Multi-dimension Density-Based Clustering Supporting Cloud Manufacturing Service Decomposition Model

Autor:	Jorick Lartigau, Lanshun Nie, Xiaofei Xu, Dechen Zhan
Rok vydání:	2014
Předmět:	DBSCAN Service (systems architecture) Database Operating model business.industry Computer science Cloud computing Context (language use) computer.software_genre Industrial engineering Resource (project management) Cloud manufacturing business Cluster analysis computer
Zdroj:	Enterprise Interoperability VI ISBN: 9783319049472 I-ESA
DOI:	10.1007/978-3-319-04948-9_29
Popis:	Recent years, the research on Cloud Manufacturing (CMfg) has developed extensively, especially concerning its concept and architecture. Now we propose to consider the core of CMfg within its operating model. CMfg is a service platform for the whole manufacturing lifecycle with its countless resource diversity, where organization and categorization appear to be the main drivers to build a sustainable foundation for resource service transaction. Indeed, manufacturing resources cover a huge panel of capabilities and capacities, which necessarily needs to be regrouped and categorized to enable an efficient processing among the various applications. For a given manufacturing operation e.g. welding, drilling within its functional parameters, the number of potential resources can reach unrealistic number if to consider them singular. In this paper, we propose a modified version of DBSCAN (Density-based algorithm handling noise) to support Cloud service decomposition model. Beforehand, we discuss the context of CMfg and existing Clustering methods. Then, we present our contribution for manufacturing resources clustering in a CMfg.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3d8910ffdcf61a126a6f38801a8647d4 https://doi.org/10.1007/978-3-319-04948-9_29 Zobrazit plný text záznamu