Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Mechanical product service optimization method in cloud manufacturing environment

A mechanical product and cloud manufacturing technology, which is applied in the field of mechanical product service optimization, can solve the problems of metaheuristic algorithm with high time complexity and space complexity, difficulty in parameter adjustment, local optimum, etc., so as to improve the competitiveness of enterprises and ensure convergence performance, reducing complexity

Pending Publication Date: 2020-01-31
SHANDONG UNIV OF SCI & TECH
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the time complexity and space complexity of the meta-heuristic algorithm are high, and there are phenomena such as difficulty in parameter adjustment, non-convergence and local optimum

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Mechanical product service optimization method in cloud manufacturing environment
  • Mechanical product service optimization method in cloud manufacturing environment
  • Mechanical product service optimization method in cloud manufacturing environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] A method for optimizing mechanical product services in a cloud manufacturing environment, combined with the accompanying drawings and specific implementation, is described in detail as follows.

[0040] This embodiment is based on the OS X EI Capitan system with 8GB memory, 2.9GHz Intel i5 processor, and the test software is Python 2.7.

[0041] Step 1. Decompose the demands of the demand side into n processes (the first 5 processes are examples in the table), and calculate the processing costs (time costs) and logistics costs for each service party respectively, as shown in Table 1 and Table 2.

[0042] Table 1 Each process task and the corresponding processing cost of the service enterprise

[0043]

[0044]

[0045] Table 2 The corresponding logistics costs of each process task and the service company

[0046]

[0047] Step 2: For ease of programming, customers and businesses are numbered in this article. The customer number from "customer to enterprise R1...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a mechanical product service optimization method in a cloud manufacturing platform. First of all, according to user requirements, a user demand is decomposed into a plurality of subtasks; wherein each subtask corresponds to a plurality of service parties; the service time and the service cost are used as indexes; the k optimal service combination schemes are recommended tothe user by using the k optimal selection algorithm, the calculation complexity is reduced, the problem that the meta-heuristic algorithm is not easy to converge is avoided, and a reliable selection range can be provided for the user more efficiently and accurately, so that the time cost of the user in work is saved, and the enterprise competitiveness is improved.

Description

technical field [0001] The invention relates to an information processing method, in particular to a mechanical product service optimization method in a cloud manufacturing environment. Background technique [0002] Cloud manufacturing is a new manufacturing model proposed by Academician Li Bohu of Beijing University of Aeronautics and Astronautics in my country for the current situation of my country's manufacturing industry. Its core idea is to maximize the utilization of resources and reduce the waste of resources on the service side by integrating the resources of various service parties. Service optimization in cloud manufacturing mode is a hot and difficult issue in the research of cloud manufacturing mode. [0003] At present, the service optimization problem in the cloud manufacturing mode is to find the optimal service combination scheme of a certain index (service time, service cost, etc.) as the research goal, establish a mathematical model, and solve it through a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F30/20G06Q50/04G06F111/10G06F119/18
CPCG06Q50/04Y02P90/30
Inventor 刘梅张超祝星晨王晓钟佩思王岩刘鹏伟
Owner SHANDONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com