494 research outputs found

    The development of factory templates for the integrated virtual factory framework

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    Páginas numeradas: I-XVI, 17-123Tese de mestrado integrado. Engenharia Electrotécnica e de Computadores (Major Automação). Faculdade de Engenharia. Universidade do Porto. 201

    Knowledge-Based Enterprise Framework: A Management Control View

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    Towards a framework for inter-enterprise architecture to boost collaborative networks

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    A complete Inter-Enterprise Architecture should be conformed to a framework, a methodology and a modelling language. In this sense, this paper proposes an initial Framework for Inter-Enterprise Architecture (FIEA), which organizes, stores, classifies and communicates in a conceptual level the elements of the Inter-Enterprise Architecture (IEA) and their relationships, ensuring their consistency and integrity. This FIEA provides a clear picture about the elements and perspectives that make up the collaborative network and their inter-relationships, supported for technology base on the Internet for its inter-operation.This research has been carried out for the project “Sistema de ayuda a la toma de decisiones ante decisiones no programadas en la planificación jerárquica de la producción (ADENPRO-PJP)” Ref. SP20120703 Universitat Politècnica de València.Vargas, A.; Boza García, A.; Cuenca, L.; Ortiz Bas, Á. (2013). Towards a framework for inter-enterprise architecture to boost collaborative networks. En On the Move to Meaningful Internet Systems: OTM 2013 Workshop. Springer Verlag (Germany). 179-188. https://doi.org/10.1007/978-3-642-41033-8_26S179188Cuenca, L., Boza, A., Ortiz, A.: Enterprise Architecture Framework with Early Business/ICT Alignment for Extended Enterprises. In: Ortiz, Á., Franco, R.D., Gasquet, P.G. (eds.) BASYS 2010. IFIP AICT, vol. 322, pp. 11–18. Springer, Heidelberg (2010a)Vargas, A., Boza, A., Cuenca, L., Sacala, I.: Inter-Enterprise Architecture and Internet of the Future. In: Camarinha-Matos, L.M., Tomic, S., Graça, P. (eds.) DoCEIS 2013. IFIP AICT, vol. 394, pp. 25–32. Springer, Heidelberg (2013)Camarinha-Matos, L., Afsarmanesh, H.: Collaborative networks: Reference Modeling. Media, Springer Science + Business (2008)European Commission European Society and Media: Dygital Business Ecosystems. Office for Official Publications of the European Communities, Luxembourg (2007)Future Internet Enterprise Systems (FInES) Cluster: FInES Research Roadmap 2025, http://cordis.europa.eu/Vargas, A., Boza, A., Cuenca, L., Ortiz, A.: The importance of strategic alignment in enterprise collaboration. In: Prado-Prado, J.C. (ed.) Annals of Industrial Engineering 2012, pp. 1–8. Springer, London (2013)Henderson, J., Venkatraman, N.: Strategic alignment: Leveraging information technology for transforming organizations. IBM Systems Journal 32(1), 472–484 (1993)Vargas, A., Boza, A., Cuenca, L.: Lograr la alineación estratégica de negocio y las tecnologías de la información a través de Arquitecturas Empresariales: Revisión de la Literatura. In: XV Congreso de Ingeniería de Organización, Cartagena-España, pp. 1061–1070 (2011a)ISO 15704: Industrial automation systems - Requirements for enterprise-reference architectures and methodologies (2000)Kosanke, K.: CIMOSA Primer on key concepts, purpose and business value. CIMOSA Association, http://cimosa.cnt.pl/Cuenca, L., Boza, A., Ortiz, A.: An enterprise engineering approach for the alignment of business and information technology strategy. International Journal of Computer Integrated Manufacturing 24(11), 974–992 (2011)Vernadat, F.: Enterprise modelling and integration: From fact modelling to Enterprise Interoperability (2003)Vargas, A., Boza, A., Cuenca, L.: Towards Interoperability Through Inter-Enterprise Collaboration Architectures. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM-WS 2011. LNCS, vol. 7046, pp. 102–111. Springer, Heidelberg (2011)Plaza, J., Burgos, J., Carmona, E.: Measuring Stakeholder Integration: Knowledge, Interaction and Adaptational Behavior Dimensions. Journal of Business Ethics 93, 419–442 (2010)Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: A new scientific discipline, pp. 439–452 (2005)Afsarmanesh, H., Msanjila, S.: Inter-organizational trust in VBEs. In: Camarinha-Matos, L.M., Afsarmanesh, H., Ollus, M. (eds.) Methods and Tools for Collaborative Networked Organizations. Springer (2008)Mehandjiev, N., Grefen, P.: Dynamic business process formation for instant virtual enterprises, London (2010)Kosanke, K., Vernadat, F., Zelm, M.: CIMOSA: enterprise engineering and integration. Computers in Industry 40, 83–97 (1999)Chen, D., Vallespir, B., Doumeingts, G.: GRAI integrated methodology and its mapping onto generic enterprise reference architecture and methodology. Computers in Industry 33, 387–394 (1997)IFIP: GERAM: Generalised Enterprise Reference Architecture and Methodology. In: International Federation for Information Processing, http://dl.ifip.org/index.php/index/indexOrtiz, A., Lario, F., Ros, L.: Enterprise Integration—Business Processes Integrated Management: a proposal for a methodology to develop Enterprise Integration Programs. Computers in Industry 40, 155–171 (1999)Cuenca, L., Ortiz, A., Boza, A.: Business and IS/IT strategic alignment framework. In: Camarinha-Matos, L.M., Pereira, P., Ribeiro, L. (eds.) DoCEIS 2010. IFIP AICT, vol. 314, pp. 24–31. Springer, Heidelberg (2010b)THE OPEN GROUP: TOGAF, http://www.opengroup.org/togaf/Vesterager, J., T{\o}lle, M., Bernus, P.: VERA: Virtual Enterprise Reference Architecture. In: GMNBook, GLOBEMEN Final Plenary (2002)Chalmeta, R., Grangel, R.: ARDIN extension for virtual enterprise integration. The Journal of Systems and Software 67 (2003

