Service-oriented communication architecture for automated manufacturing system integration

Wu, Bin; Xi, Lifeng; Zhou, Bing Hai

doi:10.1080/09511920701370746

Cited by 15 publications

(7 citation statements)

References 12 publications

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“…Web services and SOA communication facilitates the control and monitoring of manufacturing systems (Phaithoonbuathong et al 2010) and the integration of manufacturing systems (Wu, Xi, and Zhou 2008).…”

Section: Mms Interoperabilitymentioning

confidence: 99%

Energy consumption awareness in manufacturing and production systems

Delgado-Gomes

Oliveira-Lima

Martins

2016

International Journal of Computer Integrated Manufacturing

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Industry is a major energy consumer and therefore, manufacturers are continuously trying to reduce manufacturing costs. The improvement of energy usage in manufacturing has been receiving large attention during the last years due to the increasing energy cost and environmental awareness. However, it is still difficult to identify the most energy demanding manufacturing phases in the whole manufacturing process, and which ones can and should be energetically improved. This paper proposes a standard-based infrastructure to collect and monitor energy data in real time for manufacturing and production systems, along with a manufacturing energy management system (MEMS). The collected data improves energy consumption awareness and allows the MEMS to make further analysis and to identify where to take actions in the manufacturing process in order to reduce the energy consumption. The developed MEMS enables energy consumption monitoring with different granularities, depending on where the monitoring devices are placed, that is, per machine, per product process, or for the factory as a whole. The developed MEMS also includes the control of energy related devices to support energy-based decisions and enables the interoperability with a generic manufacturing management system simulation software that works with real monitored energy data in order to test and validate modifications made to the manufacturing process.

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Section: Mms Interoperabilitymentioning

confidence: 99%

Energy consumption awareness in manufacturing and production systems

Delgado-Gomes

Oliveira-Lima

Martins

2016

International Journal of Computer Integrated Manufacturing

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“…For example, the semantic manufacturing capability profile which contains the Web ontology language (OWL)-based service descriptions is introduced to enhance the Web service description for manufacturing services and then the description logic-based reasoner for semantic matching is employed to help the manufacturing service discovery (Jang et al 2008). Combining the manufacturing message specification (MMS) and SOA, the manufacturing communication model is shown to support common industrial messaging communication (Wu, Xi, and Zhou 2008).…”

Section: Related Workmentioning

confidence: 99%

“…Considering the advantage of the service-oriented architecture (SOA) for collaboration, manufacturing enterprises and organisations are trying to publish their manufacturing capability as modern manufacturing services over the Internet (Jang et al 2008). These manufacturing servicesincluding manufacturing message specification services for the communication between different manufacturing enterprises (Wu, Xi, and Zhou 2008), production system controlling and monitoring services to support reconfiguration of the manufacturing lifecycles and the intelligent functionalities, and machining simulation services for the crossplatform and high-level numerical control simulation (Karnouskos et al 2010;Phaithoonbuathong et al 2010) have been introduced for the collaboration among suppliers and customers over the Internet (Cai, Zhang, and Zhang 2011). Hence manufacturing enterprises can focus on their own core functionality and collaborate with each other to gain more agile, flexible and efficient manufacturing operations (Zupančič, Sluga, and Butala 2012) without impacting their core compatibility (Badr, Peng, and Biennier 2012).…”

Section: Introductionmentioning

confidence: 99%

Domain-aware reputable service recommendation in heterogeneous manufacturing service ecosystem

Fan

Huang

Tan

et al. 2014

International Journal of Computer Integrated Manufacturing

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Networked manufacturing becomes an important manufacturing method for modern manufacturing enterprises. With the wide adoption of service-oriented architecture and cloud manufacturing, manufacturing enterprises and organisations publish their manufacturing capability, such as resources, processes and knowledge as manufacturing services. A rapidly growing manufacturing service ecosystem can be observed nowadays, which brings the information overload problem for the service selection. Thus, how to organise these services and how to recommend the reputable services become two important issues for the manufacturing service retrieval and reuse. In this paper, the service cluster method WSTPCluster, which develops the topic model based on Latent Dirichlet Allocation, is employed to cluster services into specific domains. As the service ecosystem can be modelled as a heterogeneous service network, a unified reputation propagation method URPM is proposed to calculate the reputation of services and to distinguish the reputable services in each domain. Combining WSTPCluster and URPM, domain-aware reputable service recommendation method is introduced to recommend the high reputable services in each domain for the consumers. Experiments show that this method brings a better performance both in the recommendation accuracy and in the long tail recommendation.

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“…Currently, manufacturing systems are being restructured mainly in relation to production strategies that include changes in how the products are designed, developed, produced and distributed [1]. In this scenario, new manufacturing strategies need to be considered in establishing a competitive production system in global market, taking into account aspects such as costs, quality, delivery times and flexibility, among other [2].…”

Section: Introductionmentioning

confidence: 99%

Modeling the supervision of manufacturing system considering diagnosis and treatment of fault

Melo

Roy²,

Junqueira³

et al. 2010

IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society

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Currently, manufacturing system is being restructured to face the global competitiveness. As result, new manufacturing strategies need to be considered, taking into account aspects such as costs, quality, delivery times and flexibility, among other. However, in practice, none of these strategies can be effectively implemented if they disconsider the occurrence of faults in the manufacturing system. In this sense, this paper introduces a procedure for supervision of manufacturing systems including diagnosis and treatment of faults, i.e., a supervision strategy that considers not only the normal behavior of systems components, but also abnormal (faulty) conditions of them. The present approach uses Bayesian networks for the diagnosis and decision-making purposes, and interpreted Petri net for the manufacturing process synthesis, modeling and control purposes. The integration of these techniques guarantees the specified functionality of the system. Special emphasis laid on methodological issues and industrial systems, where a hierarchical structure can be adopted. A flexible assembly system is presented as an application example.

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Service-oriented communication architecture for automated manufacturing system integration

Cited by 15 publications

References 12 publications

Energy consumption awareness in manufacturing and production systems

Energy consumption awareness in manufacturing and production systems

Domain-aware reputable service recommendation in heterogeneous manufacturing service ecosystem

Modeling the supervision of manufacturing system considering diagnosis and treatment of fault

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