Ricardo A. Smith

Multi-Decision-Makers Equalizer: A Multiobjective Decision Support System for Multiple Decision-Makers

In this paper we present a decision support system that helps to solve multiobjective decision problems considering a multi decision-makers framework. By an iterative procedure this system looks for a single solution that satisfies all decision-makers equally. The negotiation process requires that each decision-maker trade certain benefits in some of the objectives being analyzed for benefits in others. Finally a compromise solution should be obtained.

A Rural Electrification Expansion Model

Abstract In Colombia, power companies with capacity greater than 100 MW pay royalties over gross sales for rural electrification programs. These contributions are collected by regional development corporations (RDC) with a jurisdiction over the area where the generation projects are located. To that end, the RDC need to define a plan for rural electrification in the regions. A mixed integer linear programming model was developed to define rural electrification programs for Colombian regions. In this model several objectives are considered. Objectives such as economic efficiency, minimum municipal electricity coverage, municipal electricity development priorities and some others are included in the model. The ϵ-constant multiobjective methodology is used to solve this problem in which the economic efficiency objective is used as the objective function and the other objectives are stated as constraints. In this case trade-off curves between objectives can be developed to show how much of one objective has to be sacrificed to improve the other objective. These trade-off curves are the main decision tool for decision makers. The proposed model is used to define a rural electrification program for a Colombian region. The trade-off curves show that the number of households covered with electricity diminish when, beside the economic efficiency objective, other objectives are considered. Some conclusions and recommendations are presented.

Probabilistic Trade-off Curves for Multipurpose Reservoir Operation in Colombia

Two multipurpose reservoirs will be incorporated to the colombian interconnected hydrothermal generation system in the near future. The first one, called Riogrande II, is expected to be in operation by the second half of 1993 and has as main purposes energy generation and water supply to the city of Medellin. The second one, called Urra I, is expected to be in operation by the year 1998 and has as main purposes energy generation, flood control and irrigation. Trade-off curves between purposes were developed for these reservoirs associating reliability values to each pair of purposes values. The resulting trade-off curves are probabilistic curves in the sense that each point of these curves has not only values of the two purposes but also their associated reliability values. A multiatribute value function is also introduced to define multipurpose reservoir operation. Some results, conclusions and recommendations are also presented.