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)
Abstract:
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)
Abstract:
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)
Abstract:
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.
