Social Analytics in an Enterprise Context: From Manufacturing to Software Development

Although customers become more and more vocal in expressing their experiences, demands and needs in various social networks, companies of any size typically fail to effectively gain insights from such social data and to eventually catch the market realm. This paper introduces the Anlzer analytics engine that aims at leveraging the "social" data deluge to help companies in their quest for deeper understanding of their products' perceptions as well as of the emerging trends in order to early embed them into their product design phase. The proposed approach brings together polarity detection and trend analysis techniques as presented in the architecture and demonstrated through a simple walkthrough in the Anlzer solution. The Anlzer implementation is by design domain-independent and is being tested in the furniture domain at the moment, yet it brings significant added value to software design and development, as well, through its experimentation playground that may provide indirect feedback on future software features while monitoring the reactions to existing releases

Open innovation in public management: analysis of the Brazilian action plan for Open Government Partnership

Este estudo objetivou analisar o Plano de Ação brasileiro para o Governo Aberto, baseado na teoria da inovação aberta na gestão pública. Utilizou-se de uma pesquisa documental, com vistas a aprofundar o conhecimento do fenômeno em questão. O documento foi escolhido intencionalmente, por ser exemplo basilar das políticas públicas relacionadas à inovação aberta brasileira. Os resultados mostram que os compromissos firmados pelo governo brasileiro estão consoantes com o processo de inovação aberta pública. As ações previstas no Plano estão especificamente relacionadas a transparência, abertura de dados e preparação do corpo estatal para o processo aberto de inovação. _________________________________________________________________________________________ RESUMEN: Este estudio tuvo como objetivo analizar el Plan de Acción de Brasil para el Gobierno Abierto con base en la teoría de la innovación abierta en la gestión pública. Se utilizó una investigación documental, con el fin de profundizar el conocimiento en el fenómeno en cuestión. El documento fue elegido intencionadamente porque es fundamental para las políticas públicas relacionadas con la innovación abierta brasileña. Los resultados muestran que los compromisos asumidos por el gobierno brasileño son compatibles con el proceso de innovación abierta pública. En concreto, las acciones contenidas en el plan están relacionados con la transparencia, los datos abiertos y preparación de la estructura de gobierno para el proceso abierto de innovación. _________________________________________________________________________________________ ABSTRACT: This study aims to analyze the Brazilian action plan for Open Government, based on the theory of open innovation in public management. Documentary research was used, in order to deepen of the knowledge the phenomenon being discussed . The document was intentionally chosen because it is essential for public policies related to Brazilian open innovation The results show that the commitments made by the Brazilian government are compatible with the public open innovation process. The actions in the Plan are related specifically to transparency, open data and preparation of the governance body for the open innovation process

Dynamic Manufacturing Networks Monitoring and Governance

Part VI: Services, Supply Chains and OperationsInternational audience“Monitoring and Governance” is the most important phase of every Dynamic Manufacturing Network (DMN) lifecycle and aims at managing and controlling in a continuous way the operations of the network, resulting either in “small and corrective” actions towards the network’s operation optimisation or to “larger and structural” changes, which are fed back to the initial phases of the network’s lifecycle, for reconstructing the network towards better results. The study at hand aims to review current approaches for controlling and monitoring plant operation or traditional supply chains, and to examine thereby their maturity and adequacy for the management and monitoring of dynamic manufacturing networks, leading to useful conclusions with regard to the requirements and challenges encountered in this particular phase of the DMN lifecycle

Benefits and Risks in Dynamic Manufacturing Networks

Part VI: Services, Supply Chains and OperationsInternational audienceMore and more manufacturing enterprises realize that, by operating as single enterprises in traditional supply chains, they cannot cope with the challenges of the modern demanding environment, and that they need to adopt new and innovative strategies in order to remain competitive. The establishment of Dynamic Manufacturing Networks (DMNs) brings together various innovations, such as just-in-time delivery, flexible manufacturing, organizational streamlining, and total quality, and emerges therefore as an advanced reaction of collaborating enterprises to the constantly changing business environment and its characteristics. This paper aims to expose the benefits and risks involved in such networks, and create thereby the foundation for elaborating further on the key factors that could be utilized for attracting organizations and enterprises into embracing the vision of DMNs, supporting thus not only industrial organizations and practitioners interested in implementing such solutions, but also scholars and researchers who study these new forms of business

Leveraging Graph Analytics for Energy Efficiency Certificates

As energy efficiency is becoming a subject of utter importance in today’s societies, the European Union and a vast number of organizations have put a lot of focus on it. As a result, huge amounts of data are generated at an unprecedented rate. After thorough analysis and exploration, these data could provide a variety of solutions and optimizations regarding the energy efficiency subject. However, all the potential solutions that could derive from the aforementioned procedures still remain untapped due to the fact that these data are yet fragmented and highly sophisticated. In this paper, we propose an architecture for a Reasoning Engine, a mechanism that provides intelligent querying, insights and search capabilities, by leveraging technologies that will be described below. The proposed architecture has been developed in the context of the H2020 project called MATRYCS. In this paper, the reasons that resulted from the need of efficient ways of querying and analyzing the large amounts of data are firstly explained. Subsequently, several use cases, where related technologies were used to address real-world challenges, are presented. The main focus, however, is put in the detailed presentation of our Reasoning Engine’s implementation steps. Lastly, the outcome of our work is demonstrated, showcasing the derived results and the optimizations that have been implemented

NeXCLass: A DECISION SUPPORT SYSTEM FOR NON-ORDERED MULTICRITERIA CLASSIFICATION

This paper presents NexClass, a Decision Support System (DSS) which supports classification of alternatives into predefined non-ordered categories according to their performance on evaluation criteria and implements a novel classification algorithm based on multicriteria analysis and outranking relations. More detailed, assignment to classes is based on the concept of non-exclusivity, which defines at what degree an alternative can be included in a specific category. For each category, a threshold is defined by the decision maker, which indicates its limit with respect to the evaluation criteria. Alternatives are next evaluated according to the criteria and non-excluding degrees are calculated for each category. Finally, an alternative is assigned to the category for which non-excluding degree gets the lowest value. NexClass DSS implements the above classification algorithm, providing a user-friendly interface, which supports decision makers to formulate and solve classification problems. In addition to the methodology and the DSS, we present a real world application at a classification problem in banking environment. Our findings derived from evaluation experiments in the banking environment provide valid evidence that the proposed methodology and the DSS effectively support decision makers in classification decisions.Multicriteria decision analysis, nominal classification, decision support systems

Multiple objectives in portfolio construction

In this article we attempt to expand the limited framework of single-objective optimisation and broaden Markowitz's market standard, within which the problem of portfolio selection is conventionally addressed. The decision maker's Investment Policy Statement (IPS) is formulated through a multiobjective mixed-integer linear programming model. The model is then solved through the augmented e-constrained (AUGMECON) method, a novel a posteriori Multiobjective Mathematical Programming (MMP) technique. Our purpose for transforming the traditional two-dimension portfolio selection problem into a mixed-integer multiobjective optimisation problem in space is twofold: 1) to incorporate three objective functions in the decision process beyond the mean-variance approach, i.e., an additional measure of return, the portfolio's relative dividend yield, 2) to model even the most complex preferences that the investor may express, regarding specific cardinal constraints. The proposed model is tested through an illustrative application in the Athens Stock Exchange (ASE).portfolio construction; multiobjective mathematical programming; MMP; equities; portfolio selection; investment policy statement; mixed-integer linear programming; MILP; Athens Stock Exchange; Greece.