A UNIFIED FRAMEWORK FOR SITE SELECTION AND BUSINESS FORECASTING USING ANP  

A UNIFIED FRAMEWORK FOR SITE SELECTION AND BUSINESS FORECASTING USING ANP

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作  者:Enrique MU 

机构地区:[1]Katz Graduate School of Business,University of Pittsburgh,USA

出  处:《Journal of Systems Science and Systems Engineering》2006年第2期178-188,共11页系统科学与系统工程学报(英文版)

摘  要:This paper reports an on-going application of the Analytic Network Process (ANP) in the context of a non-profit organization: The Latin American Studies Association (LASA). This institution organizes a large international conference every eighteen months and needs to estimate conference attendance in advance (for logistic purposes) as well as selecting a host city where the combination of hotel infrastructure, conference costs, and so on, makes it a sound financial choice. In this paper, ANP will be used to: first, create a model to predict the relative number of attendees to the forthcoming 2009 LASA conference; and second, to create a Benefit-Cost-Risk (BCR) model to select the most suitable Latin American city as the conference site, This paper shows how the combination of these two ANP models, one for prediction and one for selection, can be used together for effective decision-making.This paper reports an on-going application of the Analytic Network Process (ANP) in the context of a non-profit organization: The Latin American Studies Association (LASA). This institution organizes a large international conference every eighteen months and needs to estimate conference attendance in advance (for logistic purposes) as well as selecting a host city where the combination of hotel infrastructure, conference costs, and so on, makes it a sound financial choice. In this paper, ANP will be used to: first, create a model to predict the relative number of attendees to the forthcoming 2009 LASA conference; and second, to create a Benefit-Cost-Risk (BCR) model to select the most suitable Latin American city as the conference site, This paper shows how the combination of these two ANP models, one for prediction and one for selection, can be used together for effective decision-making.

关 键 词:ANP AHE non-profit decision-making predictive models site selection 

分 类 号:N945.1[自然科学总论—系统科学]

 

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