Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Assembly line balancing problem (ALBP) means assigning a series of task elements to uniform sequential stations under certain restrictions. This paper considers a special type of ...
As the semiconductor industry moves into the next millennium, companies increasingly will be faced with production obstacles that impede their ability to remain competitive. Effec...
Wafers in a 300-mm semiconductor fabrication facility are transported throughout the factory in carriers called front opening unified pods (FOUPs). Two standard capacities of FOUP...
Determination of credit portfolio loss distributions is essential for the valuation and risk management of multiname credit derivatives such as CDOs. The default time model has re...