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- A Fuzzy Logic model to enhance quality management on R&D unitsPublication . Abreu, António; Santos, Ricardo; Calado, João Manuel Ferreira; Requeijo, JoséNowadays, Higher Education Institutions (HEIs), are becoming even more competitive, with the public ones, facing at the same time a greater restriction on public funding. Therefore, HEIs, have to be more effective and more efficient as well, on pursuing their own goals, which includes Research and Development (R&D) units as well. Such demands can be achieved, by enhancing R&D`s global performance. Therefore, the use of a framework such as European Foundation for Quality Management (EFQM), can bring value to an organization with the characteristics of a R&D unit. This work presents a new integrated method based on EFQM model, by using Fuzzy Logic, to enhance the organizations overall performance. The applicability of the proposed approach is demonstrated by a case study in a R&D unit, where an initial performance evaluation takes place, by using RADAR`s Logic approach. The proposed method, based on Fuzzy Logic, is then applied, followed by the identification of the strength points as well as the improvement areas, according to the EFQM framework. Then, the improvement actions with high priority are determined, followed by the correspondent action measures.
- A framework based on fuzzy logic to manage risk in an open innovation contextPublication . Santos, Ricardo; Abreu, António; Calado, João Manuel Ferreira; Soares, José Miguel; Martins, José Duarte MoleiroVirtual enterprises (VE), is well-known to make use of open innovation to achieve competitiveness, through innovation on product development. However, its limited resources, combined with the innovation resulted from the diversity of partners involved, rises some challenges to its management, specifically regarded with risk management. To fulfill these requirements, risk management's models, have been conceived to assist managers, on preventing threats with such risks, although without adequately incorporate the influence of each process domain on product development, as well as the subjectivity regarding human perception. In order to consider these issues, this work presents an approach, supported by fuzzy logic, to assess the risk's level on product development in an open innovation context. The model robustness, will be assessed through a case study, where it will be also discussed the benefits and challenges found.
- An approach based on fuzzy logic, to improve quality management on research and development centersPublication . Santos, Ricardo; Abreu, António; Calado, João Manuel FerreiraNowadays, with globalization and with the development of emergent economies the Research and Development (R&D) Centres in Europe to survive need to achieve high levels of excellence. In this way, the use of a quality management tools, such as European Foundation for Quality Management (EFQM), can help the managers of such organizations to identify de best practices to enhance the efficiency and effectiveness. Hence, this paper presents a new approach to support managers of R&D centres in the decision-making process in achieving the aims mentioned above, which is based on the EFQM model integrated with Fuzzy Logic. The proposed approach was applied to a Portuguese R&D Centre to assess its overall performance. In order to evaluate the robustness of the proposed approach, the results achieved were compared with the results obtained through a traditional methodology based on RADAR’s Logic.
- A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystemsPublication . Santos, Ricardo; Abreu, António; Dias, Ana; Calado, João Manuel Ferreira; Anes, Vitor; Soares, JoséNowadays—and due to an increasingly competitive world—organizations need to collaborate in an open innovation context to be e_cient and e_ective by achieving high levels of innovation with their products and services. However, the existing resources—as well as the innovation achieved from the diversity of partners involved—brings challenges to the management; in particularly with risk management. To fulfill such needs, risk management frameworks have been created to support managers, on preventing threats with systems development, although without properly account the influence of each system component, on the entire system, as well as the subjectivity within human perception. To account for these issues, a framework supported by fuzzy logic is presented in this work, to evaluate the risk level on system development in open innovation environment. The approach robustness is assessed by using a case study, where the challenges and benefits found are discussed.
- A new risk assessment approach for agile projectsPublication . Anes, Vitor; Abreu, António; Santos, RicardoAgile is a successful project management mindset developed by the software industry which recently has been extrapolated for other industries. This mindset has been promoting the use and development of several tools that aim to minimize risks associated to the project output, i.e., in Agile the user requirements are the major priority and the risk associated to these requirements is strongly mitigated using tools like Scrum or Kanban. However, risk analysis in Agile projects has an implicit nature without well-defined and systematic methods. This feature was inherited from the software industry where this implicit approach works well, but for industries diferente from those that develop software it creates serious drawbacks. In fact, the risk associated to the project itself, or in other words, the risk associated to the Agile team capability to implement and manage a given project is not explicitly analyzed in Agile methods. Moreover, the Agile risk mitigation approach do not consider this important point of view in risk management. In this sense, important risk factors have been omitted, risk factors such as scope creep, unrealistic expectations, lack of cooperation, or lack of communication are some of these factors that have been overlooked despite their strong impact on Agile projects. This paper proposes a new approach to perform risk assessment and management of Agile projects. The approach comprises a set of qualitative risk tools inline with the Agile way of doing things, i.e., the proposed model does not jeopardize the flexibility found in Agile methods so appreciated by Agile team members, but at the same time, the proposed model introduces a systematic way of risk analysis which absence in Agile projects has been criticize in literature.