Nding to distinctive r values, while the number of automobiles in each distribution plan is equal, the distribution car paths might be considerably different. When r = 0.9, the delivery route of the first car or truck is the longest amongst each of the distribution plans, and the number of prospects to become delivered reaches 26. The delivery route from the third car or truck is the shortest amongst all of the distribution plans, with only nine prospects. The cause for this substantial difference is the fact that every customer includes a various Icosabutate Epigenetic Reader Domain optimal service time window. As a way to reduce the penalty cost with the time window, cars want to attempt to attain the consumer inside the optimal service time. (4) In the departure and BSJ-01-175 supplier return time, it can be seen that the vehicle departure time from the distribution center will not be limited to 0. Nevertheless, the top departure time point is selected in accordance with the client time window and time-varying road network circumstances. The automobile return time also meets the time window requirements of the distribution center. Depending on the above evaluation, it might be seen that enterprisesAppl. Sci. 2021, 11,19 ofshould take into consideration the sensitivity of distinct sorts of fresh goods to time, the most effective service time of prospects, and time-varying road network conditions for scientific and affordable arrangement when distributing fresh items to understand the lowest total cost.Table 5. The influence of distinct regulatory factors around the distribution plan. r 0.1 VR DT RT0-45-47-36-11-19-16-44-38-40-9-20-10-32-35-34-3-12-5-48-7-0 0 937.35 0-15-42-14-37-31-30-1-6-18-8-46-17-49-21-4-25-24-26-0 141.55 971.23 0-27-28-50-33-29-39-23-22-41-43-2-13-0 89 730.35 0-42-14-45-5-6-18-8-46-49-10-32-20-9-35-24-25-4-43-0 0 937.16 0-33-29-39-23-15-38-44-16-17-37-13-2-21-26-12-3-34-50-1-0 9.16 990.13 0.two 0-28-27-7-48-47-36-19-11-30-31-40-22-41-0 95.03 464.66 0-5-45-48-47-36-19-11-7-18-8-46-49-10-32-20-35-34-24-12-17-31-0 0 952.44 0-37-42-14-44-16-38-15-41-22-40-6-13-4-25-43-2-0 0 936.57 0.3 0-33-50-27-28-26-21-23-39-29-3-30-9-1-0 9.16 456.48 0-28-27-45-36-47-48-19-11-30-31-7-18-6-40-50-9-20-32-35-34-3-24-12-17-5-0 95.03 941.92 0-33-29-39-23-22-41-43-4-25-21-13-2-26-0 9.16 937.57 0.four 0-37-42-15-14-38-44-16-8-46-49-10-1-0 0 648.39 0-31-7-47-36-19-11-30-9-35-34-20-32-48-17-5-37-13-0 0 943.74 0-45-27-28-50-33-29-39-23-41-22-40-2-43-21-4-25-24-3-12-26-0 0 932.79 0.5 0-14-42-15-38-44-16-6-18-8-46-49-10-1-0 0 638.53 0-27-28-50-33-29-39-23-41-22-40-21-4-25-24-12-26-2-0 89 943.97 0-45-36-47-48-7-31-30-11-19-49-46-10-32-20-9-35-34-3-17-1-0 0 940.84 0.6 0-42-15-14-38-44-16-5-8-18-6-37-43-13-0 0 728.44 0-5-45-48-47-36-19-11-31-30-9-20-10-32-35-34-3-26-24-21-12-0 0 939.08 Appl. Sci. 2021, 11, x FOR PEER Evaluation 21 of 25 0-15-42-14-38-44-16-6-18-8-7-49-46-17-37-43-13-4-25-2-0 141.55 948.67 0.7 0-1-27-28-50-33-29-39-23-41-22-40-0 0 458.85 0-27-28-42-15-14-38-44-16-5-6-18-8-46-49-10-32-20-1-50-26-2-13-37-17-0 89 923.48 0-23-39-29-33-12-40-21-22-41-43-4-25-24-34-3-0 166.79 940.08 0.8 look at the sensitivity of various sorts of fresh items to time, the most effective service time 0-45-48-47-36-11-19-7-31-30-9-35-0 0 755.60 of clients, and time-varying road network circumstances for scientific and reasonable 0-28-3-33-29-39-23-40-6-18-8-46-49-7-31-10-32-20-35-13-5-17-37-2-21-26-12-0 95.03 999.46 arrangement when distributing fresh goods to recognize the lowest total expense. 942.22 0-27-42-14-16-38-44-15-41-22-43-4-25-24-34-1-0 89 0.9 0-45-36-47-48-19-11-30-9-50-0 0 459.Figure 8. Adjustment aspect and c.