Model validation: matching data and structure to behavior through partial model calibration in Group Model Building setting

摘要

This paper presents a framework for model validation and calibration, while employing ERP systems' data and expert knowledge of Group Model Building sessions' participants. This framework was applied in the project for a staffing company, and I will use mini case studies from it to illustrate my approach. In order to build this model various sources of knowledge were used: statistical data, market reports, knowledge of company representatives obtained through interviews and group model building sessions, and system data stored in various IT systems. Combining those sources of information it is possible not only to get more knowledge about the system, but also validate and calibrate it. Based on this project experience and related literature some practical recommendations were developed and their applications demonstrated.