ARISupport - Interaction support for augmented reality systems

The communication between user and software is a basic stage in any Interaction System project. In interactive systems, this communication is established by the means of a graphical interface, whose objective is to supply a visual representation of the main entities and functions present in the Virtual Environment. New ways of interacting in computational systems have been minimizing the gap in the relationship between man and computer, and therefore enhancing its usability. The objective of this paper, therefore, is to present a proposal for a non-conventional user interface library called ARISupport, which supplies ARToolKit applications developers with an opportunity to create simple GUI interfaces, and provides some of the functionality used in Augmented Reality systems. © Springer-Verlag Berlin Heidelberg 2005.

The Houston Academy of Medicine--Texas Medical Center Library management information system.

A management information system (MIS) provides a means for collecting, reporting, and analyzing data from all segments of an organization. Such systems are common in business but rare in libraries. The Houston Academy of Medicine-Texas Medical Center Library developed an MIS that operates on a system of networked IBM PCs and Paradox, a commercial database software package. The data collected in the system include monthly reports, client profile information, and data collected at the time of service requests. The MIS assists with enforcement of library policies, ensures that correct information is recorded, and provides reports for library managers. It also can be used to help answer a variety of ad hoc questions. Future plans call for the development of an MIS that could be adapted to other libraries' needs, and a decision-support interface that would facilitate access to the data contained in the MIS databases.

