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Engineering Management Conference, 2008. IEMC Europe 2008. IEEE International

Date 28-30 June 2008

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  • 2008 IEEE international engineering management conference, Europe

    Publication Year: 2008 , Page(s): 1
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  • IEMC Europe 2008 Managing engineering, technology and innovation for growth: An introduction

    Publication Year: 2008 , Page(s): 1 - 4
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  • IEMC-Europe 2008 Committees

    Publication Year: 2008 , Page(s): 1
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  • IEEE technology management council

    Publication Year: 2008 , Page(s): 1
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  • IEMC Europe 2008 - Sponsors

    Publication Year: 2008 , Page(s): 1
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  • Acknowledgment

    Publication Year: 2008 , Page(s): 1
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  • Technology management council

    Publication Year: 2008 , Page(s): 1
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  • Message from the General Chair

    Publication Year: 2008 , Page(s): 1
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  • IEMC Europe 2008 best paper awards

    Publication Year: 2008 , Page(s): 1
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  • List of papers by topic

    Publication Year: 2008 , Page(s): 1 - 7
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  • A two-phase decision support approach for the selection of load control actions

    Publication Year: 2008 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (340 KB) |  | HTML iconHTML  

    A two-phase approach to provide decision support in the design and selection of load control actions in electricity networks is described. The first phase consists in the use of a multiple objective genetic algorithm, coupled with physically-based load models, for the design and selection of a set of potential non-dominated solutions (load control actions). The second phase performs the selection of the control action, to be implemented over groups of electrical loads, based on the analysis of indifference regions associated to each alternative in a parametric diagram. View full abstract»

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  • A framework for multi-parametric programming and control — an overview

    Publication Year: 2008 , Page(s): 1 - 5
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (357 KB) |  | HTML iconHTML  

    In this paper we present an overview of the recent developments in multi-parametric programming and its specific use for control. An unifying optimisation framework to solve general multi-parametric programming problems is described, with special focus given to the important class of model predictive control problems. View full abstract»

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  • Combination of analytic network process and Bayesian Network model for Multi-Criteria Engineering Decision problems

    Publication Year: 2008 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (792 KB) |  | HTML iconHTML  

    This paper deals with multi criteria decision analysis in an engineering area (info-communication networks) by combining two effective mathematical modelling tools: analytic hierarchy process and Bayesian network. An extension of Bayesian network is introduced, this vector Bayesian network is able to calculate the effects of the node faults in info-communication networks on different errors occurred at end users. We have developed a method combining expert knowledge and probabilistic theory to analyse fault spreading problem. A numerical example of network problem is worked out in order to certify our theoretical conception. View full abstract»

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  • Ranking alternatives in collective decision making with imprecise information

    Publication Year: 2008 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (318 KB) |  | HTML iconHTML  

    In this paper we propose a procedure for multicriteria collective decision-making problems. It is especially suitable for situations in which each member of a group offers imprecise information on his/her preferences about the relative importance of the criteria that have to be taken into account to obtain a ranking of a set of alternatives. In a first step the partial information on criteria weights provided by each individual is transformed into ordinal information on alternatives, and then the aggregation of individual preferences is addressed within a distance-based framework. View full abstract»

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  • Enhancement of Multi-Criteria Analysis within Analytical Strategic Environmental Assessment

    Publication Year: 2008 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (313 KB) |  | HTML iconHTML  

    The Analytical Strategic Environmental Assessment (ANSEA) is a relatively new tool that targets to manage the ongoing shortfalls and infeasibilities especially in strategic decision-making levels of SEA process. The ANSEA incorporates the phase of Multi-Criteria Analysis (MCA) into the assessment scheme in order to perform more sensitive approach to the real decision-making context in environmental planning & management. This paper proposes an approach based on Fuzzy Axiomatic Design (FAD) to assign suitable MCA technique during execution process of ANSEA. The proposed decision aid mechanism is expected to ensure additional contributions for enhancing the current ANSEA procedure in practice. View full abstract»

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  • Key quality dimensions from the customer’s point of view: a case study in two Portuguese hotels

    Publication Year: 2008 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (347 KB) |  | HTML iconHTML  

    This paper analyses the strengths and weaknesses of the critical incident technique (CIT) when applied as a tool to identify the key quality dimensions to be used as criteria to generate and evaluate intervention strategies. Using CIT, a total of 679 incidents were gathered from two Portuguese hotels, regarding satisfying or dissatisfying episodes with the provided service. The incidents were categorized and the service quality dimensions identified. The scores reflecting the extent to which the quality dimensions are achieved are useful to establish and prioritize improvement actions. View full abstract»

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  • Software packages for multi-criteria resource allocation

    Publication Year: 2008 , Page(s): 1 - 6
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (752 KB) |  | HTML iconHTML  

    In this paper four commercial software packages for multi-criteria resource allocation are analyzed: Equity, HiPriority, Logical Decisions Portfolio and Expert Choice Resource Aligner. The key technical distinction concerns the type of resource allocation procedure used: Equity uses the benefit-to-cost ratio approach, HiPriority also uses the benefit-to-cost ratio approach and an exhaustive enumeration approach, whereas Logical Decisions Portfolio and Expert Choice Resource Aligner use a mathematical programming approach. View full abstract»

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  • The effects of data mining techniques on software cost estimation

    Publication Year: 2008 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (356 KB) |  | HTML iconHTML  

