Emergency order delivery scheduling optimization method

An optimization method and order technology, applied in forecasting, resources, logistics, etc., can solve the problems of high distribution cost and time-consuming, and achieve the effect of reducing the total distribution cost and improving the timeliness.

Active Publication Date: 2021-06-25
广州华商学院
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Problems solved by technology

[0005] From the above research, it can be seen that in the distribution of conventional orders, most of them take the minimum cost as the objective function, and solve the model by improving the algorithm, but the solution process of the algorithm It takes a long time. In emergency orders, more vehicles are used to use the remaining vehicle resources in the distribution center or the vehicles that have completed the delivery task are returned to the distribution center to carry out the delivery of urgent orders in the form of special delivery, resulting in high delivery costs

Method used

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  • Emergency order delivery scheduling optimization method
  • Emergency order delivery scheduling optimization method
  • Emergency order delivery scheduling optimization method

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Experimental program
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Effect test

Embodiment 1

[0188] Embodiment 1: S4. Example verification

[0189] Taking the order delivery task of a branch of K company in the morning as the case data, the model and algorithm are verified, and the delivery order data is shown in Table 1:

[0190] Table 1: Order Data

[0191]

[0192]

[0193] The parameters in the model are set as follows: Q=15; v=15km / h=0.25km / min; W 1 =15,c 3 =0.5;c 1 =0.1,c 2 =0.15;

[0194] Distance between orders s ij The calculation formula is:

[0195]

[0196] Among them: (lat i , lng i ) and (lat j , lng j ) corresponds to the longitude and latitude coordinates of points i and j respectively, and R represents the radius of the earth to be 6371KM;

[0197] Using the SI heuristic algorithm to solve the regular order model results are shown in Table 2:

[0198] Table 2: Solving results of regular order model

[0199]

[0200]The distribution center accepted an urgent order at 8:38, and needs to arrange delivery for the order as soon as ...

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Abstract

The invention discloses an emergency order delivery scheduling optimization method. The method comprises the following steps: 1, establishing a conventional order delivery model taking the minimum delivery total cost as a target function; 2, on the basis of the conventional order delivery model established in the step 1, building an emergency order delivery model with the minimum insertion cost based on a time axis strategy; 3, designing an SI heuristic algorithm and dynamic insertion algorithm solving model, and applying the SI heuristic algorithm and dynamic insertion algorithm solving model to the emergency order delivery model obtained in the step 2 to perform delivery scheduling optimization of emergency orders. By performing instance verification on the two-stage model and the algorithm, the result shows that the two-stage model has the characteristics of feasibility in processing emergency orders, high timeliness in order delivery and quick response.

Description

technical field [0001] The invention relates to the technical field of vehicle intelligent optimization scheduling, in particular to an emergency order delivery scheduling optimization method. Background technique [0002] With the rapid development of social economy, the demand for logistics has increased sharply, which has effectively promoted the rapid and efficient development of the logistics industry; the logistics industry is a composite service-oriented industry integrating transportation, warehousing, information technology and other related industries. An important part of the national economy, it has the function of improving the economic structure, enhancing the quality of the national economy and the ability to resist risks; with the rise of e-commerce and the improvement of the degree of individualization of consumer demand, the requirements for the timeliness of logistics distribution have also been significantly improved; In logistics distribution, the planni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08G06Q30/06
CPCG06Q10/08355G06Q10/06312G06Q10/047G06Q30/0633Y02T10/40
Inventor 谢友财苏海龙陈岫
Owner 广州华商学院
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