Modelo Híbrido para la Ayuda al Capitán

En esta Tesis se plantea una nueva forma de entender la evacuación apoyándonos en tecnologías existentes y accesibles que nos permitirán ver este proceso como un ente dinámico. Se trata de una metodología que implica no solo el uso de herramientas de análisis que permitan la definición de planes de evacuación en tiempo real, sino que también se apunta hacia la creación de una infraestructura física que permita alimentar con información actualizada al sistema de forma que, según la situación y la evolución de la emergencia, sea posible realizar planes alternativos que se adapten a las nuevas circunstancias. En base a esto, el sistema asimilará toda esa información y aportará soluciones que faciliten la toma de decisiones durante toda la evolución del incidente. Las aportaciones originales de esta Tesis son múltiples y muy variadas, pudiéndolas resumir en los siguientes puntos: 1. Estudio completo del estado del arte: a. Detección y análisis de diferentes proyectos a nivel internacional que de forma parcial tratan algunos aspectos desarrollados en la Tesis. b. Completo estudio a nivel mundial del software desarrollado total o parcialmente para la simulación del comportamiento humano y análisis de procesos de evacuación. Se ha generado una base de datos que cataloga de forma exhaustiva estas aplicaciones, permitiendo realizar un completo análisis y posibilitando la evolución futura de los contenidos de la misma. En la tesis se han analizado casi un centenar de desarrollos, pero el objetivo es seguir completando esta base de datos debido a la gran utilidad y a las importantes posibilidades que ofrece. 2. Desarrollo de un importante capítulo que trata sobre la posibilidad de utilizar entornos virtuales como alternativa intermedia al uso de simuladores y simulacros. En esta sección se divide en dos bloques: a. Ensayos en entornos reales y virtuales. b. Ensayos en entornos virtuales (pruebas realizadas con varios entornos virtuales). 3. Desarrollo de e-Flow net design: paquete de herramientas desarrolladas sobre Rhinoceros para el diseño de la red de evacuación basada en los elementos definidos en la tesis: Nodes, paths, Relations y Areas. 4. Desarrollo de e-Flow Simulator: Conjunto de herramientas que transforman Rhinoceros en un simulador 3D de comportamiento humano. Este simulador, de desarrollo propio, incorpora un novedoso algoritmo de comportamiento a nivel de individuo que incluye aspectos que no se han encontrado en otros simuladores. Esta herramienta permite realizar simulaciones programadas de grupos de individuos cuyo comportamiento se basa en el análisis del entorno y en la presencia de referencias dinámicas. Incluye otras importantes novedades como por ejemplo: herramientas para análisis de la señalización, elementos de señalización dinámica, incorporación sencilla de obstáculos, etc. También se ha creado una herramienta que posibilita la implementación del movimiento del propio escenario simulando la oscilación del mismo, con objeto de reflejar la influencia del movimiento del buque en el desplazamiento de los individuos. 5. En una fase avanzada del desarrollo, se incorporó la posibilidad de generar un vídeo de toda la simulación, momento a partir del cual, se han documentado todas las pruebas (y se continúan documentando) en una base de datos que recoge todas las características de las simulaciones, los problemas detectados, etc. Estas pruebas constituyen, en el momento en que se ha cerrado la redacción de la Tesis, un total de 81 GB de datos. Generación y análisis de rutas en base a la red de evacuación creada con e-Flow Net design y las simulaciones realizadas con e-Flow Net simulator. a. Análisis para la optimización de la configuración de la red en base a los nodos por área existentes. b. Definición de procesos previos al cálculo de rutas posibles. c. Cálculo de rutas: i. Análisis de los diferentes algoritmos que existen en la actualidad para la optimización de rutas. ii. Desarrollo de una nueva familia de algoritmos que he denominado “Minimum Decision Algorithm (MDA)”, siendo los algoritmos que componen esta familia: 1. MDA básico. 2. MDA mínimo. 3. MDA de no interferencia espacial. 4. MDA de expansión. 5. MDA de expansión ordenada para un único origen. 6. MDA de expansión ordenada. iii. Todos estos algoritmos se han implementado en la aplicación e-Flow creada en la Tesis para el análisis de rutas y que constituye el núcleo del Sistema de Ayuda al Capitán. d. Determinación de las alternativas para el plan de evacuación. Tras la definición de las rutas posibles, se describen diferentes procesos existentes de análisis por ponderación en base a criterios, para pasar finalmente a definir el método de desarrollo propio propuesto en esta Tesis y cuyo objetivo es responder en base a la población de rutas posibles obtenidas mediante los algoritmos MDA, qué combinación de rutas constituyen el Plan o Planes más adecuados para cada situación. La metodología creada para la selección de combinaciones de rutas que determinan un Plan completo, se basa en cuatro criterios básicos que tras su aplicación ofrecen las mejores alternativas. En esta fase también se incluye un complejo análisis de evolución temporal que incorpora novedosas definiciones y formulaciones. e. Derivado de la definición de la metodología creada en esta Tesis para la realización de los análisis de evolución temporal, se ha podido definir un nuevo teorema matemático que se ha bautizado como “Familia de cuadriláteros de área constante”. 7. Especificación de la infraestructura física del Sistema de Ayuda al Capitán: parte fundamental de sistema es la infraestructura física sobre la que se sustentaría. Esta infraestructura estaría compuesta por sensores, actuadores, aplicaciones para dispositivos móviles, etc. En este capítulo se analizan los diferentes elementos que la constituirían y las tecnologías implicadas. 8. Especificación de la infraestructura de servicios. 9. Creación del Blog Virtual Environments (http://epcinnova-virtualenvironments.blogspot.com.es/) en el que se han publicado todas las pruebas realizadas en el capítulo que analiza los entornos virtuales como alternativa a los simuladores y a los ensayos en laboratorio o los simulacros, incluyendo en muchos casos la posibilidad de que el visitante del blog pueda realizar la simulación en el entorno virtual. Este blog también incluye otras secciones que se han trabajado durante la Tesis: • Recopilación de diferentes entornos virtuales existentes. • Diagrama que recopila información sobre accidentes tanto en el ámbito marítimo como en el terrestre (en desarrollo). • Esquema propuesto para el acopio de información obtenida a partir de un simulacro. 10. Esta Tesis es la base para el proyecto e-Flow (nombre de una de las aplicaciones que desarrolladas en esta obra), un proyecto en el que el autor de esta Tesis ha trabajado como Project Manager. En el proyecto participa un consorcio de empresas y la UPM, y tiene como objetivo trasladar a la realidad gran parte de los planteamientos e ideas presentadas en esta Tesis. Este proyecto incluye el desarrollo de la infraestructura física y de servicios que permitirán, entre otras cosas, implementar en infraestructuras complejas una plataforma que posibilita la evacuación dinámica y un control ubicuo de los sistemas de monitorización y actuación implementados. En estos momentos se está finalizando el proyecto, cuyo objetivo final es la implementación de un piloto en un Hospital. También destacamos los siguientes avances a nivel de difusión científico-tecnológico: • Ponencia en el “52 congreso de la Ingeniería Naval en España” presentando un artículo “e-Flow- Sistema integral inteligente de soporte a la evacuación”. En este artículo se trata tanto el proyecto e-Flow del que soy Project Manager, como esta Tesis Doctoral, al ser temas estrechamente vinculados. En 2014 se publicó en dos números de la Revista Ingeniería Naval el artículo presentado a estas jornadas. • Co-autor en el artículo “E-Flow: A communication system for user notification in dynamic evacuation scenarios” presentado en el 7th International Conference on Ubicuous Computing & Ambient Intelligence (UCAMI) celebrado en Costa Rica. Por último, una de las aportaciones más interesantes, es la definición de un gran número de líneas de investigación futuras en base a todos los avances realizados en esta Tesis. ABSTRACT With this Thesis a new approach for understanding evacuation process is considered, taking advantage of the existing and open technologies that will allow this process to be interpreted as a dynamic entity. The methodology involves not only tools that allows on.