Manufacturing Resource Modeling for Cloud Manufacturing

Yuan, MH; Deng, K; Chaovalitwongse, WA

Chaovalitwongse, WA (reprint author), Univ Arkansas, Dept Ind Engn, Fayetteville, AR 72701 USA.; Chaovalitwongse, WA (reprint author), Univ Arkansas, Inst Adv Data Analyt, Fayetteville, AR 72701 USA.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2017; 32 (4):

Abstract

As a new advanced service-oriented networked manufacturing mode, cloud manufacturing (CMfg) is currently one of the main directions of development in the manufacturing industry. In this study, a resource modeling method oriented to CMfg is proposed to solve manufacturing resource data consistency problems, which are often caused by heterogeneity, diversity, and complexity of manufacturing resource. Motivated by the manufacturing resource modeling literature, we construct a classification model of manufacturing resource using a line indexing method and a manufacturing resource information model for CMfg from the perspective of resource information. The concept hierarchy structure and ontology logical reasoning technology are employed to create this semantic modeling. Based on Ontology Web Language, we propose a new manufacturing resource ontology model that encompasses a resource multilayer model and includes a physical, virtual, and cloud resource data layers, as well as a cloud end layer. We propose a searching and matching mechanism based on semantic similarity degree to locate the manufacturing resource and achieve accurate matching of resource service messages. Such mechanism is an efficient procedure for the manufacturing resource service in the CMfg platform. We present a case study of the proposed framework and model to illustrate validity and practicability of the proposed model. (C) 2016 Wiley Periodicals, Inc.

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