    An approach to resource modelling in support of the life cycle engineering of enterprise systems

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    Enterprise modelling can facilitate the design, analysis, control and construction of contemporary enterprises which can compete in world-wide Product markets. This research involves a systematic study of enterprise modelling with a particular focus on resource modelling in support of the life cycle engineering of enterprise systems. This led to the specification and design of a framework for resource modelling. This framework was conceived to: classify resource types; identify the different functions that resource modelling can support, with respect to different life phases of enterprise systems; clarify the relationship between resource models and other modelling perspectives provide mechanisms which link resource models and other types of models; identify guidelines for the capture of information - on resources, leading to the establishment of a set of resource reference models. The author also designed and implemented a resource modelling tool which conforms to the principles laid down by the framework. This tool realises important aspects of the resource modeffing concepts so defined. Furthermore, two case studies have been carried out. One models a metal cutting environment, and the other is based on an electronics industry problem area. In this way, the feasibility of concepts embodied in the framework and the design of the resource modelling tool has been tested and evaluated. Following a literature survey and preliminary investigation, the CIMOSA enterprise modelling and integration methodology was adopted and extended within this research. Here the resource modelling tool was built by extending SEWOSA (System Engineering Workbench for Open System Architecture) and utilising the CIMBIOSYS (CINI-Building Integrated Open SYStems) integrating infrastructure. The main contributions of the research are that: a framework for resource modelling has been established; means and mechanisms have been proposed, implemented and tested which link and coordinate different modelling perspectives into an unified enterprise model; the mechanisms and resource models generated by this research support each Pfe phase of systems engineering projects and demonstrate benefits by increasing the degree to which the derivation process among models is automated