-time evacuation plans, but also creates a physical insfrastructure that makes possible to feed the system with information on real time so, considering in each moment the real situation as well as the specific emergency development it will be feasible to generate alternative plans that responds to the current emergency situation. In this respect, the system will store all this information and will feedback with solutions that will help the decision making along the evacuation process. The innovative and singular contributions of this Thesis are numerous and rich, summarised as follows: 1.- Complete state-of-art study: a. Detection and analysis of different projects on an international level that, although partially, deal with some aspects developed in this Thesis. b. Thorough study at a international level of the developed software - total or partially done - for the simulation of the human behaviour and evacuation processes analysis. A database has been generated that classifies in detail these applications allowing to perform a full analysis and leading to future evolution of its contents. Within the Thesis work, almost a hundred of developments have been analysed but the purpose is to keep up updating this database due to the broad applications and possibilities that it involves. 2. Development of an important chapter that studies the possibility of using virtual scenarios as mid-term alternative for the use of simulations. This section is divided in two blocks: a. Trials in virtual and real scenarios b. Trials in virutal scenarios (trials performed with several ones). 3. E-Flow net design development: Set of tools developed under Rhinoceros for the evacuation net design based on the elements defined in the Thesis: Nodes, Paths, Relations, Areas 4. E-Flow simulator development: Set of tools that uses Rhinoceros as a 3D simulator of human behaviour. This simulator, of my own design, includes a new and original algorithm of human behaviour that involves aspects that are not found in other simulators. This tool allows to perform groups programmed simulations which behaviour is based on their enviroment analysis and presence of dynamic references. It includes other important innovations as for example: tools for signals analysis, dynamic signal elements, easy obstacle adding etc... More over, a tool that allows the own scenario movement implementation has been created by simulating the own oscillation movement, with the purpose of playing the vessel movement's influences in the individuals' displacements. 5. In an advanced stage of the development, the possibility of generating a video recording of all the simulation was also integrated, then from that moment all tests have been filed (and keep on doing so) in a database that collects all simulation characteristics, failures detected, etc. These stored tests amounts to a total of 81 GB at the moment of finishing the Thesis work. Generation and analysis of paths regarding the evacuation net created with E-Flow design and the simulations performed with E-Flow net Simulator. a. Analysis for the optimisation of the network configuration based in the existing nodes per area. b. Definition of the processes previous to the calculation of the feasible paths c. Paths calculation: i. Analysis of the different algorithms on existance nowadays for the routes optimisation. ii. Development of a new family of algorithms that I have called “Minimum Decision Algorithm (MDA)”, being composed of: 1. MDA basic 2. MDA minimum 3. MDA of not spacial interference 4. MDA of expansion (es de extenderse) o enlargement ( es de crecimiento) 5. MDA of organised expansion for a single origin (of organised enlargement for a single origin) 6. MDA of organised expansion (of organised enlargement) iii. All these algorithms have been implemented in the E-Flow application created in the Thesis dfor the routes analysis and it is the core of the Captain's support system. d. Determination of the alternatives for the evacuation plan. After defining all possible paths, different processes of analysis existing for weighing-based criteria are described, thus to end defining the own development method proposed in this Thesis and that aims to respond in an agreggation of possible routes basis obtained by means of the MDA algorithms what is the routes' combination more suitable for the Plan or Plans in every situation. The methodology created fot the selection of the combinations of routes that determine a complete Plan is baesd in four basic criteria that after applying, offer the best alternatives. In this stage a complex analysis of the progress along time is also included, that adds original and innovative defintions and formulations. e. Originated from the methodology created in this Thesis for the perfoming of the analysy of the progress along time, a new mathematic theorem has been defined, that has been called as "Family of quadrilateral of constant area". 7. Specification of the physiscal infrastructure of the Captain's help system: essential part is this physical infrastructure that will support it. This system will be made of sensors, actuators, apps for mobile devices etc... Within this chapter the different elements and technologies that make up this infrastructure will be studied. 8. Specification for the services infrastructure. 9. Start up of the Blog. " Virtual Environments (http://epcinnova-virtualenvironments.blogspot.com.es/)" in which all tests performed have been published in terms of analysis of the virtual enviroments as alternative to the simulators as well as to the laboratory experiments or simulations, including in most of the cases the possibility that the visitor can perform the simulation within the virtual enviroment. This blog also includes other sections that have been worked along and within this Thesis: - Collection of different virtual scenarios existent. - Schema that gathers information concerning accidents for maritime and terrestrial areas (under development) - Schema proposed for the collecting of information obtained from a simulation. 10. This Thesis is the basis of the E-Flow project (name of one of the applications developed in this work), a project in which the Thesis' author has worked in as Project Manager. In the project takes part a consortium of firms as well as the UPM and the aim is to bring to real life most part of the approaches and ideas contained in this Thesis. This project includes the development of the physical infrastructure as well as the services that will allow, among others, implement in complex infrastrucutres a platform that will make possible a dynamic evacuation and a continuous control of the monitoring and acting systems implemented. At the moment the project is getting to an end which goal is the implementation of a pilot project in a Hospital. We also would like to highlight the following advances concerning the scientific-technology divulgation: • Talk in the " 52th Congress of the Naval Engineering in Spain" with the article "E-Flow . Intelligent system integrated for supporting evacuation". This paper is about project E-Flow which I am Project Manager of, as well as this Thesis for the Doctorate, being both closely related. Two papers published In 2014 in the Naval Engineering Magazine. • Co-author in the article “E-Flow: A communication system for user notification in dynamic evacuation scenarios” [17] introduced in the 7th International Conference on Ubicuous Computing & Ambient Intelligence (UCAMI) held in Costa Rica. Last, but not least, one of the more interesting contributions is the defintion of several lines of research in the future, based on the advances made in this Thesis.

