Information Systems Architecture for Operational Management and Control

Monitoring and control within process industries may be divided into discrete levels in a functional hierarchy. The respective levels have distinct charactersistics that determine the underlying systems architecture. The paper contrasts the functions of on-line monitoring and control with those of off-line operational management. A generic systems architecture is proposed in which these levels of control are supported by separate systems, connected by a standard data interface

Cybersecurity Risk Assessment Framework for Externally Exposed Energy Delivery Systems

Securing the energy delivery system (EDS) from complex, nonlinear, and evolving cyber threats requires a complex set of changing and interwoven classes of technologies, policies, relationships, and personnel. One key area in this technological milieu is assessment methodologies to compare information, gathered by a variety of means, about networked devices with publicly known possible threat information about said devices. This information is used to generate risk-based characterizations that allow for the adjudication and proper corresponding management action chains to be assigned. \color{blue}To address the current cybersecurity needs in the operational technology (OT) domain, we developed a novel relative-risk assessment framework and a software application called MEEDS that can detect exposed OT systems. This paper presents the detailed architecture of relative-risk assessment framework methodology and its integral role in the MEEDS software. The efficacy of the presented framework is demonstrated by testing with the real-world systems and vulnerabilities pertaining to the industrial control systems (ICS) in critical infrastructures

Benchmarking VisualStudio.NET for the development and implementation of a manufacturing execution system

The focus of this thesis is to show the utility of Microsoft\u27s\u27 .NET framework in developing and implementing a MES system. The manufacturing environment today, more than ever, is working towards achieving better yields, productivity, quality, and customer satisfaction. Companies such as DELL are rapidly outgrowing their competition due to better management of their product lifecycles. The time between receiving a new order to the time the final product is shipped is getting shorter. Historically, business management applications such as Enterprise Resource Planning (ERP) systems and Customer Relationship Management (CRM) systems have been implemented without too much importance given to the operational and shop floor needs. The fact is that these business systems can be successful only when they are properly integrated with real-time data from the shop floor, which is the core of any manufacturing set-up. A Manufacturing Execution System or a MES is this link between the shop floor and the top floor. MESA international defines MES as Systems that deliver information enabling the optimization of production activities from order launch to finished goods Thus, a MES provides the right information to the right people at the right time in a right format, to help them make well-informed decisions. Thus, a necessity for an efficient MES is high capability of integration with the existing systems on the operational level. This is where Microsoft\u27s\u27 VS.NET fits in. Microsoft defines .NET as A set of software technologies for connecting information, people, systems and devices . The vision of .NET is to enable the end user to connect to information from any place at anytime, using any device and in a manner that is independent of the platform on which the service is based. The building block of the .NET framework is the Common Language Runtime or CLR, which is capable of converting data from its original format into a format understandable to .NET and then use that format to interface with its client. This feature that .NET provides holds the key in the context of a MES development and implementation. The aim of this applied research is to design a MES using VS.NET to control the working of a Flexible Manufacturing System (FMS) namely CAMCELL. The architecture used for the MES will then be gauged against an MES implementation done previously using a Siemens\u27 PC-based automation technology and Visual FoxPro. This study will integrate the Siemens\u27 technology with the .NET framework to enhance the resulting MES efficiency. The shop floor details or the real-time data collection will be done using the databases from WinCC and data aggregation and manipulation will be done within the .NET framework. The software architecture used for this study will achieve vertical integration between the CAMCELL ERP layer, the MES layer and the Control layer. The study will demonstrate how the data stored in a high level ERP database can be converted into useful information for the control layer for process control and also how real-time information gathered from the control layer can be filtered into useful information up to the ERP layer to facilitate the decision making process. VS.NET user interface screens will be proposed to support these activities. The performance of the proposed architecture will be compared to that from previous studies, thus benchmarking VS.NET for the implementation of the MES

Application of a digital twin for highway tunnels based on multi-sensor and information fusion

Due to the harsh environment of highway tunnels and frequent breakdowns of various detection sensors and surveillance devices, the operational management of highway tunnels lacks effective data support. This paper analyzes the characteristics of operational surveillance data in highway tunnels. It proposes a multimodal information fusion method based on CNN–LSTM–attention and designs and develops a digital twin for highway tunnel operations. The system addresses issues such as insufficient development and coordination of the technical architecture of operation control systems, weak information service capabilities, and insufficient data application capabilities. The system also lacks intelligent decision-making and control capabilities. The developed system achieves closed-loop management of “accurate perception–risk assessment–decision warning–emergency management” for highway tunnel operations based on data-driven approaches. The engineering demonstration application underscores the system’s capacity to enhance tunnel traffic safety, diminish tunnel management costs, and elevate tunnel driving comfort

COGNIBUILD: Cognitive Digital Twin framework for advanced building management and predictive maintenance

