Scheduling jobs on parallel machines applying neural network and heuristic rules
Computers and Industrial Engineering
Introduction to Simulation Using SIMAN
Introduction to Simulation Using SIMAN
Simulation with Arena
Neural network-based simulation metamodels for predicting probability distributions
Computers and Industrial Engineering
Engineering Applications of Artificial Intelligence
Training a neural network to select dispatching rules in real time
Computers and Industrial Engineering
Approximation methods for discrete lot streaming in flow shops
Operations Research Letters
Neural-network predictive control for nonlinear dynamic systems with time-delay
IEEE Transactions on Neural Networks
Computers and Industrial Engineering
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In the thin film transistor-liquid crystal display (TFT-LCD) manufacturing process, array manufacturing is an important process. Transporting activities in array manufacturing are an important factor because of the frequent tasks. The transporting activity in array manufacturing is performed by an automated material handling system (AMHS). Automated guided vehicle (AGV) is the transporter used to carry glass substrates that are stored in a cassette. The capacity of a cassette is known as the transfer batch-size. Prior research of decisions in transfer batch-size, has addressed an optimal methodology, where one optimal transfer batch-size is assumed to have known conditions. However, in the volatile production environment, there may be multiple kinds of transfer batch-sizes. Therefore, we present an application of using a dynamic transfer batch-size strategy within a volatile production environment. In order to obtain the appropriate transfer batch-size for the current production environment, we adopt a neural-network based methodology as the core of the decision-making mechanism. This mechanism has the capability to identify the suitable transfer batch-size to allow an effective and efficient transportation under numerous conditions within the current production environment. This methodology is compared with the fixed transfer batch-size strategy in a real practical case. The results show that the dynamic transfer batch-size is superior to the fixed batch-size transportation.