An end to support for renewables? The wrong battle to fight. CEPS Commentary, October 2013

On 11 October 2013, the CEOs of 10 large European energy utilities issued a warning that the European energy infrastructure is “in jeopardy” and called for an end to support for renewables on grounds that wind and solar were mature technologies that no longer required such support. Given the unlikelihood, however, that EU decision-makers would renege on their decarbonisation or renewable energy targets, Fabio Genoese asks in this commentary whether it would not be a better strategy for conventional generators to explore new business models built around a ‘reliability pricing system’, in which nearly 100% reliability would be guaranteed for base load but not for peak demand.

A cognitive genetic algorithm for power distribution system planning

Power systems are large scale nonlinear systems with high complexity. Various optimization techniques and expert systems have been used in power system planning. However, there are always some factors that cannot be quantified, modeled, or even expressed by expert systems. Moreover, such planning problems are often large scale optimization problems. Although computational algorithms that are capable of handling large dimensional problems can be used, the computational costs are still very high. To solve these problems, in this paper, investigation is made to explore the efficiency and effectiveness of combining mathematic algorithms with human intelligence. It had been discovered that humans can join the decision making progresses by cognitive feedback. Based on cognitive feedback and genetic algorithm, a new algorithm called cognitive genetic algorithm is presented. This algorithm can clarify and extract human's cognition. As an important application of this cognitive genetic algorithm, a practical decision method for power distribution system planning is proposed. By using this decision method, the optimal results that satisfy human expertise can be obtained and the limitations of human experts can be minimized in the mean time.

