Research Article

Dynamic Vehicle Scheduling for Working Service Network with Dual Demands

Table 1

Performance for MIP, RM-SPIP, and RM- DPIDP model applied to different working service station size.

Number of service stationOPT difference ($)CPU time (s)
MIPRM-SPIPRM-DPIDPMIPRM-SPIPRM-DPIDP

3232527365392577442447.4689.1900.6
5282930362955617750462.1689.0910.9
8311313463953635832475.8717.4900.2
10325420507720736300502.8702.1943.4
13399359528024819622510.0757.9937.4
15457170627995830250937.4777.6985.4
18466665707605978812580.3810.81015.2
205181807137801049600602.0805.31006.9
236032318026961103402620.5875.91072.4
256684509150751244350660.6905.41008.0
2871905710132971303392678.6903.31139.3
3070798010318801404500705.1987.71068.7
3384414311894081508782766.71043.01215.7
3584677012641951710050795.61052.41248.9
3898848913010291809572800.81145.11251.6
40103482014620201981000872.11189.31338.6
43110209515381602105762920.81209.41397.1
45114213016753552277350914.51308.51437.9
481294961178080124073521006.71336.01472.1
501308700190420025991001042.81440.11546.8