Research Article

Customer-Oriented Vehicle Routing Problem with Environment Consideration: Two-Phase Optimization Approach and Heuristic Solution

Table 6

The demand information of the covered customers.

Number Demand Distance External similarity Product value Time window Quality of Service

10.5(-10.3, 9.7)high medium8:00, 9:00high
20.2(-4.4,-6.6)low low10:00, 12:00lowest
30.6(-8.5, 6.3)medium high12:00, 12:30 high
40.4(2.7, 9.3)lowmedium10:00, 11:00medium
50.3(-5.3, -4.5) lowesthigh14:00, 14:30low
60.1(-0.6, 5.2)lowlow8:00, 9:30medium
70.5(18.6, -13.2)highhighest11:00, 13:00highest
80.3(-11.9, 3.7)highest medium15:00, 16:30medium
90.1(3.3, 7.8)mediumlow14:00, 15:30high
100.1(-1.8, -11.1)mediummedium13:00, 15:00medium
110.2(8.6, 2.5)lowestlowest14:00, 14:30low
120.3(-6.9, 1.6)mediumhigh14:00, 15:00high
130.4(7.8, -7)mediumhighest9:00, 11:00medium
140.2(16.8, -18.4)lowhigh15:00, 16:00high
150.1(12.7, -1.8)highmedium11:00,11.30highest
160.6(14.3, -21.3)mediummedium8:00, 11:00medium
170.2(8.2, -15.8)lowlowest14:00, 17:00lowest
180.3(11.5, 10.4)highmedium13:00, 14:30high
190.1(1.1, -8.5)highhighest10:00, 15:00high
200.4(20.7, -22.7)mediumlow11:00, 12.30high
210.3(6.4, -0.9)lowmedium8:00, 9:30low
220.2(-7.3, 11.6)highesthigh13:00, 14:30medium
230.4(-12.2, -2.4)mediumlow10:00, 12:00medium
240.5(10.4, 21.7)highhigh12:00, 13:00highest