Dynamic Optimization for IPS2 Resource Allocation Based on Improved Fuzzy Multiple Linear Regression

Table 1

Data collection of related factors, resource characters, and primary analysis results of 12 months in 2014 of service agent S.

	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
QT	308	295	357	378	390	415	451	430	471	509	420	363
TE	3	4.2	9	10	12	9	9	8.1	13	12.5	4.2	3.6
WI	0.6	0.4	0.75	0.8	0.9	0.85	0.87	0.65	0.83	0.85	0.6	0.4
AN	21	20	23	25	26	27	30	29	31	34	28	25
AW	7.24	7.60	8.35	8.64	9.23	8.30	8.27	7.72	8.77	8.24	7.14	6.72
DN	19	19	24	27	30	28	31	28	34	35	25	21
WD	−0.76	−0.4	0.35	0.64	1.23	0.3	0.27	−0.28	0.77	0.24	−0.86	−1.28

QT: quantity of excavators, TE: average worktime per day, WI: average work intensity, AN: actual number of engineers, AW: average work hours of engineers, DN: demand number of engineers, and WD: worktime deviation from standard of service engineers.