Toward a Maturity Model for DSS Development Processes

Despite recent progress with Decision support systems (DSS) development methodologies, a gap still exist in terms of theability to assess the maturity of an organization with respect to its DSS development process. A need exist to be able todescribe DSS development processes at a meta-level. Equally important is the ability to provide organization withprescriptions to increase the maturity of their DSS development processes.In this paper, we propose a Decision Support System Maturity Model (DSS-MM). The model draws on extant literaturerelated to DSS development methodologies, practices and processes to identify pertinent DSS development practices anddefine maturity models for these practices. From a theoretical perspective, this research presents the first maturity modelspecifically targeting DSS development. From a practical perspective, the model provides a framework for organizations toassess their DSS development maturity level and devise process improvement initiatives to address any limitations withexisting practices

A systematic literature review of decision-making and control systems for autonomous and social robots

In the last years, considerable research has been carried out to develop robots that can improve our quality of life during tedious and challenging tasks. In these contexts, robots operating without human supervision open many possibilities to assist people in their daily activities. When autonomous robots collaborate with humans, social skills are necessary for adequate communication and cooperation. Considering these facts, endowing autonomous and social robots with decision-making and control models is critical for appropriately fulfiling their initial goals. This manuscript presents a systematic review of the evolution of decision-making systems and control architectures for autonomous and social robots in the last three decades. These architectures have been incorporating new methods based on biologically inspired models and Machine Learning to enhance these systems’ possibilities to developed societies. The review explores the most novel advances in each application area, comparing their most essential features. Additionally, we describe the current challenges of software architecture devoted to action selection, an analysis not provided in similar reviews of behavioural models for autonomous and social robots. Finally, we present the future directions that these systems can take in the future.The research leading to these results has received funding from the projects: Robots Sociales para Estimulación Física, Cognitiva y Afectiva de Mayores (ROSES), RTI2018-096338-B-I00, funded by the Ministerio de Ciencia, Innovación y Universidades; Robots sociales para mitigar la soledad y el aislamiento en mayores (SOROLI), PID2021-123941OA-I00, funded by Agencia Estatal de Investigación (AEI), Spanish Ministerio de Ciencia e Innovación. This publication is part of the R&D&I project PLEC2021-007819 funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR

Feasibility analysis of using special purpose machines for drilling-related operations

This work focuses on special purpose machine tools (SPMs), providing a modular platform for performing drilling-related operations. One of the main challenges in using SPMs is selecting the most appropriate machine tool among many alternatives. This thesis introduces a feasibility analysis procedure developed to support decision-making through the assessment of the strengths and limitations of SPMs. To achieve this, technical and economic feasibility analyses, a sensitivity analysis, and an optimisation model were developed and a case study was provided for each analysis. The results indicated that although technical feasibility analysis leads decision-makers to select a feasible machine tool, complementary analyses are required for making an informed decision and improving profitability. Accordingly, a mathematical cost model was developed to perform economic and sensitivity analyses and investigate the profitability of any selected SPM configuration. In addition, an optimisation procedure was applied to the cost model in order to investigate the effect of process parameters and the SPM configuration on the decision-making. Finally, the developed analyses were then integrated into a model in a proper sequence that can evaluate whether the SPM is appropriate for producing the given part and achieving higher productivity. To validate this integrated model three different case studies were presented and results were discussed. The results showed that the developed model is a very useful tool in assisting manufacturers to evaluate the performance of SPMs in comparison with other alternatives considered from different perspectives

Why Modeling Complex Dynamic Systems using Fuzzy Cognitive Maps?

