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المصدر: Journal of Intelligent Manufacturing. 27:73-82
مصطلحات موضوعية: Enterprise architecture framework, 0209 industrial biotechnology, Knowledge management, Computer science, Smart objects, business.industry, Interoperability, Enterprise architecture, 02 engineering and technology, Semantic interoperability, computer.software_genre, Industrial and Manufacturing Engineering, 020901 industrial engineering & automation, Enterprise architecture management, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Context awareness, 020201 artificial intelligence & image processing, Web service, business, computer, Software
الوصف: Integration of Web-Services and "smart objects" in supply chain manufacturing systems (SCM) enables enterprise innovation and competitiveness in a globalized economy. The paper proposes a web-service based architecture for SCM that enables enterprises to develop context-awareness and to achieve interoperability at data, services, processes and business levels using event based web service notifications. The architecture is analyzed and implemented following the case study of an enterprise in the automotive industry.
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المؤلفون: Ioan Stefan Sacala, Mihnea Alexandru Moisescu
المصدر: Journal of Intelligent Manufacturing. 27:33-54
مصطلحات موضوعية: Enterprise systems engineering, 0209 industrial biotechnology, Knowledge management, business.industry, Computer science, Enterprise integration, Enterprise architecture, 02 engineering and technology, Enterprise interoperability, Industrial and Manufacturing Engineering, Engineering management, 020901 industrial engineering & automation, Artificial Intelligence, Enterprise life cycle, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Enterprise application integration, Enterprise information system, business, Software, Enterprise software
الوصف: Current research efforts in the area of enterprise systems are focusing on the development and standardization of new technologies to sustain the "Future Internet based Enterprise". In this context, emerging Internet technologies are integrated into enterprise information systems in order to provide sustainable business benefits. These new systems have been included in a broad concept of "Future Internet Based Enterprise Systems". The present paper proposes a sensing based approach to the design of Future Internet Based Enterprise Systems. To sustain the seamless integration and system interoperability a framework to integrate the sensing ability with enterprise information systems is discussed.
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المؤلفون: Zahra Faraji, Setareh Majidian, Hossein Safari
المصدر: Journal of Intelligent Manufacturing. 27:475-486
مصطلحات موضوعية: 0209 industrial biotechnology, Engineering, business.industry, Compromise, media_common.quotation_subject, Rank (computer programming), Enterprise architecture, 02 engineering and technology, Fuzzy logic, Industrial and Manufacturing Engineering, Reliability engineering, 020901 industrial engineering & automation, Risk analysis (engineering), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Failure mode and effects analysis, Software, Multiple attribute, media_common
الوصف: Enterprise architecture (EA) is an approach for managing all components of enterprise and relationships among them. By implementing EA, the organization will be threatened from different aspects. We used failure mode and effect analysis (FMEA) which is a powerful tool for evaluating EA risks. In traditional FMEA, risk priority number (RPN), has been calculated by multiplication of three criteria, severity, occurrence and detection. Because of some drawbacks of the traditional FMEA, this paper--instead of calculating RPN--prioritizes EA risk factors with fuzzy VIKOR. VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, means Multi-criteria Optimization and Compromise Solution) is a multiple attribute decision making technique which aims to rank EA risk factors with respect to the criteria. As regards using linguistic variables, fuzzy approach is used to allow experts to use linguistic variables. The proposed method is used for evaluating twenty EA risk factors, which integrates knowledge and experience acquired from professional experts.
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المؤلفون: Theodor Borangiu, André Thomas, Damien Trentesaux
المساهمون: Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), University of Bucharest (UniBuc), Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)
المصدر: Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing, Springer Verlag (Germany), 2017, 28 (7), pp.1501-1502. ⟨10.1007/s10845-015-1188-4⟩مصطلحات موضوعية: 0209 industrial biotechnology, Engineering, Process management, computer.internet_protocol, Enterprise integration, Enterprise architecture, Cloud computing, 02 engineering and technology, Industrial and Manufacturing Engineering, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 020901 industrial engineering & automation, Computer-integrated manufacturing, Artificial Intelligence, 0502 economics and business, Enterprise systems engineering, 9. Industry and infrastructure, business.industry, 05 social sciences, Multi Agents Systems, Service-oriented architecture, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Process development execution system, Systems engineering, Holonic Manufacturing Systems, business, computer, 050203 business & management, Software, Manufacturing execution system
الوصف: Editorial of Special Issue; International audience; This special feature aims at shedding light on new emerging holonic and multi-agent systems operating in a service-and computing oriented manufacturing environment, using the latest ICT technologies such as service-orientation, mobile agents, Web-and Cloud services, virtualization, big data and analytics to name a few. Industrials are seeking for models and solutions that are not only able to provide efficient overall production performance, but also to face reactively a growing set of unpredicted events. The demand for large scale industrial systems running in complex and even chaotic environments requires the consideration of new paradigms and technologies that provide flexibility, robustness, agility and responsiveness. Holonic systems are, actually by definition, targeting challenges that include coping with the heterogeneous nature of manufacturing systems and their on-line interactive nature in combination with competitive pressures. Multi-agent systems is a suitable implementing approach to address these challenge by offering an alternative way to design control systems, based on the decentralization of control functions over distributed autonomous and cooperative entities. Moreover, virtualization of manufacturing execution system workloads offers a set of design and operational advantages to enterprises, the most visible being improved resource utilization and flexibility of the overall solution. At the manufacturing execution system level, cloud computing adoption refers mainly to virtualization of MES workloads. While MES implementations are different and usually depend directly on the actual physical shop floor layout, the general MES functions are aligned with the set of functions defined by ISA-95.03 specification. To achieve high levels of productivity growth and agility to market changes, manufacturers will need to leverage Big Data sets to drive efficiency across the networked enterprise. There is need for a framework allowing the development of manufacturing cyber physical systems that include capabilities for complex event processing and Big Data analytics, which are expected to move the manufacturing domain closer to digital transformation and cloud services within the contextual enterprise. On the other hand, service orientation is emerging at multiple organizational levels in enterprise business, and leverages technology in response to the growing need for greater business integration, flexibility and agility of manufacturing enterprises. Close related to IT infrastructures of Web Services, the Service Oriented Enterprise Architecture represents a technical architecture, a business modelling concept, an integration source and a new way of viewing units of control within the enterprise. Business and process information systems integration and interoperability are feasible by considering the customized product as "active controller" of the enterprise resources – thus providing consistency between material and informational flows. The areas of Service Oriented Computing and Multi-agent Systems are getting closer, both trying to deal with the same kind of environments formed by loose-coupled, flexible, persistent and distributed tasks. An example is the new approach of Service Oriented Multi-agent Systems (SoMAS).
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