Multi-target integrated scheduling method for multi-place transportation in cloud manufacturing environment

A scheduling method and cloud manufacturing technology, applied in the direction of instruments, data processing applications, resources, etc., to achieve the effect of increasing diversity

Inactive Publication Date: 2017-11-14
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the multi-objective scheduling problem of manufacturing resources in the cloud manufacturing environment

Method used

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  • Multi-target integrated scheduling method for multi-place transportation in cloud manufacturing environment
  • Multi-target integrated scheduling method for multi-place transportation in cloud manufacturing environment
  • Multi-target integrated scheduling method for multi-place transportation in cloud manufacturing environment

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Embodiment 1

[0028] A multi-location and multi-objective comprehensive scheduling method in a cloud manufacturing environment has been widely used in practical applications. attached figure 1 It is an example of the application of the method of the present invention to a hydroelectric generator. Each component of a large generator is jointly manufactured by multiple enterprises, and finally assembled and processed by the headquarters. In the process of processing, it needs to be transported between different enterprises through logistics. The transportation factor brings greater difficulty to the manufacture of the entire scheduling plan, and the invention can ensure that the user provides the optimal scheduling plan under the specified time, cost and quality conditions.

Embodiment 2

[0030] A multi-location and multi-objective comprehensive scheduling method in a cloud manufacturing environment. Its application scenario is: the manufacturing resources of multiple enterprises in the cloud manufacturing platform can provide corresponding processing services. The system will evaluate the service quality of manufacturing resources according to the on-time delivery rate, service reliability and other indicators of different manufacturing resources. Each manufacturing resource will also be evaluated by the user after use. Users can set according to their own requirements for time, cost, service quality and satisfaction, and the scheduling system needs to help operators arrange scheduling plans according to users' personalized goals. The decentralization of manufacturing resources makes the workpiece need to be transported multiple times to complete the overall processing, and the different manufacturing resources selected for each task lead to different transport...

Embodiment 3

[0032] A multi-location and multi-objective comprehensive scheduling method in a cloud manufacturing environment, which is characterized in that: firstly, a two-layer coding method based on procedures and resources is adopted, the first layer of coding represents the process, and the second layer of coding is used to represent each process The resources used; the individual population is generated randomly; the first step in the evolution is to randomly select an element in the first layer of the individual, and exchange the positions of the adjacent elements, and the corresponding processing resources will also exchange positions. Two positions are randomly selected in the second-level individuals, and two are randomly selected in the optional resource set for changing positions to replace; the second step randomly divides the process into two sets and generates a new individual, which is contained in the individual The processes and resources in the first set and the processe...

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Abstract

Provided is a multi-target integrated scheduling method for multi-place transportation in a cloud manufacturing environment. Most of the current cloud manufacturing resource scheduling methods often consider only one optimization objective and ignore the impact of transportation factors on scheduling plans. The method of the invention takes service time, service cost, quality of service and satisfaction evaluation as an objective function, and fully considers cross-region manufacturing resource transfer factors. The method mainly includes the steps as follows: carrying out initialization through a process and resource-based double-layer encoding mode; adding a dynamic learning factor to guide the population search range and accuracy; and updating a global optimal solution set through non-dominated sorting, and introducing a dynamic selection factor to improve the distribution uniformity of a non-dominated solution set. Through the method, a detailed processing plan for a processing task can be obtained. The method is used to solve the multi-target scheduling plan problem in a cloud manufacturing environment. The utilization efficiency of resources is improved, and the processing cost of users is reduced.

Description

technical field [0001] The invention relates to a multi-location and multi-target comprehensive scheduling method in a cloud manufacturing environment. Background technique [0002] Aiming at the multi-process processing problem of cross-regional transportation of complex products in the cloud manufacturing environment, starting from the goal of obtaining better scheduling results, a solution is proposed: use a double-layer coding method based on processes and resources for initialization. And adding a dynamic adjustment factor improves the speed, stability and uniform distribution of the solution set. Through this method, a detailed processing plan of a processing task can be obtained. At present, it is found that most of the cloud manufacturing resource scheduling solutions for specific scheduling problems only consider a single optimization objective and ignore the influence of transportation factors on tasks. Most algorithms can only solve one optimal solution for each...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/08
CPCG06Q10/083G06Q10/0631
Inventor 石岩磊张宏国张人敬
Owner HARBIN UNIV OF SCI & TECH
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