    Enhanced integrated modelling approach to reconfiguring manufacturing enterprises

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    Dynamism and uncertainty are real challenges for present day manufacturing enterprises (MEs). Reasons include: an increasing demand for customisation, reduced time to market, shortened product life cycles and globalisation. MEs can reduce competitive pressure by becoming reconfigurable and change-capable. However, modern manufacturing philosophies, including agile and lean, must complement the application of reconfigurable manufacturing paradigms. Choosing and applying the best philosophies and techniques is very difficult as most MEs deploy complex and unique configurations of processes and resource systems, and seek economies of scope and scale in respect of changing and distinctive product flows. It follows that systematic methods of achieving model driven reconfiguration and interoperation of component based manufacturing systems are required to design, engineer and change future MEs. This thesis, titled Enhanced Integrated Modelling Approach to Reconfiguring Manufacturing Enterprises , introduces the development and prototyping a model-driven environment for the design, engineering, optimisation and control of the reconfiguration of MEs with an embedded capability to handle various types of change. The thesis describes a novel systematic approach, namely enhanced integrated modelling approach (EIMA), in which coherent sets of integrated models are created that facilitates the engineering of MEs especially their production planning and control (PPC) systems. The developed environment supports the engineering of common types of strategic, tactical and operational processes found in many MEs. The EIMA is centred on the ISO standardised CIMOSA process modelling approach. Early study led to the development of simulation models during which various CIMOSA shortcomings were observed, especially in its support for aspects of ME dynamism. A need was raised to structure and create semantically enriched models hence forming an enhanced integrated modelling environment. The thesis also presents three industrial case examples: (1) Ford Motor Company; (2) Bradgate Furniture Manufacturing Company; and (3) ACM Bearings Company. In order to understand the system prior to realisation of any PPC strategy, multiple process segments of any target organisation need to be modelled. Coherent multi-perspective case study models are presented that have facilitated process reengineering and associated resource system configuration. Such models have a capability to enable PPC decision making processes in support of the reconfiguration of MEs. During these case studies, capabilities of a number of software tools were exploited such as Arena®, Simul8®, Plant Simulation®, MS Visio®, and MS Excel®. Case study results demonstrated effectiveness of the concepts related to the EIMA. The research has resulted in new contributions to knowledge in terms of new understandings, concepts and methods in following ways: (1) a structured model driven integrated approach to the design, optimisation and control of future reconfiguration of MEs. The EIMA is an enriched and generic process modelling approach with capability to represent both static and dynamic aspects of an ME; and (2) example application cases showing benefits in terms of reduction in lead time, cost and resource load and in terms of improved responsiveness of processes and resource systems with a special focus on PPC; (3) identification and industrial application of a new key performance indicator (KPI) known as P3C the measuring and monitoring of which can aid in enhancing reconfigurability and responsiveness of MEs; and (4) an enriched modelling concept framework (E-MUNE) to capture requirements of static and dynamic aspects of MEs where the conceptual framework has the capability to be extended and modified according to the requirements. The thesis outlines key areas outlining a need for future research into integrated modelling approaches, interoperation and updating mechanisms of partial models in support of the reconfiguration of MEs

    Towards a method to deploy systems engineering processes within companies

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    Systems Engineering (SE) approach is a tried and tested approach that promotes and coordinates all appropriate processes to design, develop and test a system. These SE processes have been defined in many standards which are not always consistent with each other and often provide only generic indications. Therefore, companies seeking to apply the SE approach must answer themselves the following questions: how to tailor these generic processes to their company? What methodology must be applied to deploy SE processes? How to ensure the success of this deployment? The purpose of this paper is to present the two main principles of a SE processes deployment methodological approach currently under development and applied to a helicopter manufacturer. These principles are: 1) The description of the set of activities necessary for the deployment, 2) The main concepts necessary to the approach, gathered and shortly formalised in a global meta-model
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