.577
SJR Impact 1.776
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070915019&doi=10.1080%2f00207543.2019.1651945&partnerID=40&md5=bfcb5f06acddd91538f1f679d2562c10
Publication date 01/01/2019
ISI 000480957900001
Scopus Id 2-s2.0-85070915019
DOI 10.1080/00207543.2019.1651945
Abstract Among various operational decision-making tasks in a transportation system, sustainable performance evaluation has a very promising and direct influence on the community as well as environment. To prevent and reduce the negative impacts of a freight transportation system, a constant monitoring and performance measurement system has of paramount significance in the process of supply chain management. However, studies of complex transport evaluation systems are very scarce in the existing literature. This paper aims to resolve the problem of freight transport system\'s performance measurement while developing a comprehensive framework with incorporation of sustainable elements and establishing a rough set-based decision-making approach. The applicability of the proposed framework is investigated to evaluate the performance of seven freight transportation companies in Spain. A decision support tool is designed by integrating rough number-based decision-making trial and evaluation laboratory (DEMATEL) and multi-attributive border approximation area comparison (MABAC) methods for their performance appraisal. Sensitivity analysis and comparison with other popular methods are also performed to validate the efficacy of the proposed approach. It is established that rough number-based methodologies have advantages over fuzzy or interval-based models.
Keywords sustainable freight transportation system; evaluation; rough number; DEMATEL; MABAC; sensitivity analysis
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