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2005
Conference Paper
Titel
Information acquisition for model based analysis of large logistics networks
Abstract
Bases of each efficient analysis of Large Logistics Networks are valid input data in the right quality, quantity and granularity. Considering these demands a goal and task oriented information acquisition by using several techniques of data acquisition, statistics and visualization is needed. This article gives an overview of current research results including theoretical definitions of terms like information, data, knowledge, a process oriented procedure model for information acquisition as well as different taxonomies of methods from data acquisition, statistics and visualization and their utilization. Finally, the article presents prospects of future research with the focus on the utilization of the information acquisition procedure model in applications.