DocumentCode :
2451450
Title :
Scheduling Methodology for Production Services in Cloud Manufacturing
Author :
Lartigau, Jorick ; Nie, Lanshun ; Xu, Xiaofei ; Zhan, Dechen ; Mou, Tehani
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
fYear :
2012
fDate :
24-26 May 2012
Firstpage :
34
Lastpage :
39
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.
Keywords :
cloud computing; production engineering computing; scheduling; CMfg; Internet; cloud manufacturing; environmental data; optimized methodology; personalized manufacturing service; production services; resources control; scheduling challenges; scheduling methodology; scheduling process; task scheduling; Cloud computing; Job shop scheduling; Manufacturing; Optimal scheduling; Schedules; Cloud Manufacturing; Order Decomposition; Renewable resources; Scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Sciences (IJCSS), 2012 International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1992-8
Type :
conf
DOI :
10.1109/IJCSS.2012.19
Filename :
6227791
Link To Document :
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