In this paper, we discuss implementation issues of applying a simulation-based approach to asemiconductor fab-level decision making problem. The fab-level decision making problem isformulated as a Markov Decision Process (MDP). We intend to use a simulation-based approach sinceit can break the "curse of dimensionality" and the "curse of modeling" for an MDP with largestate and control spaces. We focus on how to parameterize the state space and the control space
This paper describes an analysis performed to assess the fidelity, scalability, and performance of t...
The creation of large-scale simulation models is a difficult and time-consuming task. Yet simulation...
Although a number of approaches have been developed to schedule tasks or jobs in many different manu...
Problems of sequential decision making under uncertainty are common inmanufacturing, computer and co...
Semiconductor manufacturing is one of the most complex industries in terms of technology and manufac...
A manufacturing system characterized by its stochastic nature, is defined by both qualitative and qu...
In this paper, we give a summary of recent development of simulation-based algorithmsfor average cos...
In this paper, we propose an approximate policy iteration (API) algorithm for asemiconductor fab-lev...
Semiconductor fabrication facilities face many challenges through the many phases of their life cycl...
Guided by Little’s law, decision and control models for operations in reentrant line manufacturing (...
In this paper, we propose an approximate policy iteration (API) algorithm for a semiconduc-tor fab-l...
Discrete-event simulation is a well-established and rather successful method in some semiconductor c...
Markov decision process (MDP) models are widely used for modeling sequential decision-making problem...
This paper discusses simulation design and analysis for Silicon Carbide (SiC) manufacturing operatio...
This dissertation proposes multiple methods to improve processes and make better decisions in manufa...
This paper describes an analysis performed to assess the fidelity, scalability, and performance of t...
The creation of large-scale simulation models is a difficult and time-consuming task. Yet simulation...
Although a number of approaches have been developed to schedule tasks or jobs in many different manu...
Problems of sequential decision making under uncertainty are common inmanufacturing, computer and co...
Semiconductor manufacturing is one of the most complex industries in terms of technology and manufac...
A manufacturing system characterized by its stochastic nature, is defined by both qualitative and qu...
In this paper, we give a summary of recent development of simulation-based algorithmsfor average cos...
In this paper, we propose an approximate policy iteration (API) algorithm for asemiconductor fab-lev...
Semiconductor fabrication facilities face many challenges through the many phases of their life cycl...
Guided by Little’s law, decision and control models for operations in reentrant line manufacturing (...
In this paper, we propose an approximate policy iteration (API) algorithm for a semiconduc-tor fab-l...
Discrete-event simulation is a well-established and rather successful method in some semiconductor c...
Markov decision process (MDP) models are widely used for modeling sequential decision-making problem...
This paper discusses simulation design and analysis for Silicon Carbide (SiC) manufacturing operatio...
This dissertation proposes multiple methods to improve processes and make better decisions in manufa...
This paper describes an analysis performed to assess the fidelity, scalability, and performance of t...
The creation of large-scale simulation models is a difficult and time-consuming task. Yet simulation...
Although a number of approaches have been developed to schedule tasks or jobs in many different manu...