Development of a Model for Evaluating the Efficiency of Transport Companies: PCA–DEA–MCDM Model

Axioms

Dragan Pamučar¹  Dragan Vojinović²  Željko Stević³  Smiljka Miškić³  Eldina Huskanović³  Miomir Stanković⁴ 

[1] Department of Logistics, University of Defence in Belgrade, Pavla Jurisica-Sturma 33t, 11000 Belgrade, Serbia;Faculty of Economics Pale, University of East Sarajevo, Alekse Šantića 3, 71240 Pale, Bosnia and Herzegovina;Faculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Bosnia and Herzegovina;Mathematical Institute of the Serbian Academy of Sciences and Arts, 11001 Belgrade, Serbia;

关键词: PCA–DEA;    efficiency;    transport;    MARCOS;    costs;    logistics;   

DOI  :  10.3390/axioms11030140

来源: DOAJ

【 摘 要 】

The efficiency of transport companies is a very important factor for the companies themselves, as well as for the entire economic system. The main goal of this paper is to develop an integrated model for determining the efficiency of representative transport companies over a period of eight years. An original model was developed that includes the integration of DEA (Data Envelopment Analysis), PCA (Principal Component Analysis), CRITIC (Criteria Importance Through Inter criteria Correlatio), Entropy and MARCOS (Measurement Alternatives and Ranking according to the COmpromise Solution) methods in order to determine the final efficiency of transport companies based on 10 input–output parameters. The results showed that the most efficient business performance was achieved in the period 2014–2017, followed by slightly less efficient results. Then, extensive sensitivity analysis and comparative analysis were performed, which confirmed, to some extent, the previously obtained results. In the sensitivity analysis, 30 scenarios with changes in the weights of criteria were created, while the comparative analysis was carried out with three other MCDM (Multi-Criteria Decision-Making) methods. Finally, the rank correlation index was determined using the Spearman and WS (Wojciech Salabun) correlation coefficients. According to the final results, very efficient years can be separated that can be the benchmark for furthering the business.

【 授权许可】

Unknown