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Scheduling for wafer fabrication of advanced technology nodes entails complicated constraints such as limited waiting times. Focusing on real settings, this paper aims to develop a novel genetic algorithm of multi-subpopulation parameters with hybrid estimation of distribution (MSPHEDA) to solve the present problem effectively and efficiently. To estimate the validity of this approach, ten scenarios...
This paper considers a semiconductor manufacturing scheduling problem (SMSP), subjected to all the practical constraints such as limited waiting time, machine status, different process time on different machines, setup time and arrival time in wafer fabrication facilities (fabs) of semiconductor manufacturing industry. A hybrid estimation of distribution algorithm with multiple subpopulations (HEDA-MS)...
The purpose of this study is to optimally allocate the human resources to tasks while minimizing the total daily human resource costs and smoothing the human resource usage. This human resource allocation problem (hRAP) has two kinds of special constraints, i.e. operational precedence and skill constraints in addition to the ordinary constraints. To deal with the multiple objectives and the special...
The Assembly Line Balancing (ALB) problem is a well-known manufacturing optimization problem, which determines the assignment of various tasks to an ordered sequence of stations, while optimizing one or more objectives without violating restrictions imposed on the line. As Genetic Algorithms (GAs) have established themselves as a useful optimization technique in the manufacturing field, the application...
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