A Multiobjective Stochastic Production-Distribution Planning Problem in an Uncertain Environment Considering Risk and Workers Productivity

Table 4

Comparison of the performance of the proposed algorithm with different scenario numbers.

Prob. No.	Problem info. No. of 𝑗/𝑐
		50 scenarios		100 scenarios
		CPU Time (min)	RG%	CPU Time (min)	RG%
1	12/20	17	1.253	17	1.358
2	20/25	18	1.668	18	1.681
3	25/30	20	2.446	23	2.588
4	25/35	21	2.477	24	2.356
5	30/40	25	2.302	25	3.01
Prob. No.	Problem info. No. of 𝑗/𝑐
		500 scenarios		1000 scenarios
		CPU Time (min)	RG%	CPU Time (min)	RG%
1	12/20	18	1.392	20	1.501
2	20/25	20	1.382	21	1.661
3	25/30	24	2.508	27	2.446
4	25/35	27	2.210	28	2.477
5	30/40	29	2.788	32	2.302