JOB-SHOP SCHEDULING OPTIMIZATION WITH STOCHASTIC PROCESSING TIMES
DOI:
https://doi.org/10.29121/ijetmr.v6.i1.2019.347Keywords:
JSSP, Genetic Algorithm, Optimization, @RiskAbstract
In this study, a job shop scheduling optimization model under risk has been developed to minimize the make span. This model has been built using Microsoft Excel spreadsheets and solved using @Risk solver. A set of experiments have been also conducted to examine the accuracy of the model and its effectiveness has been proven.
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