9415105 Ioannou This research presents the modeling language and overall structure for an object-oriented simulation system for construction with a dynamic decision-making inference engine. At the center of the system is a new programming language for simulation modeling. This language will be able to directly model uncertainty in any process variable and not just time (e.g., material quantities required, resources produced, distance traveled, equipment productivity, cost, etc.) It will eliminate the need for data pre-processing and the post-processing of simulation results before management decision can be made. It will allow conditional (derived) distributions for the duration of activities based on the current state of the system and the availability and type of resources (resource-driven simulation). It will also allow modeling bulk and characterizable resources with resource tracking. Resource consumption and generation as well as the routing of resources (resource flow) will be able to be modeled as stochastic processes. In order to model real-life decision making, resource flow will also be able to be modeled dynamically based on the qtate of the system by using a user-defined value-system.

Project Start
Project End
Budget Start
1995-03-01
Budget End
1999-02-28
Support Year
Fiscal Year
1994
Total Cost
$150,000
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109