Cloud manufacturing service optimization method

An optimization method and technology of manufacturing services, applied in the direction of manufacturing computing systems, artificial life, instruments, etc.

Active Publication Date: 2018-10-19
ZHEJIANG UNIV OF FINANCE & ECONOMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the original service combination scheme cannot meet the current needs of users, the cloud manufacturing platform needs to reselect and combine services from the cloud service resource pool, which is becoming an urgent problem to be solved in cloud manufacturing service optimization

Method used

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Embodiment 2

[0047] Embodiment 2 When generating the initial population, a preset reorganization method is used to generate the individuals of the initial population, and the reorganization method adopted includes a reorganization method based on vertical cooperation or a reorganization method based on speed selection.

[0048] Reorganization method based on vertical collaboration (VCR):

[0049] Such as figure 2 As shown, in the VCR reorganization mode, different from the traditional one-to-one mapping mode, this embodiment extends the mapping mode to a one-to-many mode, that is, one subtask can be completed by multiple candidate services, and services are aggregated through vertical cooperation To save task execution time.

[0050] exist figure 2 , assuming that the unfinished subtasks include subtask 1, subtask 2, subtask i...subtask n; the candidate service set corresponding to subtask i includes CMS i1 ,...,CMS ij ,..., Where j is the serial number of the candidate service, j=...

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Abstract

The invention discloses a cloud manufacturing service optimization method. The method includes the following steps: first, according to a structure of a manufacturing task, optional manufacturing services and manufacturing service combinations, randomly generating an initial population as a current population for subsequent iteration, and representing each manufacturing service combination schemein the current population with a two-dimensional code; then executing transfer operator operation and mutation operator operation on the current population and applying variable neighborhood search tothe current population to perform transformation; and then judging whether an end condition is satisfied, if the condition is satisfied, stopping the iteration, and outputting the optimal manufacturing service composition scheme, otherwise returning to continue the iteration. The method provided by the invention has superior performance in solving the service combination problem.

Description

technical field [0001] The invention belongs to the technical field of manufacturing service optimization, and in particular relates to a cloud manufacturing service optimization method. Background technique [0002] As the competition in the manufacturing industry continues to intensify, in order to reduce production costs, improve production efficiency, and enhance product competitiveness, more and more manufacturers enhance collaboration among enterprises by packaging manufacturing resources and capabilities into manufacturing services. In the traditional manufacturing model, the cooperative relationship between suppliers is often fixed for a long time, which makes it difficult and inefficient for suppliers to deal with dynamic changes when providing interactive services. Different from the traditional manufacturing model, cloud manufacturing is a new manufacturing system. Various resources and functions are virtualized and packaged into corresponding manufacturing servic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/04G06N3/00
CPCG06N3/006G06Q10/04G06Q50/04Y02P90/30
Inventor 张帅张文宇王衍
Owner ZHEJIANG UNIV OF FINANCE & ECONOMICS
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