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2015 | OriginalPaper | Chapter

A Unified Sustainable Manufacturing Capability Model for Representing Industrial Robot Systems in Cloud Manufacturing

Authors : Xingxing Wu, Xuemei Jiang, Wenjun Xu, Qingsong Ai, Quan Liu

Published in: Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth

Publisher: Springer International Publishing

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Abstract

Nowadays, the sustainable manufacturing capability of manufacturing devices has attracted more and more attention from academia and industry, in order to coordinate the conflicts between serious environmental impacts and economic benefits. As one kind of advanced manufacturing devices with intelligence, the industrial robot (IR) is an important driving force to make the production activities more efficient, safe and sustainable. A unified sustainable manufacturing capability model for representing IR systems in cloud manufacturing based on ontology was proposed in this paper, so as to solve the description problems in terms of the various capabilities of IR systems, and also to facilitate the factories to effectively manage the IR systems’ manufacturing activities during the whole production life-cycle. The case study and its implementation show the developed ontology model is suitable for all types of IR systems, and can comprehensively reflects their sustainable manufacturing capabilities in real-time.

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previous chapter Resource Utilization in Cloud Manufacturing – An Energy Perspective
next chapter Dynamic Assessment of Sustainable Manufacturing Capability for CNC Machining Systems in Cloud Manufacturing
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Metadata
Title
A Unified Sustainable Manufacturing Capability Model for Representing Industrial Robot Systems in Cloud Manufacturing
Authors
Xingxing Wu
Xuemei Jiang
Wenjun Xu
Qingsong Ai
Quan Liu
Copyright Year
2015
Book
Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth

Print ISBN: 978-3-319-22758-0

Electronic ISBN: 978-3-319-22759-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-22759-7_45

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