Integrated Component-Based Simulation and Analysis of Depot Shop Processes

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F34601-02-C-0256
Agency Tracking Number: 021XP-1598
Amount: $99,382.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
Aetion Technologies Llc
93 East Riverglen Drive, Worthington, OH, 43085
Duns: 158053434
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mark Carroll
 Chief Information Officer
 (614) 882-2445
Business Contact
 Tom Slavin
Title: President
Phone: (614) 486-1498
Research Institution
"Aetion Technologies LLC will study the feasibility of applying its SFV decision-support technology to modeling, Monte Carlo simulation, and analysis of depot shop processes. The project will assess whether SFV can be used to model heterogeneous depot shopelements and systems with multiple states at multiple levels of resolution, and to simulate the flow of items through them. By running many simulations in parallel and also by varying elements of the situation we perform Monte Carlo simulations and alsoallow for the identification of worthwhile improvements and serious vulnerabilities in the process being modeled. The technical and scientific merit of applying SFV technology to this problem will be evaluated by using Generic Task methodology to analyzethe information-processing requirements of the task, by rapid prototyping to demonstrate capability and gain feedback, and by assessing the technical practicality of extending Aetion's existing code base to meet the needs of this task. If SFV can besuccessfully applied to this problem, there is a high likelihood that it can be successfully applied to a broader range of process modeling problems and, indeed, to a broader range of multiple criteria decision making problems, thus providing a path forsuccessful commercialization of the SFV technology. Aetion's technology will enable people to make better decisions, more confidently, because they will have a greater understanding of the rang

* information listed above is at the time of submission.

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