WSC 2006 Abstracts

General Applications Track

Tuesday 10:30:00 AM 12:00:00 PM
General Applications

Chair: Scott Schultz (Mercer University)

Qualitative Simulation for Manager Selection Decision-Making Based on Managerial Self-Efficacy
Hu Bin and Dong Shengping (School of Management, Huazhong University of Science and Technology)

To explore the dynamics of managerial self-efficacy, a causality model is proposed based on the theory of Bandura's Self-efficacy and Human Resource Management. Furthermore, a qualitative simulation model is built and a simulation algorithm is designed. The simulation is achieved using Visual Basic 6.0. An example of application is illustrated. Simulation results show that the proposed method can be served as a decision making tool on manager selection for enterprise.

A Glass Float Line Simulation: Modeling Methodology and Applications
Scott R. Schultz (Mercer University)

A glass float line begins as a continuous process, liquid glass in a furnace, being pulled down a cooling conveyor in a continuous ribbon of glass. The process then becomes discrete as the ribbon is scored and broken into individual streams. Using some insight, a simulation model is developed that is strictly discrete. Four applications of the model are presented. The first demonstrates how the model assists with the day to day operation of the float line. A second application looks at modifying the control rules which sequence and schedule the glass production. The final two applications show how the model is used to study design alternatives for a future float line.

Applying Parallel, Dynamic-Resolution Simulations to Accelerate VLSI Power Estimation
Dhananjai M Rao (Miami University) and Philip A Wilsey (University of Cincinnati)

High resolution models of logic circuits need to be used in simulations to accurately track logic transitions or glitches, which contribute to the most dominant portion of VLSI power dissipated. Unfortunately, simulating large, high resolution models is a time consuming task. Although more abstract models that simulate faster can be used, they are less accurate as details of glitching activity are absent. This study proposes an alternatively approach that dynamically (i.e., during simulation) changes the resolution of a model to strike a better balance between accuracy and performance. Simulation-time resolution changes are performed using a novel methodology called Dynamic Component Substitution (DCS). This paper presents the issues involved in applying DCS to accelerate parallel power simulations of digital logic circuits. The experiments indicate that the proposed strategy can increase performance by 3x with negligible deviations in power estimates but consuming about 2x more memory.

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