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

Table 10

Forecasting values over the period 2018–2020 (USD in millions).

DMUs	Year	(I)AS	(I)CA	(I)CL	(I)CP	(O)RE	(O)GP
CHRW	2018	4592	2525	2174	2356	14758	1261
DSDVY		7515	3598	2937	3087	13718	4000
ECHO		1109	412	280	776	2301	404
EXPD		3085	2532	1076	1989	6692	927
HUBG		1794	684	574	1059	4060	578
JBHT		4846	1531	920	3296	7446	1270
KHNGY		7529	5017	4760	2209	18460	2651
KRRYF		5322	1569	1439	3076	4318	576
PLWTF		1729	1461	1008	562	4874	1667
UPS		48589	17183	14580	23595	67575	51452
CHRW	2019	5089	2729	2397	2645	15190	1299
DSDVY		8965	4329	3516	3935	16254	4895
ECHO		1372	496	350	948	2688	465
EXPD		3189	2653	1124	2048	6750	961
HUBG		1997	712	658	1197	4227	894
JBHT		5323	1810	1013	3776	7857	1273
KHNGY		7919	5304	5260	2185	18905	2753
KRRYF		5985	1718	1777	3320	4947	631
PLWTF		1703	1444	1015	531	4540	2719
UPS		52683	19003	16419	28696	70509	53673
CHRW	2020	5640	2950	2643	2970	15634	1338
DSDVY		10696	5208	4208	5016	19258	5990
ECHO		1696	597	438	1159	3141	534
EXPD		3297	2780	1174	2109	6808	996
HUBG		2222	741	754	1354	4401	1385
JBHT		5848	2139	1115	4326	8291	1277
KHNGY		8330	5608	5813	2161	19360	2859
KRRYF		6731	1880	2194	3583	5667	691
PLWTF		1678	1428	1022	503	4229	4432
UPS		57122	21016	18491	34900	73571	55990