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.