According to contemporary challenges of digital evolution in management and maintenance of construction processes, the present study aims at defining valuable strategies for building management optimization. As buildings and infrastructures Digital Twins (DT) are directly connected to physical environment through the Internet of Things (IoT), asset management and control processes can be radically transformed. The proposed DT framework connects Building Information Model (BIM) three-dimensional objects to information about the planned maintenance of components, supplying system’s self-learning capabilities through input data coming from Building Management Systems (BMS), ticketing, as well as maintenance activities data flow both as-needed or unexpected. The concept of real-time acquisition and data processing set the basis for the proposed system architecture, allowing to perform analysis and evaluate alternative scenarios promptly responding to unexpected events with a higher accuracy over time. Moreover, the integration of Artificial Intelligence (AI) allows the development of maintenance predictive capabilities, optimizing decision making processes and implementing strategies based on the performed analysis, configuring a scalable approach useful for different scenarios. The proposed approach is related to the evolution from reactive to proactive strategies based on Cognitive Digital Twins (CDT) for Building and Facility Management, providing actionable solutions through operational, monitoring and maintenance data. Through the integration of BIM data with information systems, BMS, IoT and Machine Learning, the optimization and real-time automation of maintenance activities is performed, radically reducing failures and systems breakdowns. Therefore, integrating different technologies in a virtual environment allows to define data-driven predictive models supporting Building Managers in decision making processes improving efficiency over time and moving from reactive to proactive approaches

Inter-Enterprise architecture and Internet of the future

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-37291-9_3This paper proposes the concept of Inter-Enterprise Architecture (IEA), which seeks the application of tools and methodologies developed in the Enterprise Architecture (EA) field for the individual firm, adapting to an environment of collaboration between several companies that make networks or supply chains, in order to facilitate the integration and interoperability of their collaborative processes in line with its IS/IT (Information Systems/ Information Technology) to harmonize the joint processes, reduce risk and duplication, increase service and customer responsiveness, reduce technology costs and align the joint business to IS/IT.Vargas, A.; Boza García, A.; Cuenca, L.; Sacala, I. (2013). Inter-Enterprise architecture and Internet of the future. En Technological Innovation for the Internet of Things: 4th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2013, Costa de Caparica, Portugal, April 15-17, 2013. Proceedings. Springer. 25-32. doi:10.1007/978-3-642-37291-9_3S2532Information Society and Media European Commission: FInES Cluster Position Paper. Future Internet Enterprise Systems (FInES) Cluster (September 2009)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: Cartagena, XV Congreso de Ingeniería de Organización, pp. 1061–1070 (2011a)Vargas, A., Boza, A., Cuenca, L.: Towards Interoperability through Inter-enterprise Collaboration Architectures. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2011 Workshops. LNCS, vol. 7046, pp. 102–111. Springer, Heidelberg (2011)Vargas, A., Boza, A., Cuenca, L., Ortiz, A.: The importance of strategic alignment in enterprise collaboration. In: 6th International Conference on Industrial Engineering and Industrial Management, Vigo (2012)Henderson, J., Venkatraman, N.: Strategic alignment: Leveraging information technology for transforming organizations. IBM Systems Journal 32(1), 472–484 (1993)Luftman, J.: Assessing Business-IT alignment maturity. Communications of the Association for Information Systems 4 (2000)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) (2011)Kilger, C., Reuter, B., Stadtler, H.: Collaborative Planning. In: Stadtler, H., Kilger, C. (eds.) Supply Chain Management and Advanced Planning-—Concepts, Models Software and Case Studies, pp. 263–284. Springer, Heidelberg (2008)Audy, J., Lehoux, N., D’Amours, S.: A framework for an efficient implementation of logistics collaborations. International Transactions in Operational Research, 1–25 (2010)Stadtler, H.: A framework for collaborative planning and state-of-the-art. OR Spectrum 31, 5–30 (2010)CIMOSA Association: CIMOSA Primer on key concepts, purpose and business value, http://cimosa.cnt.pl/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)Williams, T., Li, H.: PERA and GERAM enterprise reference architectures in enterprise integration. Information Infrastructure Systems for Manufacturing, 1–27 (1998)Ortiz, A.: Propuesta para el Desarrollo de Programas de Integración Empresarial en Empresas Industriales. Aplicación a una Empresa del Sector Cerámico. Ph.D Dissertation. Universidad Politécnica de Valencia (1998)The Open Group, https://www.opengroup.org/index.htmChalmeta, R., Grangel, R.: ARDIN extension for virtual enterprise integration. The Journal of Systems and Software 67 (2003)Scheer, A., Schneider, K.: ARIS – Architecture of Integrated Information. In: Handbook on Architectures of Information Systems. International Handbooks on Information Systems, s.l., vol. 3, pp. 605–623 (2006)Bernard, S.: An introduction to enterprise architecture. Author House, Bloomington (2005)Cuenca, L., Ortiz, A., Boza, A.: Arquitectura de Empresa. Visión General. In: IX Congreso de Ingeniería de Organización, Gijón, pp. 1–8 (2005)Burlacu, G., Stanescu, A., Sacala, I., Cojocaru, L.: Development of a Modeling Framework for Future Internet Enterprise Systems. In: IEEE 16th International Conference on System Theory, Control and Computing, Sinaia, October 12-14 (2012

