Research Article

Applying EBM Model and Grey Forecasting to Assess Efficiency of Third-Party Logistics Providers

Table 11

Forecasting values over the term of 2021–2022 (USD in millions).

DMUsYear(I)AS(I)CA(I)CL(I)CP(O)RE(O)GP

CHRW20216250318929153334160921378
DSDVY12760626650366394228187330
ECHO209771854814173670614
EXPD340929141226217268661033
HUBG2472772864153145812144
JBHT642525281227495787491281
KHNGY8762592964232138198272969
KRRYF75702058270938686493757
PLWTF16531411102847639397226
UPS619362324320824424457676658407

CHRW20226926344732153743165631419
DSDVY15223753960288150270368971
ECHO259486468617324287706
EXPD352430531281223769261071
HUBG2751804990173247693320
JBHT705829881350567992321284
KHNGY9216626970982114203053083
KRRYF85142252334541747438829
PLWTF162813951035450367011782
UPS671552570523451516208010060928