engleski

Stochastic and Genetic Algorithm Comparison for Production Scheduling in a Flexible Manufacturing System

Current computer development and the increase in processing ability when working with a large amount of parameters has made making data models for realistic production scheduling solutions significantly easier. System optimization is one of the most complicated problems that can be handled in a working environment. This paper presents a concept and an implementation model for the Job shop scheduling problems which were tested and on the basis of which pointed realistic parameters were presented.

Computer implementation in production scheduling; Stochastic and genetic algorithm comparison; Flexible manufacturing systems

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