Towards interoperability through inter-enterprise collaboration architectures

Most enterprise architectures published so far are capable of generating reasonably good descriptive models for individual enterprises to enable integration, organization and synchronization of enterprise elements: organizational structure, business processes, information systems and technology infrastructure, among others. However, research in this field applied to the extended enterprise or inter-enterprise architectures that takes into account the growing trend towards complex collaborative environments is very scarce. In this sense, this article seeks to analyze, link and synthesize the researches that has addressed the disciplines of enterprise architecture and business collaboration, in order to identify possible future research needs from the conceptualization made.Vargas, A.; Boza Garcia, A.; Cuenca, L. (2011). Towards interoperability through inter-enterprise collaboration architectures. En On the Move to Meaningful Internet Systems: OTM 2011 Workshops. Springer Verlag (Germany). 7046:102-111. doi:10.1007/978-3-642-25126-9_18S1021117046Adam, O., Hofer, A., Zang, S., Hammer, C., Jerrentrup, M., Leinenbach, S.: A Collaboration Framework for Cross-enterprise Business Process Management. In: First International Conference on Interoperability of Enterprise Software and Application, Geneva (2005)Chalmeta, R., Grangel, R.: ARDIN extension for virtual enterprise integration. The Journal of Systems and Software 67, 141–152 (2003)Choi, Y., Kang, D., Chae, H., Kim, K.: An enterprise architecture framework for collaboration of virtual enterprise chains. The International Journal of Advanced Manufacturing Technology 35, 1065–1078 (2008)Schekkerman, J.: Extended Enterprise Architecture Framework Essentials Guide. Institute For Enterprise Architecture Developments, IFEAD (2006), http://www.enterprise-architecture.info/index.htmISO 15704. Industrial automation systems - Requirements for enterprise-reference architectures and methodologies.: International Organization for Standardization (2000)Kosanke, K., Vernadat, F., Zelm, M.: CIMOSA: Enterprise engineering and integration. Computers in Industry 40, 83–97 (1999)Cuenca, L.: Marco arquitectónico para la propuesta IE-GIP. Extensión de la arquitectura CIMOSA. Aplicación a una empresa del sector cerámico. PhD thesis. Universidad Politécnica de ValenciaMolina, A., Panetto, H., Chen, D., Whitman, L.: Enterprise Integration and Networking: challenges and trends. Studies in Informatics and Control 16(4), 353–368 (2007)Ortiz, 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)Chalmeta, R., Campos, C., Grangel, R.: References architectures for enterprise integration. The Journal of Systems and Software 57, 175–191 (2001)Vernadat, F.: Enterprise modeling and integration (EMI): Current status and research perspectives. Annual Reviews in Control 26, 15–25 (2002)Williams, T., Li, H.: PERA and GERAM enterprise reference architectures in enterprise integration. Information Infrastructure Systems for Manufacturing, 1–27 (1998)Lankhorst, M.: Enterprise Architecture at Work: Modelling, Communication and Analysis. Springer, Heidelberg (2009)Arango, M., Londoño, J., Zapata, J.: Arquitectura empresarial- Una visión general. Revista Ingenierías Universidad de Medellín 9(16), 101–111 (2010)Bernard, S.: An introduction to enterprise architecture. AuthorHouse, Bloomington (2005)Cuenca, L., Ortiz, A., Boza, A.: Arquitectura de Empresa. Visión General. In: IX Congreso de Ingeniería de Organización, Gijón (2005)Maya, E.: Arquitectura empresarial: un nuevo reto para las empresas de hoy. Centro de Investigación de las Telecomunicaciones. INTERACTIC: Interacción con la información (2010), http://www.interactic.org.co/THE OPEN GROUP.: ARCHIMATE, The Power of Enterprise Architecture (2009), http://www.archimate.org/en/home/Stelzer, D.: Enterprise Architecture Principles: Literature Review and Research Directions. In: Dan, A., Gittler, F., Toumani, F. (eds.) ICSOC/ServiceWave 2009. LNCS, vol. 6275, pp. 12–21. Springer, Heidelberg (2010)Schekkerman, J.: Enterprise architecture validation. Achieving business-aligned and validated enterprise architectures. Institute For Enterprise Architecture Developments, IFEAD (2004), http://www.enterprise-architecture.info/index.htmKosanke, K.: CIMOSA Primer on key concepts, purpose and business value (1996), http://cimosa.cnt.pl/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)Rathwell, G.: PERA Enterprise Integration Web Site (2005), http://www.pera.net/Williams, T., Rathwell, G., Li, H.: A handbook on master planning and implementation for enterprise integration programs. PERA Enterprise Integration Web Site (2001), http://www.pera.net/IFIP.: GERAM: Generalised Enterprise Reference Architecture and Methodology. International Federation for Information Processing (1999), http://dl.ifip.org/index.php/index/indexOrtiz, A.: Propuesta para el Desarrollo de Programas de Integración Empresarial en Empresas Industriales. Aplicación a una Empresa del Sector Cerámico. Universidad Politécnica de Valencia (1998)Cuenca, L., Boza, A., Ortiz, A.: Architecting business and IS/IT strategic alignment for extend enterprises. Studies in Informatics and Control 20(1), 7–18 (2011)The Open Group (2011), https://www.opengroup.org/index.htmGrangel, R.: Propuesta para el Modelado del Conocimiento Empresarial. PhD thesis Universidad Jaume I de Castello (2007)Scheer, A., Schneider, K.: ARIS – Architecture of Integrated Information. Handbook on Architectures of Information Systems. International Handbooks on Information Systems 3, 605–623 (2006)ISO/CEN 19439. Enterprise integration - Framework for enterprise modelling.: International Organization for Standardization (2006)Stadtler, H., Kilger, C.: Supply Chain Management and advance planning. Concepts, Models, Sofware and Cases Studies. Springer, Heidelberg (2002)Alarcón, F., Ortiz, A., Alemany, M., Lario, F.: Planificación Colaborativa en un contexto de varias Cadenas de Suministro: ventajas y desventajas. In: VIII Congreso de Ingeniería de Organización, Leganés, pp. 857–866 (2004)Alarcón, F.: Desarrollo de una Arquitectura para la definición del proceso de Comprometer Pedidos en contextos de Redes de Suministro Colaborativas. Aplicación a una Red compuesta por Cadenas de Suministro en los Sectores Cerámico y del Mueble. PhD thesis Universidad Politécnica de Valencia (2005)Petersen, K., Ragatz, G., Monczka, R.: An Examination of Collaborative Planning Effectiveness and Supply Chain Performance. The Journal of Supply Chain Management 41(2), 14–25 (2005)Ribas, I., Companys, R.: Estado del arte de la planificación colaborativa en la cadena de suministro: Contexto determinista e incierto. Intangible Capital, 91–121 (2007)Ribas, I., Lario, F., Companys, R.: Modelos para la planificación colaborativa en la cadena de suministro: contexto determinista e incierto. In: Congreso de ingeniería de organización, Valencia, pp. 1–10 (2006)Dudek, G.: Collaborative Planning in Supply Chains. Supply Chain Management and Collaborative Planning. Springer, Heidelberg (2009)Stadtler, H.: A framework for collaborative planning and state-of-the-art. OR Spectrum 31, 5–30 (2009)Kilger, C., Reuter, B., Stadtler, H.: Collaborative Planning. In: Stadtler, H., Kilger, C. (eds.) Supply Chain Management and Advanced Planning-—Concepts, Models Software and Case Studies, pp. 263–284. Springer, Heidelberg (2008)Audy, J., Lehoux, N., D’Amours, S.: A framework for an efficient implementation of logistics collaborations. International Transactions in Operational Research, 1–25 (2010)Zachman, J.: A Framework for Information Systems Architecture. IBM Systems Journal 26(3), 454–470 (1987

