Reusing Relational Queries for Intuitive Decision Optimization

— Decision optimization is used in many applications such as those for finding the best course of action in emergencies. However, optimization solutions require considerable mathematical expertise and effort to generate effective models. On the other hand, reporting applications over databases are more intuitive and have long been established using the mature database query technology. A decision optimization problem can be viewed as an “inverse” of the reporting problem. For example, a report may tell the total cost of a certain supply chain given the various sourcing and transportation options used; the corresponding optimization problem can be to select among all possible sourcing and transportation options to minimize the total cost. Reusing existing reporting queries for decision optimization will achieve the dual goals of taking advantage of past investments and of making decision optimization more intuitive. To realize these goals, this paper addresses two related technic...

• Type: Journal
• Year: 2011
• Where: HICSS
• Authors: Alexander Brodsky, Nathan E. Egge, Xiaoyang Sean Wang
• Keywords: Biometrics, Decision Optimization, Decision Optimization Problem, HICSS 2011, Optimization Problem