Organisational learning - a critical systems thinking discipline

Original Paper European Journal of Information Systems (2001) 10, 135–146; doi:10.1057/palgrave.ejis.3000394 Organisational learning—a critical systems thinking discipline P Panagiotidis1,3 and J S Edwards2,4 1Deloitte and Touche, Athens, Greece 2Aston Business School, Aston University, Aston Triangle, Birmingham, B4 7ET, UK Correspondence: Dr J S Edwards, Aston Business School, Aston University, Aston Triangle, Birmingham, B4 7ET, UK. E-mail: j.s.edwards@aston.ac.uk 3Petros Panagiotidis is Manager responsible for the Process and Systems Integrity Services of Deloitte and Touche in Athens, Greece. He has a BSc in Business Administration and an MSc in Management Information Systems from Western International University, Phoenix, Arizona, USA; an MSc in Business Systems Analysis and Design from City University, London, UK; and a PhD degree from Aston University, Birmingham, UK. His doctorate was in Business Systems Analysis and Design. His principal interests now are in the ERP/DSS field, where he serves as project leader and project risk managment leader in the implementation of SAP and JD Edwards/Cognos in various major clients in the telecommunications and manufacturing sectors. In addition, he is responsible for the development and application of knowledge management systems and activity-based costing systems. 4John S Edwards is Senior Lecturer in Operational Research and Systems at Aston Business School, Birmingham, UK. He holds MA and PhD degrees (in mathematics and operational research respectively) from Cambridge University. His principal research interests are in knowledge management and decision support, especially methods and processes for system development. He has written more than 30 research papers on these topics, and two books, Building Knowledge-based Systems and Decision Making with Computers, both published by Pitman. Current research work includes the effect of scale of operations on knowledge management, interfacing expert systems with simulation models, process modelling in law and legal services, and a study of the use of artifical intelligence techniques in management accounting. Top of pageAbstract This paper deals with the application of critical systems thinking in the domain of organisational learning and knowledge management. Its viewpoint is that deep organisational learning only takes place when the business systems' stakeholders reflect on their actions and thus inquire about their purpose(s) in relation to the business system and the other stakeholders they perceive to exist. This is done by reflecting both on the sources of motivation and/or deception that are contained in their purpose, and also on the sources of collective motivation and/or deception that are contained in the business system's purpose. The development of an organisational information system that captures, manages and institutionalises meaningful information—a knowledge management system—cannot be separated from organisational learning practices, since it should be the result of these very practices. Although Senge's five disciplines provide a useful starting-point in looking at organisational learning, we argue for a critical systems approach, instead of an uncritical Systems Dynamics one that concentrates only on the organisational learning practices. We proceed to outline a methodology called Business Systems Purpose Analysis (BSPA) that offers a participatory structure for team and organisational learning, upon which the stakeholders can take legitimate action that is based on the force of the better argument. In addition, the organisational learning process in BSPA leads to the development of an intrinsically motivated information organisational system that allows for the institutionalisation of the learning process itself in the form of an organisational knowledge management system. This could be a specific application, or something as wide-ranging as an Enterprise Resource Planning (ERP) implementation. Examples of the use of BSPA in two ERP implementations are presented.

A co-ordinated business object approach for supporting tactical level management decisions

The proliferation of data throughout the strategic, tactical and operational areas within many organisations, has provided a need for the decision maker to be presented with structured information that is appropriate for achieving allocated tasks. However, despite this abundance of data, managers at all levels in the organisation commonly encounter a condition of ‘information overload’, that results in a paucity of the correct information. Specifically, this thesis will focus upon the tactical domain within the organisation and the information needs of management who reside at this level. In doing so, it will argue that the link between decision making at the tactical level in the organisation, and low-level transaction processing data, should be through a common object model that used a framework based upon knowledge leveraged from co-ordination theory. In order to achieve this, the Co-ordinated Business Object Model (CBOM) was created. Detailing a two-tier framework, the first tier models data based upon four interactive object models, namely, processes, activities, resources and actors. The second tier analyses the data captured by the four object models, and returns information that can be used to support tactical decision making. In addition, the Co-ordinated Business Object Support System (CBOSS), is a prototype tool that has been developed in order to both support the CBOM implementation, and to also demonstrate the functionality of the CBOM as a modelling approach for supporting tactical management decision making. Containing a graphical user interface, the system’s functionality allows the user to create and explore alternative implementations of an identified tactical level process. In order to validate the CBOM, three verification tests have been completed. The results provide evidence that the CBOM framework helps bridge the gap between low level transaction data, and the information that is used to support tactical level decision making.