The difficult problem of modeling Complex Dynamic Systems (CDS) is carefully reviewed. Main characteristics of CDS are considered and analyzed. Today’s mathematical models and approaches cannot provide satisfactory answers to the challenging problems of the society. The key problem of complex dynamic systems and control theory consists in the development of methods of qualitative analysis of the dynamics and behavior of such systems and in the construction of efficient control algorithms for their efficient operation. The purpose of control to bring the system to a point of its phase space which corresponds to maximal or minimal value of the chosen efficiency criterion is reviewed and analyzed. The reasons for using Fuzzy Cognitive Maps (FCMs) in modeling Complex dynamic Systems are provided. The basics of FCMs are briefly presented. An illustrative example is considered and interesting results are presented and discusse

Sistemas de gestão de destinos turísticos: contribuições para a sua adoção e implementação

The growing competition between tourist destinations, the progressively demanding tourist source markets, as well the complexity of the strategies to attract them, has led Destination Management Organisations (DMOs) to expand their attributions to assume themselves as central actors in the coordination of the stakeholders of respective destinations. Thus, some DMOs have implemented collaborative online networks, referred to as Destination Management Systems (DMSs), which connect all relevant tourist agents in a destination, facilitating communication and cooperation between them. These systems also provide online tourist portals for tourist destinations that offer more personalised travel planning experiences, including the possibility to purchase tourist products. However, only a residual number of tourist destinations has ever tried to adopt a DMS and a considerable portion of the them were unsuccessful. The challenges to the success of a DMS require a careful analysis of the factors that influence the willingness of the tourist agents of a destination to adopt them, as well as of the factors that determine the importance that these agents attribute to the functionalities of those same DMSs. However, research in this area is still limited. The main objectives of this thesis are to obtain an in-depth knowledge about the factors mentioned above, as well as on the characteristics and role of DMSs, in order to promote the implementation of these systems in tourist destinations. To achieve these objectives, a mixed methodology was adopted, starting with an extensive review of the literature on DMSs, exploratory interviews with the main companies providing DMS solutions and with DMOs that have successfully implemented these systems. At content analysis of those same DMSs was undertaken. This qualitative approach provided an in-depth knowledge regarding the characteristics of DMSs, the current business and management models of these systems, as well as their recent developments and future perspectives. Then, a quantitative approach was used to identify the factors that explain the willingness of destination-based stakeholders to adopt a DMS, as well as those influencing the importance attributed by these agents to the specific functionalities of DMSs. Thus, a questionnaire survey was applied to different types of tourist agents from a regional destination lacking a DMS: The Portuguese Centre region. The results of the quantitative investigation indicate that the predisposition to adopt a DMS is positively influenced by factors such as: (i) cooperation within the destination; (ii) pressure from the external environment (e.g. from competing destinations); (iii) perceived benefits and usefulness of the DMS; (iv) DMO's leadership and strategic vision; (v) resources and strategic vision of the tourist actors in the destination. On the other hand, two factors which are still absent from research on this topic were found to negatively influence the predisposition to adopt a DMS, namely: (i) alternative online platforms and (ii) the lack of a DMS in neighbouring regions or at the national level. The results also demonstrate that the importance attributed to the specific functionalities of a DMS by destination-based stakeholders is positively influenced (i) by its resources