The Use of Decision Models in the Development of a Collaborative Integrated Solutions System – YR1 UA03-AFRL2

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The Use of Decision Models in the Development of a Collaborative Integrated Solutions System – YR1 UA03-AFRL2

This project formulates a scorecard to identify performance measures to investigate scheduling activites and evaluate perspectives.

Sponsor:

Air Force Research Laboratory

Research Team:

Heather L. Machtmann, Justin Hunter, Bryan Hill, David Rieske, Terry R. Collins

Universities Involved:

University of Arkansas

Start Date:

11/14/02

End Date:

12/31/03

Summary:

The objective of this project is to formulate a balanced scorecard (BSC) to identify a set of mission critical performance measures that will not only evaluate existing balanced scorecard perspectives, but will investigate other metrics related to flightline scheduling activities
The Air Force has identified a need to have a more integrated decision-making process in place to improve the overall performance of aircraft scheduling. Currently decisions are made using available information and without analysis of possible ramifications due to inherent trade-offs within the system. It is proposed that a method be developed such that schedulers would work in a collaborative environment and function more interdependently. More appropriate decision-making tools that foster and encourage this collaborative effort would improve the effectiveness of the overall logistics system. It is purposed that a modified balanced scorecard (BSC) be used to identify a set of mission critical performance measures that will not only evaluate existing balanced scorecard perspectives, but will investigate other metrics related to flight-line scheduling activities. The critical measures will be selected from a set of categorized “family of measures” that will be identified in the study. To address the trade-off issues within the integrated logistics system, Multi-attribute Utility Theory will be used to model the effects of sensitivity across the BSC performance measures. Finally, a collaborative decision making tool will be developed to assist schedulers in the ability to simultaneously measure performance and address trade-offs. The tool will require collaborative efforts across the entire integrated logistics system providing input specific to selected performance measures.