Planning strategically, designing architecturally : a framework for digital library services

In an era of unprecedented technological innovation and evolving user expectations and information seeking behaviour, we are arguably now an online society, with digital services increasingly common and increasingly preferred. As a trusted information provider, libraries are in an advantageous position to respond, but this requires integrated strategic and enterprise architecture planning, for information technology (IT) has evolved from a support role to a strategic role, providing the core management systems, communication networks, and delivery channels of the modern library. Further, IT components do not function in isolation from one another, but are interdependent elements of distributed and multidimensional systems encompassing people, processes, and technologies, which must consider social, economic, legal, organisational, and ergonomic requirements and relationships, as well as being logically sound from a technical perspective. Strategic planning provides direction, while enterprise architecture strategically aligns and holistically integrates business and information system architectures. While challenging, such integrated planning should be regarded as an opportunity for the library to evolve as an enterprise in the digital age, or at minimum, to simply keep pace with societal change and alternative service providers. Without strategy, a library risks being directed by outside forces with independent motivations and inadequate understanding of its broader societal role. Without enterprise architecture, it risks technological disparity, redundancy, and obsolescence. Adopting an interdisciplinary approach, this conceptual paper provides an integrated framework for strategic and architectural planning of digital library services. The concept of the library as an enterprise is also introduced