and strategic vision, (ii) by its knowledge on the DMO’s initiatives in the field of the Information and Communication and Technologies, (iii) the condition of affiliated member of a DMO; and (iv) by the tourist agent sub-sector, since it was found that tourism accommodation providers value collaborative functionalities of a DMS less than others. The thesis ends with conclusions and implications for the tourism sector, mainly for agents responsible for the development of tourist destinations.A crescente competição entre destinos turísticos, bem como a progressiva exigência da procura turística e da complexidade das estratégias para a atrair, levou as Organizações de Gestão de Destinos (OGD) a ampliarem as suas atribuições para se assumirem como atores centrais na coordenação dos stakeholders dos respetivos destinos. Assim, algumas OGDs implementaram redes colaborativas online, designadas de Sistemas de Gestão de Destinos (SGDs), que interligam todos os agentes turísticos relevantes de um destino, facilitando a comunicação e a cooperação entre eles. Estes sistemas também proporcionam à procura turística portais online de destinos turísticos que oferecem experiências de planeamento de viagens mais personalizadas, incluindo a possibilidade de comprar produtos turísticos. Porém, apenas um número residual de destinos turísticos tentou adotar um SGD e uma parcela considerável dos SGDs não tiveram sucesso. Os desafios para garantir o sucesso dos SGD exigem uma análise cuidada dos fatores que influenciam a predisposição dos agentes turísticos de um destino para os adotar, bem como dos fatores que determinam a importância que estes agentes atribuem às funcionalidades dos SGD. No entanto, a investigação neste âmbito é ainda limitada. A presente tese tem como principais objetivos obter um conhecimento aprofundado sobre os fatores anteriormente referidos, bem como sobre as características e papel dos SGD, no sentido de promover a implementação destes sistemas nos destinos. Para alcançar os objetivos estabelecidos, adotou-se uma metodologia mista, começando com uma extensiva revisão da literatura sobre SGD, entrevistas exploratórias às principais empresas fornecedoras de soluções de SGD e a OGD que implementaram estes sistemas com sucesso, bem como análises de conteúdo de SGD. Esta abordagem qualitativa permitiu um conhecimento mais aprofundado relativamente às características dos SGD, aos atuais modelos de negócios e de gestão destes sistemas, bem como aos seus recentes desenvolvimentos e perspetivas futuras. Seguidamente uma abordagem quantitativa foi utlizada para identificar os fatores que explicam a predisposição dos agentes turísticos de um destino para adotar um SGD, bem como os fatores que influenciam a importância atribuída por estes agentes às funcionalidades específicas dos SGD. Assim, um inquérito por questionário foi aplicado a diferentes tipos de agentes turísticos de um destino regional que não dispõe de um SGD: a região Centro de Portugal. Os resultados da investigação quantitativa indicam que a predisposição para adotar um SGD é influenciada positivamente por fatores como: (i) cooperação no destino; (ii) pressão do ambiente externo (ex. de destinos concorrentes); (iii) benefícios percebidos e utilidade do SGD; (iv) liderança e visão estratégica da OGD; (v) recursos e visão estratégica dos atores turísticos do destino. Por outro lado, dois fatores até agora ausentes da investigação influenciam negativamente a predisposição para adotar um SGD, nomeadamente: (i) as plataformas alternativas online e (ii) a falta de um SGD em regiões vizinhas ou a nível nacional. Os resultados demonstram ainda que a importância atribuída às funcionalidades específicas de um SGD pelos agentes turísticos de um destino é influenciada positivamente (i) pelos seus recursos e visão estratégica, (ii) pelo seu conhecimento sobre as iniciativas da OGD no âmbito das Tecnologias de Informação e Comunicação, (iii) por ser membro afiliado da OGD; e (iv) pelo subsetor do agente turístico, observando-se que os fornecedores de alojamento turístico valorizam menos as funcionalidades de cariz colaborativo do que outro tipo de agentes. A tese termina com conclusões e implicações para o setor do turismo, principalmente para agentes responsáveis pelo desenvolvimento turístico.Programa Doutoral em Turism

