Palavras chave: Gerenciamento de projetos. Gerenciamento ágil de projetos. Gerenciamento híbrido. Modelos Híbridos de Gestão. Ferramenta para desenvolvimento de modelos híbridos x ABSTRACT BIANCHI, M. J. A Tool for configuring hybrid project management models. 2017. 210f.

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The combination of agile and traditional practices is important for greater innovation in New Product Development (NPD). This paper analyzes ten combination proposals found in the literature, using the systematic bibliographical review method. Four of them did not show features associated with the combination. Four proposals recommend using agile project management associated with NPD process. Two proposals recommend using a general project plan, prepared through Work Breakdown Structure, scheduling, and integrated with agile iteration planning. The evaluation of these proposals indicated a shortage of recommendations and revealed two classes of combination strategies, namely bottom up and top down.

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PurposeWhile agile methods have been adapted to different industries, agility depends on the alignment between the practices and project environment. Nevertheless, it is unlikely to find the best combination without a diagnosis of these variables. This paper proposes a project management agility diagnostic tool (PM/ADT), aimed at diagnosing the project environment, management practices and agility performance to find the right balance between them.Design/methodology/approachThe tool was developed by combining multiple techniques during a three-year research program, including an extensive systematic literature review, exploratory case studies, a survey and three case studies involving 25 projects from information and communications technology, software development and technology-based companies.FindingsThe results indicate potential discrepancies between environmental factors, management practices and agility performance that affect project management in organizations, allowing the diagnosis and analysis of the situation for the development of better management solutions.Research limitations/implicationsThe study reinforces the hypothesis that it may not be possible to adopt pure agile models or methods in most projects, except in specific cases, as with some projects in the software industry. This is in line with the hybrid models. However, further testing is needed with a larger sample of projects and organizations.Practical implicationsThe tool can be useful to assess different types of projects from different industry sectors to improve the management process, allowing the development of agility beyond the software industry.Originality/valueThe article discusses agility beyond measurement, assessing the most appropriate environment for using practices from one approach or another.

Abstract:Currently there are different approaches to project management such as agile and warterfall ones. One way to improve management is by selecting practices that are more favorable to each project and there are diagnostic tools that seek to characterize projects and facilitate this adaptation. The objective of this research is to comprehend the diagnosis process of the project management practices utilized by an enterprise of the Brazilian automotive sector, contrasting with the recommendations found in the literature. The study presents three cases of visual project management practices adaptation, from agile management, in distinct areas of the same company, leader in the auto parts sector. It is described how the professionals of the company identified their needs of visual management and how they proceeded in the implantation. It was identified the absence of a systematic process for the project management practices diagnosis, and the barriers and challenges faced. Good practices are also identified, such as the use of other diagnostic tools and the involvement of the whole team in the definition and elaboration of visual management boards.

In the oil industry, most of the reservoir studies are routinely run using commercial reservoir simulators developed about 30 years ago. These simulators were conceived for serial computers, logically structured grid with moderate permeability contrasts and moderate physical complexity; parallel computing only came in later stages. This is crucial during the reservoir model construction: computational time prevents real-life simulation grids from hosting more than one or two millions of active cells thus, grid coarsening and property upscaling still play a key role. Often, this acts as a hard constraint in EOR/IOR simulation which usually demands increasing accuracy to resolve heterogeneity and structure complexity. In the last decade many reservoir simulators have been specifically developed for parallel architectures, adopting flexible formulations and more robust linear solvers. This provides opportunity to drastically speed-up reservoir simulations, handling large models without upscaling. The next step is to use new simulators as enablers to unlock accurate high resolution models. In this framework, the Company is implementing a step-change in reservoir simulation, deploying a new generation high-resolution simulator for the most critical and complex assets. At the same time, the Company put into operation a 4 Pflop/s High Performance Computing (HPC) system to more effectively support exploration and reservoir activities. This paper documents a study carried out to highlight the benefits to reservoir modeling attained combining the high-resolution reservoir simulator and the top-class HPC facility. Main target of the study was to provide indications about the size of the models that these new technologies allow to manage in real-life applications, where model complexity may be due to geology, number of wells or field development schemes and physical processes. For this purpose, two case-studies were selected, namely a brown and a green field. The brown field is a gas-condensate carbonate reservoir with 30 years of history and 25 years of forecast, both periods characterized by large number of wells and a mix of primary depletion and gas injection. The green field, instead, is a very heterogeneous, faulted, undersaturated oil reservoir with a 15-years development plan based on water flooding. Several reservoir models, from millions to hundreds of millions active cells, were built and simulated in different parallel configurations. The components of the work-flow, modeling packages, simulator and HPC configurations, were stretched to run large scale models within typical reservoir study time-scales, where simulations are expected to last less than one day. The models were deliberately chosen to be larger and more complex than those currently used operationally with the purpose of identifying potential limitations imposed by hardware and software which may impact future generations of simulation models, thus ensuring that the simulator development, model development and hardware requirements are aligned. The present work indicated that models with tens of millions of cells can now be easily simulated by combining HPC systems and high-resolution reservoir simulators. However, moving Giga-cell reservoir models from papers to engineer's desk will require further improvements in simulation technology, with emphasis on scalability and optimal management of multi-core architectures.

This article seeks to trace a history of Team X's experimentations on the issue of housing for the great number and more specifically around the theoretical background leading to the question of impermanence and indeterminacy in the architectural process. Through the writings of the Smithsons, Oskar Hansen, or John Voelcker, a theoretical framework will be defined and then put into perspective in a contemporary context. Two case studies will be discussed: Lacaton & Vassal, and Elemental. Connections will be made on the issue of indeterminacy and the concepts of "open structure" and "open aesthetics" will be promoted. These concepts presented here offer an alternative for some other possible formal developments around the question of indeterminacy. We will assess whether the pragmatism of these two contemporary architectural offices allow their proposals, beyond responding to specific situations, to claim the status of a reproducible model, such as one imagined during the 1960s.