7 resultados para Managing Plans of Natal

em Aston University Research Archive


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DEA literature continues apace but software has lagged behind. This session uses suitably selected data to present newly developed software which includes many of the most recent DEA models. The software enables the user to address a variety of issues not frequently found in existing DEA software such as: -Assessments under a variety of possible assumptions of returns to scale including NIRS and NDRS; -Scale elasticity computations; -Numerous Input/Output variables and truly unlimited number of assessment units (DMUs) -Panel data analysis -Analysis of categorical data (multiple categories) -Malmquist Index and its decompositions -Computations of Supper efficiency -Automated removal of super-efficient outliers under user-specified criteria; -Graphical presentation of results -Integrated statistical tests

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The Indian petroleum industry is passing through a very dynamic business environment due to the liberalisation of many government policies, vertical integration among organisations and the presence of multinational companies. This caused a competitive environment among the organisations in the Indian petroleum industry in the public sector. Effective project management for developing new infrastructures and maintaining the existing facilities has been considered one of the means for remaining competitive in this business environment. However, present project management practices suffer from many shortcomings, as time, cost and quality non-achievements are part and parcel of almost every project. This study focuses on identifying the issues in managing projects of the organisation in the Indian petroleum sector with the involvement of the executives in a workshop environment. This also suggests some remedial measures for resolving those issues through identifying critical success factors and enablers. The enablers not only resolve the present issues but also ensure superior performance. These are analysed in a quantitative framework to derive improvement measures in project management practices.

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Purpose – The purpose of this paper is to help managers to successfully plan, implement, and operate enterprise resource planning (ERP) projects using a risk management framework. Design/methodology/approach – This paper adopted a combined literature review and case study method. Using literature review, the paper first identified major issues of managing ERP projects and develops a risk management framework for managing those issues. The proposed risk management framework was then applied to a ERP implementation project of a UK-based energy services group and its effectiveness for managing ERP projects implementation had been demonstrated. Additionally, the risk factors as identified from the case application are compared with the risk factors from the previous researches so as to suggest mitigating measures. Findings – All the risk factors are categorized into planning, implementation and operations phases along with project processes, organizational transformation and information technology (IT) perspectives. Project implementation phase is the most vulnerable to failure. The case study results reveal that the effect of other projects on on-going ERP project, management of overall IT architecture and non-availability of resources for organizational transformation are most critical from likelihood and impact perspectives. Managing risk across various phases of project and equal emphasize to effective project management, organizational transformation and IT adoption are the key to success in ERP implementation. Practical implications – The risk factors, which were identified using literature review and the case study, have great significance as mitigating measures of those risks may result successful implementation of ERP projects in the industry. Additionally, proposed risk management framework could be customized to implement ERP projects elsewhere. Originality/value – ERP projects are risky as they are capital intensive, technically complex, and call for organizational transformation. There are both success and failure stories. However, both researchers and practitioners agree, that if it can be implemented and operated successfully and benefits should be achievable. Although there are many studies on ERP implementation, little has been discussed on managing risks of ERP projects. Therefore, this paper bridges the gap.

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Constructing and executing distributed systems that can adapt to their operating context in order to sustain provided services and the service qualities are complex tasks. Managing adaptation of multiple, interacting services is particularly difficult since these services tend to be distributed across the system, interdependent and sometimes tangled with other services. Furthermore, the exponential growth of the number of potential system configurations derived from the variabilities of each service need to be handled. Current practices of writing low-level reconfiguration scripts as part of the system code to handle run time adaptation are both error prone and time consuming and make adaptive systems difficult to validate and evolve. In this paper, we propose to combine model driven and aspect oriented techniques to better cope with the complexities of adaptive systems construction and execution, and to handle the problem of exponential growth of the number of possible configurations. Combining these techniques allows us to use high level domain abstractions, simplify the representation of variants and limit the problem pertaining to the combinatorial explosion of possible configurations. In our approach we also use models at runtime to generate the adaptation logic by comparing the current configuration of the system to a composed model representing the configuration we want to reach. © 2008 Springer-Verlag Berlin Heidelberg.

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In this article we envision factors and trends that shape the next generation of environmental monitoring systems. One key factor in this respect is the combined effect of end-user needs and the general development of IT services and their availability. Currently, an environmental (monitoring) system is assumed to be reactive. It delivers measurement data and computational results only if the user explicitly asks for it either by query or subscription. There is a temptation to automate this by simply pushing data to end-users. This, however, leads easily to an "advertisement strategy", where data is pushed to end-users regardless of users' needs. Under this strategy, the mere amount of received data obfuscates the individual messages; any "automatic" service, regardless of its fitness, overruns a system that requires the user's initiative. The foreseeable problem is that, unless there is no overall management, each new environmental service is going to compete for end-users' attention and, thus, inadvertently hinder the use of existing services. As the main contribution we investigate the nature of proactive environmental systems, and how they should be designed to avoid the aforementioned problem. We also discuss how semantics, participatory sensing, uncertainty management, and situational awareness link to proactive environmental systems. We illustrate our proposals with some real-life examples.

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OpenMI is a widely used standard allowing exchange of data between integrated models, which has mostly been applied to dynamic, deterministic models. Within the FP7 UncertWeb project we are developing mechanisms and tools to support the management of uncertainty in environmental models. In this paper we explore the integration of the UncertWeb framework with OpenMI, to assess the issues that arise when propagating uncertainty in OpenMI model compositions, and the degree of integration possible with UncertWeb tools. In particular we develop an uncertainty-enabled model for a simple Lotka-Volterra system with an interface conforming to the OpenMI standard, exploring uncertainty in the initial predator and prey levels, and the parameters of the model equations. We use the Elicitator tool developed within UncertWeb to identify the initial condition uncertainties, and show how these can be integrated, using UncertML, with simple Monte Carlo propagation mechanisms. The mediators we develop for OpenMI models are generic and produce standard Web services that expose the OpenMI models to a Web based framework. We discuss what further work is needed to allow a more complete system to be developed and show how this might be used practically.

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The role played by the Big Three credit rating agencies (Standard & Poor’s, Moody’s, and Fitch) in the creation of the recent Financial Crisis has been well documented, as too has their conduct in the aftermath of the Crisis where they contributed to the prolonging of the effects of the systemic breakdown. Also, with a string of record fines and cease-and-desist orders in the wake of the Crisis lending weight to the notion that the Big Three have no plans of performing any more ethically, there are a number of organisations that are endeavouring to provide a better alternative to the stranglehold of the Big Three. In the first instalment of the Viability of a Response series we were introduced to the International Non-Profit Credit Rating Agency who, through the amalgamation of forward-looking and non-profit ideals, intends to inject some much needed ethical consideration into the process of providing ratings that are crucial to the marketplace . In this edition of the series, we will be introduced to the Universal Credit Rating Group (UCRG) which is an alliance between Dagong Global Ratings, RusRating, and Egan-Jones Rating Company. We will start by learning more about this alliance that is due to come into effect in the next few years, and then the article will examine the reality of the situation to come to a conclusion on what the Group’s chances of success may be.