### Table 4 Percentage performance comparison for larger-size problems with the normal distribution of job processing times Normal Exponential

2006

"... In PAGE 11: ....2. Performance results of larger-size problems We compare each pair of the four scheduling methods in their performance by computing the percentage of the 1000 problems for a given distribution for which one method in the pair produces better results (smaller WWTV) than another. For example, in Table4 , the last column of the RW scenario for the Pareto data shows 100%, 100%, and 82.3%, which means WVS produce smaller WWTV than FIFO and WSPT for each of the 1000 problems and for 82.... In PAGE 11: ...3% of the problems WVS produces smaller WWTV than WSS. From Table4 we can see that WVS outperforms the other scheduling methods in the PW and RW scenarios regardless of the distribution of the job processing times. In the NW scenario, WSS outperforms other sched- uling methods regardless of the distribution of the job processing times.... ..."

### Table 5. Normalized criteria and dominance percentages for job shop problem

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