2009
DOI: 10.1016/j.rcim.2009.04.014
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A Unified Manufacturing Resource Model for representing CNC machining systems

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Cited by 86 publications
(47 citation statements)
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“…Each resource has a distinct purpose and thus provides specific capabilities that are utilised in manufacturing decision-making. A variety of international standards have evolved in order to utilise and exchange the information regarding manufacturing resources and their capabilities in a digital environment [52]. For example, ISO 13584 [53] with the acronym PLIB is a series of standards for the computerbased representation and exchange of part library data.…”
Section: Standards For Representing Manufacturing Resourcesmentioning
confidence: 99%
“…Each resource has a distinct purpose and thus provides specific capabilities that are utilised in manufacturing decision-making. A variety of international standards have evolved in order to utilise and exchange the information regarding manufacturing resources and their capabilities in a digital environment [52]. For example, ISO 13584 [53] with the acronym PLIB is a series of standards for the computerbased representation and exchange of part library data.…”
Section: Standards For Representing Manufacturing Resourcesmentioning
confidence: 99%
“…Process involves lot of information and knowledge, such as geometry information of work piece [14], NC system and programming language, the types of machining tool, cutting parameters and optimization methods, etc. These knowledge acts as a core supporting role in cloud manufacturing system.…”
Section: The Process Knowledge Basementioning
confidence: 99%
“…However, the standards only focused on products while overlooked the manufacturing equipment. Vichare et al [3] proposed a unified manufacturing resource model(UMRM), which is based on modeling kinematic chains of machines and is more concentrated on geometric aspects of the system. Compared with an assembly system composed of multiple individual devices, UMRM is not adequate to describe the capability of the system.…”
Section: Manufacturing Resources Modelingmentioning
confidence: 99%