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Scheduling methodology for production services in cloud manufacturing

  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Cloud Manufacturing (CMfg) is the delivery of resources control and abilities for manufacturing through the internet. It offers a personalized manufacturing service through several processes (e.g. the order decomposition into tasks, the selection of one or several providers to perform them, the scheduling of the whole manufacturing process). The current paper aims to provide an optimized methodology for task scheduling. In a first time, it identifies the background and general concept of CMfg, focuses further on the scheduling challenges and the environmental data and constraints to propose an optimized methodology for the scheduling process.

Original languageEnglish
Title of host publicationProceedings - 2012 International Joint Conference on Service Sciences, Service Innovation in Emerging Economy
Subtitle of host publicationCross-Disciplinary and Cross-Cultural Perspective, IJCSS 2012
Pages34-39
Number of pages6
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 International Joint Conference on Service Sciences, Service Innovation in Emerging Economy: Cross-Disciplinary and Cross-Cultural Perspective, IJCSS 2012 - Shanghai, China
Duration: 24 May 201226 May 2012

Publication series

NameProceedings - 2012 International Joint Conference on Service Sciences, Service Innovation in Emerging Economy: Cross-Disciplinary and Cross-Cultural Perspective, IJCSS 2012

Conference

Conference2012 International Joint Conference on Service Sciences, Service Innovation in Emerging Economy: Cross-Disciplinary and Cross-Cultural Perspective, IJCSS 2012
Country/TerritoryChina
CityShanghai
Period24/05/1226/05/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Cloud Manufacturing
  • Order Decomposition
  • Renewable resources
  • Scheduling

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