2. GA developed for production scheduling

3. Chromosome representation

4. Crossover Operation

5. Mutation Operation

6. Fitness function Minimise :  Pe(Ec+Ep) +  Pt(Tp)
Where Ec = max (0, Dc - Fc)
Ep = max (0, Dp - Fp)
Tp = max (0, Fp - Dp)

7. Example problem
Component
Product
1st Operation
Assembly
Time

8. Resource profile
Resource overload

9. New schedule from GA

10. Resource profile of new schedule

11. Scheduling problems

12. Experimental factors

13. Scatter plot of responses

14. Evaluation regression models

15. Scheduling a larger problem
497 machining operations
39 assembly operations
24 machines

16. Comparison of penalty costs