    Current research at JPL incorporates data mining and machine learning techniques to see whether a better software cost model can be developed. 2CEE is a tool developed for developing new software cost estimation models using data mining techniques. The accuracy of these models has been validated internally through leave-one out cross validation. However, the newly generated models have not been validated to see how well they predict in the real world. Our study seeks to find out how well these machine learning based models perform against standard models for eighteen new flight and ground software projects. The accurate performance of the models against current real world projects is extremely important for practitioners to adapt new techniques. View full abstract»

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  • Growth, energy technologies and evaluation context of scenarios: methodological considerations illustrated to the Corsican insular region

    Publication Year: 2008 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (314 KB) |  | HTML iconHTML  

    The purpose of this paper is to analyze in time the dimensioning of the electric supply, in relation to a growth of the energy demand supported by a regional economic growth. In France, Corsicapsilas island constitutes a specific case of study, from its statute of area not inter-connected with the electrical network of the metropolis. First of all, we will distinguish the principal technological innovations from production and consumption equipments, which are planned by the Corsicapsilas territorial collectivity. Then, will be studied alternative scenarios, in order to consider other energy futures of the island. Finally, these various options will insert into the methodological framework of multicriteria evaluation, and aid to decision of public policies. View full abstract»

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  • An integrated market simulation model for the design of new products

    Publication Year: 2008 , Page(s): 1 - 5
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (341 KB) |  | HTML iconHTML  

    Market simulators assist managers in product design and pricing decisions, through advanced heuristic algorithms for consumer buying behavior modeling. We propose a model for use in such systems, which combines the effective incorporation of the two critical properties a simulator should theoretically reflects, with exceptionally performance in actual choice shares estimation. Differential Impact and Substitution are exhibited through the representation of customer heterogeneity and product similarity in the choice rule, while high predictive accuracy is displayed with the implementation of the Stochastic Logarithmic Search algorithm. View full abstract»

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  • Gas storage valuation: Comparison of recombining trees and Least Squares Monte-Carlo simulation

    Publication Year: 2008 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (316 KB) |  | HTML iconHTML  

    In this paper two approaches for natural gas storage valuation are compared. Whereas the first approach uses recombining trees and the dynamic programming principle the second one uses Least Squares Monte Carlo simulation to compute the optimal storage value and strategy. Both methodologies rely on simulated spot prices. In a first step, therefore the deterministic impacts on the historic natural gas price are determined. The results are then used to simulate appropriate natural gas prices. Whereas the results of these simulation runs are clustered to be applied by the recombining tree valuation, the unclustered simulation results are used to calculate the optimal storage schedule and value via Least Squares Monte Carlo simulation. Applying both approaches on a German case study, the methodologies are compared concerning valuation results, valuation speed and discretization sensitivity. View full abstract»

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  • An empirical IT contingency planning model for disaster recovery strategy selection

    Publication Year: 2008 , Page(s): 1 - 5
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (604 KB) |  | HTML iconHTML  

    In todaypsilas banking industry, 24 times 365 hours of service availability is of utmost importance to gaining competitive advantage. Proper IT contingency planning (ITCP) for disaster recovery (DR) insures business continuity and optimizes investment. This research investigates fundamental requirements of each banking business unit for mapping criticality of business continuity to DR readiness. The process assesses the recovery time objective (RTO) and the recovery point objective (RPO) to assure business continuity within a maximum tolerable period of disruption (MTPD). The ITCP model serves as decision-support standards and rationale for choosing the most appropriate disaster recovery solution for differing business unit requirements. View full abstract»

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  • New product evaluation in telecommunications

    Publication Year: 2008 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (305 KB) |  | HTML iconHTML  

    Intense competition has forced the telecommunications industry to continuously develop and deliver new products to market. The key factor in selecting successful products is a comprehensive upfront evaluation of the productpsilas economic viability. This paper introduces a structured methodology to evaluating telecommunication NPIs. The methodology introduces key decision criteria for evaluating the new productpsilas viability based on economic indicators and non-economic selection criteria focused on the business ecosystem within which the new product is being offered. Additionally, sensitivity analysis of input variables is introduced to facilitate evaluation of critical variables and mitigating the associated risks. Though this paper is targeted at the evaluation and analysis of Telecommunication NPIs, the evaluation framework can be applied to any high technology industry. View full abstract»

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  • A rating approach to the solutions of Istanbul traffic

    Publication Year: 2008 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (341 KB) |  | HTML iconHTML  

    Istanbul, the biggest city in Turkey and the sixth most-populated city in the World, has been dealing with enormous traffic problems for over two decades. Studies and projects are continuously developed, but these efforts have either been temporary solutions or not been adequate in order to solve the problem because of numerous reasons such as unplanned expansion, increasing number of population, etc... In this paper, a number of solutions have been developed and evaluated using a special type of a multi-criteria decision making method: analytical hierarchy process, rating method. This method is widely used in especially group decision making especially in public decisions. View full abstract»

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  • About decentralized multilevel systems: A new system’s approach

    Publication Year: 2008 , Page(s): 1 - 11
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (517 KB) |  | HTML iconHTML  

    A new approach is proposed for a coordination model with multiple levels. This paper explains how to obtain, decisions related with hierarchical decentralized units, through decision making, which results in a set of input/output processes that characterize a process industry. In this approach, the best global results are obtained using multicriterion decision aid methods instead of mathematical programming. View full abstract»

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