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Science
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| Number of pages / Number of words: |
2 / 293 |
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Summary
This paper explains a Multi-Objective Genetic Algorithm (MOGA) approach to a Just-In-Time (JIT) sequencing problem where variation of production rates and number of setups are to be optimized together. These two objectives are typically inversely correlated with each other, and therefore, simultaneously optimization of both is challenging...
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Summary
This paper explains a Multi-Objective Genetic Algorithm (MOGA) approach to a Just-In-Time (JIT) sequencing problem where variation of production rates and number of setups are to be optimized together. These two objectives are typically inversely correlated with each other, and therefore, simultaneously optimization of both is challenging...
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