A method for service scheduling of cloud manufacturing resource
A technology of resource service and scheduling method, which is applied in the field of cloud manufacturing resource service scheduling, can solve the problems of resource shortage and low utilization rate of manufacturing resources in small enterprises, and achieve the effect of good iteration convergence, fast stability, and improved utilization rate
Inactive Publication Date: 2019-01-04
HOHAI UNIV CHANGZHOU
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Problems solved by technology
[0002] At present, limited by factors such as manufacturing, commercial transactions, and science and technology, manufacturing resources are facing the problem of low utilization. In some high-precision enterprises and research institutes, there are "high, precise, and sharp" resources idle, while For some small enterprises, there is a shortage of resources
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Embodiment 1
[0056] Taking mold manufacturing as an example, an enterprise needs to produce a mold, and its manufacturing process can be decomposed. Part of the decomposition structure is as follows: image 3 shown. Part of the mold manufacturing tasks and the corresponding manufacturing resource information are shown in Table 1. Assuming that there are distances between different enterprises, so as long as the task element is processed between different enterprises, logistics time and logistics costs will be generated. The logistics time and logistics costs between various enterprises As shown in Table 2, the value on the diagonal of the table represents the logistics time between the two enterprises in days, and the value below the diagonal represents the logistics cost between the two enterprises in thousands of yuan. The processing time (unit: day), processing cost (unit: thousand yuan), service quality (%) and reliability (%) of each manufacturing resource are counted as shown in Tabl...
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The invention discloses a cloud manufacturing resource service scheduling method, comprising the following steps: encoding and decoding, initial population generation, calculating fitness, parent selection, population crossover, population variation and elite retention; if the result reaches the desired ideal state or the original set number of iterations, the optimal solution being outputted andthe optimal service scheduling scheme being obtained. The invention provides a cloud manufacturing resource service scheduling method, which overcomes the shortcomings of general genetic algorithm andtraditional particle swarm optimization algorithm in local search, efficient search, in addition, evolutionary algebra has little effect on the optimal solution of genetic particle swarm fusion, Iterative convergence is good, the algorithm is applied to the cloud manufacturing resource service scheduling, can quickly and accurately find the service deployment scheme, will provide a reference forusers to search for resources, so that the resources in the cloud manufacturing platform can quickly respond to market demand, so as to improve the utilization of resources, and bring considerable profits for enterprises.
Description
technical field [0001] The invention relates to a cloud manufacturing resource service scheduling method, which belongs to the technical field of industrial software operation. Background technique [0002] At present, limited by factors such as manufacturing, commercial transactions, and science and technology, manufacturing resources are facing the problem of low utilization. In some high-precision enterprises and research institutes, there are "high, precise, and sharp" resources idle, while For some small enterprises, there is a shortage of resources. [0003] According to a questionnaire survey, the resource utilization rate of my country's manufacturing industry is only 70% to 75%. In the manufacturing sector of some basic raw materials, the resource idle rate has reached 50%. Therefore, my country's manufacturing resources urgently need to be integrated and shared. Manufacturing resources is one of the effective ways to improve resource utilization. Contents of the ...
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Login to View More IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04G06N3/12
CPCG06N3/126G06Q10/04G06Q10/0631G06Q50/04Y02P90/30
Inventor 苑明海周灼孙超俞红焱
Owner HOHAI UNIV CHANGZHOU