| Summary: | 碩士 === 輔仁大學 === 資訊管理學系 === 91 === This study presents a framework of GIS-based decision support system (GDSS) for interactively selecting temporary emergency stations, allocating medical resources to each station, and then delivering the wounded to each station. Based on the proposed decisions, a 0-1 mixed integer linear programming model is formulated as the basis of the GDSS and whose multiple objectives are to minimize the total weighted delivery time, the maximal lateness time, etc. Due to the complexity of the proposed model, the analytic hierarchy process (AHP), knowledge management system (KMS) and a data warehouse are used interactively to determine the weight of each criterion and multiple objectives are then transformed into a single objective. Further, for small-sized problems, optimal solutions can be obtained in a short time by any famous business software such as Lindo or Lingo in the GDSS. For large-sized problems, a heuristic algorithm is developed for obtaining a good enough solution and compared to its lower bound of the optimal solution. According to the empirical results, the heuristic algorithm performs well. All required data may be obtained from multi-dimensional data warehouse, on-line geographical information system, KMS, any other business web sites, etc. Any unstructured medical or emergency knowledge in KMS can be used for setting up any constraint in the decision model.
Finally, a prototype system of GDSS is presented in this study. “What-if” and managerial analyses are also given in the system for planing emergency rescue of the wounded by using limited medical resources and selecting the emergency station locations in disaster relief operations. Similar applications in business and their meaningful results will be found in future research works.
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