A process framework for selecting supply system architecture in manufacturing supply chains and networks

The process framework comprises three phases, as follows: scope the supply chain/network; identify the options for supply system architecture and select supply system architecture. It facilitates a structured approach that analyses the supply chain/network contextual characteristics, in order to ensure alignment with the appropriate supply system architecture. The process framework was derived from comprehensive literature review and archival case study analysis. The review led to the classification of supply system architectures according to their orientation, whether integrated; partially integrated; co-ordinated or independent. The classification was combined with the characteristics that influence the selection of supply system architecture to encapsulate the conceptual framework. It builds upon existing frameworks and methodologies by focusing on structured procedure; supporting project management; facilitating participation and clarifying point of entry. The process framework was initially tested in three case study applications from the food, automobile and hand tool industries. A variety of industrial settings was chosen to illustrate transferability. The case study applications indicate that the process framework is a valid approach to the problem; however, further testing is required. In particular, the use of group support system technologies to support the process and the steps involving the participation of software vendors need further testing. However, the process framework can be followed due to the clarity of its presentation. It considers the issue of timing by including alternative decision-making techniques, dependent on the constraints. It is useful for ensuring a sound business case is developed, with supporting documentation and analysis that identifies the strategic and functional requirements of supply system architecture.

Information systems to support decision-making in *construction owner organizations: A data warehousing approach

Construction organizations typically deal with large volumes of project data containing valuable information. It is found that these organizations do not use these data effectively for planning and decision-making. There are two reasons. First, the information systems in construction organizations are designed to support day-to-day construction operations. The data stored in these systems are often non-validated, non-integrated and are available in a format that makes it difficult for decision makers to use in order to make timely decisions. Second, the organizational structure and the IT infrastructure are often not compatible with the information systems thereby resulting in higher operational costs and lower productivity. These two issues have been investigated in this research with the objective of developing systems that are structured for effective decision-making. ^ A framework was developed to guide storage and retrieval of validated and integrated data for timely decision-making and to enable construction organizations to redesign their organizational structure and IT infrastructure matched with information system capabilities. The research was focused on construction owner organizations that were continuously involved in multiple construction projects. Action research and Data warehousing techniques were used to develop the framework. ^ One hundred and sixty-three construction owner organizations were surveyed in order to assess their data needs, data management practices and extent of use of information systems in planning and decision-making. For in-depth analysis, Miami-Dade Transit (MDT) was selected which is in-charge of all transportation-related construction projects in the Miami-Dade county. A functional model and a prototype system were developed to test the framework. The results revealed significant improvements in data management and decision-support operations that were examined through various qualitative (ease in data access, data quality, response time, productivity improvement, etc.) and quantitative (time savings and operational cost savings) measures. The research results were first validated by MDT and then by a representative group of twenty construction owner organizations involved in various types of construction projects. ^

Information systems to support decision-making in construction owner organizations : a data warehousing approach

Construction organizations typically deal with large volumes of project data containing valuable information. It is found that these organizations do not use these data effectively for planning and decision-making. There are two reasons. First, the information systems in construction organizations are designed to support day-to-day construction operations. The data stored in these systems are often non-validated, nonintegrated and are available in a format that makes it difficult for decision makers to use in order to make timely decisions. Second, the organizational structure and the IT infrastructure are often not compatible with the information systems thereby resulting in higher operational costs and lower productivity. These two issues have been investigated in this research with the objective of developing systems that are structured for effective decision-making. A framework was developed to guide storage and retrieval of validated and integrated data for timely decision-making and to enable construction organizations to redesign their organizational structure and IT infrastructure matched with information system capabilities. The research was focused on construction owner organizations that were continuously involved in multiple construction projects. Action research and Data warehousing techniques were used to develop the framework. One hundred and sixty-three construction owner organizations were surveyed in order to assess their data needs, data management practices and extent of use of information systems in planning and decision-making. For in-depth analysis, Miami-Dade Transit (MDT) was selected which is in-charge of all transportation-related construction projects in the Miami-Dade county. A functional model and a prototype system were developed to test the framework. The results revealed significant improvements in data management and decision-support operations that were examined through various qualitative (ease in data access, data quality, response time, productivity improvement, etc.) and quantitative (time savings and operational cost savings) measures. The research results were first validated by MDT and then by a representative group of twenty construction owner organizations involved in various types of construction projects.

Advanced Business Simulations-Incorporating business and process execution data

Key Performance Indicators (KPIs) and their predictions are widely used by the enterprises for informed decision making. Nevertheless , a very important factor, which is generally overlooked, is that the top level strategic KPIs are actually driven by the operational level business processes. These two domains are, however, mostly segregated and analysed in silos with different Business Intelligence solutions. In this paper, we are proposing an approach for advanced Business Simulations, which converges the two domains by utilising process execution & business data, and concepts from Business Dynamics (BD) and Business Ontologies, to promote better system understanding and detailed KPI predictions. Our approach incorporates the automated creation of Causal Loop Diagrams, thus empowering the analyst to critically examine the complex dependencies hidden in the massive amounts of available enterprise data. We have further evaluated our proposed approach in the context of a retail use-case that involved verification of the automatically generated causal models by a domain expert.