Why Modeling Complex Dynamic Systems using Fuzzy Cognitive Maps?

The difficult problem of modeling Complex Dynamic Systems (CDS) is carefully reviewed. Main characteristics of CDS are considered and analyzed. Today’s mathematical models and approaches cannot provide satisfactory answers to the challenging problems of the society. The key problem of complex dynamic systems and control theory consists in the development of methods of qualitative analysis of the dynamics and behavior of such systems and in the construction of efficient control algorithms for their efficient operation. The purpose of control to bring the system to a point of its phase space which corresponds to maximal or minimal value of the chosen efficiency criterion is reviewed and analyzed. The reasons for using Fuzzy Cognitive Maps (FCMs) in modeling Complex dynamic Systems are provided. The basics of FCMs are briefly presented. An illustrative example is considered and interesting results are presented and discussed

On driver behavior recognition for increased safety:A roadmap

Advanced Driver-Assistance Systems (ADASs) are used for increasing safety in the automotive domain, yet current ADASs notably operate without taking into account drivers’ states, e.g., whether she/he is emotionally apt to drive. In this paper, we first review the state-of-the-art of emotional and cognitive analysis for ADAS: we consider psychological models, the sensors needed for capturing physiological signals, and the typical algorithms used for human emotion classification. Our investigation highlights a lack of advanced Driver Monitoring Systems (DMSs) for ADASs, which could increase driving quality and security for both drivers and passengers. We then provide our view on a novel perception architecture for driver monitoring, built around the concept of Driver Complex State (DCS). DCS relies on multiple non-obtrusive sensors and Artificial Intelligence (AI) for uncovering the driver state and uses it to implement innovative Human–Machine Interface (HMI) functionalities. This concept will be implemented and validated in the recently EU-funded NextPerception project, which is briefly introduced

Context-aware Intelligent Model Selection System

After more than 40 years of research in computational decision support, model selection and management is still one of the most crucial problems. With organisations facing turbulences in an environment that include constant changes in social, political, technical and economic challenges, the selection of appropriate models for decision support has become even more difficult. Most research efforts do not consider model selection itself as a major aspect of research nor do they reflect on context awareness. The paper explores the early use of Artificial Intelligence (AI) techniques to improve model selection and reviews modern Intelligent Decision Support Systems (IDSS). Since model selection is a central problem for decision makers we specifically analyse research on model selection and identify important characteristics. Based on this analysis we suggest a framework and architecture for a Context-aware Intelligent Model Selection System (CIMSS). The paper concludes with further suggestions for future research

Synergizing Roadway Infrastructure Investment with Digital Infrastructure for Infrastructure-Based Connected Vehicle Applications: Review of Current Status and Future Directions

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The safety, mobility, environmental and economic benefits of Connected and Autonomous Vehicles (CAVs) are potentially dramatic. However, realization of these benefits largely hinges on the timely upgrading of the existing transportation system. CAVs must be enabled to send and receive data to and from other vehicles and drivers (V2V communication) and to and from infrastructure (V2I communication). Further, infrastructure and the transportation agencies that manage it must be able to collect, process, distribute and archive these data quickly, reliably, and securely. This paper focuses on current digital roadway infrastructure initiatives and highlights the importance of including digital infrastructure investment alongside more traditional infrastructure investment to keep up with the auto industry's push towards this real time communication and data processing capability. Agencies responsible for transportation infrastructure construction and management must collaborate, establishing national and international platforms to guide the planning, deployment and management of digital infrastructure in their jurisdictions. This will help create standardized interoperable national and international systems so that CAV technology is not deployed in a haphazard and uncoordinated manner

How to model and implement connections between physical and virtual models for digital twin application

Digital twin (DT) is a virtual mirror (representation) of a physical world or a system along its lifecycle. As for a complex discrete manufacturing system (DMS), it is a digital model for emulating or reproducing the functions or actions of a real manufacturing system by giving the system simulation information or directly driven by a real system with proper connections between the DT model and the real-world system. It is a key building block for smart factory and manufacturing under the Industry 4.0 paradigm. The key research question is how to effectively create a DT model during the design stage of a complex manufacturing system and to make it usable throughout the system's lifecycle such as the production stage. Given that there are some existing discussions on DT framework development, this paper focuses on the modeling methods for rapidly creating a virtual model and the connection implementation mechanism between a physical world production system at a workshop level and its mirrored virtual model. To reach above goals, in this paper, the discrete event system (DES) modeling theory is applied to the three-dimension DT model. First, for formally representing a manufacturing system and creating its virtual model, seven basic elements: controller, executor, processor, buffer, flowing entity, virtual service node and logistics path of a DMS have been identified and the concept of the logistics path network and the service cell is introduced to uniformly describe a manufacturing system. Second, for implementing interconnection and interaction, a new interconnection and data interaction mechanism between the physical system and its virtual model for through-life applications has been designed. With them, each service cell consists of seven elements and encapsulates input/output information and control logic. All the discrete cells are constructed and mapped onto different production-process-oriented digital manufacturing modules by integrating logical, geometric and data models. As a result, the virtual-physical connection is realized to form a DT model. The proposed virtual modeling method and the associated connection mechanism have been applied to a real-world workshop DT to demonstrate its practicality and usefulness