DEVELOPMENT OF A DECISION/DEPLOYMENT SUPPORT TOOL FOR VARIABLE SPEED LIMITS IN RECURRENT CONGESTION

Traffic demand increases are pushing aging ground transportation infrastructures to their theoretical capacity. The result of this demand is traffic bottlenecks that are a major cause of delay on urban freeways. In addition, the queues associated with those bottlenecks increase the probability of a crash while adversely affecting environmental measures such as emissions and fuel consumption. With limited resources available for network expansion, traffic professionals have developed active traffic management systems (ATMS) in an attempt to mitigate the negative consequences of traffic bottlenecks. Among these ATMS strategies, variable speed limits (VSL) and ramp metering (RM) have been gaining international interests for their potential to improve safety, mobility, and environmental measures at freeway bottlenecks. Though previous studies have shown the tremendous potential of variable speed limit (VSL) and VSL paired with ramp metering (VSLRM) control, little guidance has been developed to assist decision makers in the planning phase of a congestion mitigation project that is considering VSL or VSLRM control. To address this need, this study has developed a comprehensive decision/deployment support tool for the application of VSL and VSLRM control in recurrently congested environments. The decision tool will assist practitioners in deciding the most appropriate control strategy at a candidate site, which candidate sites have the most potential to benefit from the suggested control strategy, and how to most effectively design the field deployment of the suggested control strategy at each implementation site. To do so, the tool is comprised of three key modules, (1) Decision Module, (2) Benefits Module, and (3) Deployment Guidelines Module. Each module uses commonly known traffic flow and geometric parameters as inputs to statistical models and empirically based procedures to provide guidance on the application of VSL and VSLRM at each candidate site. These models and procedures were developed from the outputs of simulated experiments, calibrated with field data. To demonstrate the application of the tool, a list of real-world candidate sites were selected from the Maryland State Highway Administration Mobility Report. Here, field data from each candidate site was input into the tool to illustrate the step-by-step process required for efficient planning of VSL or VSLRM control. The output of the tool includes the suggested control system at each site, a ranking of the sites based on the expected benefit-to-cost ratio, and guidelines on how to deploy the VSL signs, ramp meters, and detectors at the deployment site(s). This research has the potential to assist traffic engineers in the planning of VSL and VSLRM control, thus enhancing the procedure for allocating limited resources for mobility and safety improvements on highways plagued by recurrent congestion.

Negotiation Support for Co-design of Business Services

Part 3: Product-Service Systems

Social media as an information system : improving the technological agility

There is an increased focus on research involving social media. This research however has failed to catch up with the pace of the technology development and may prove disadvantageous for both practice and theory. The longitudinal study presented in the paper was conducted over a 3-year period involving Australian banks and popular social media technologies. The paper empirically tests the Honeycomb model as a tool that enhances the technological agility of social media. The paper fills a key research gap and provides dynamism to social media strategy formation, continuous improvement of strategy development in support of greater business agility.

Aplicaciones de los modelos de predicción bio-inspirados en la administración

Las organizaciones y sus entornos son sistemas complejos. Tales sistemas son difíciles de comprender y predecir. Pese a ello, la predicción es una tarea fundamental para la gestión empresarial y para la toma de decisiones que implica siempre un riesgo. Los métodos clásicos de predicción (entre los cuales están: la regresión lineal, la Autoregresive Moving Average y el exponential smoothing) establecen supuestos como la linealidad, la estabilidad para ser matemática y computacionalmente tratables. Por diferentes medios, sin embargo, se han demostrado las limitaciones de tales métodos. Pues bien, en las últimas décadas nuevos métodos de predicción han surgido con el fin de abarcar la complejidad de los sistemas organizacionales y sus entornos, antes que evitarla. Entre ellos, los más promisorios son los métodos de predicción bio-inspirados (ej. redes neuronales, algoritmos genéticos /evolutivos y sistemas inmunes artificiales). Este artículo pretende establecer un estado situacional de las aplicaciones actuales y potenciales de los métodos bio-inspirados de predicción en la administración.