An Integrated Production-Distribution Planning Problem under Demand and Production Capacity Uncertainties: New Formulation and Case Study

Table 8

Performance of stochastic programming solutions considering the uncertainties of replenishment orders and production capacity.

Pareto solutions	ε (k)	CPU (s)	F2	RP (monetary unit)	WS (monetary unit)	EVPI (monetary unit)	EVPI/RP (%)	EEV (monetary unit)	VSS (monetary unit)	VSS/RP (%)
Solution 1	0.72	5	0.786	368661.1	343994.1	24666.98	6.691	391913	23251.98	6.31
Solution 2	0.74	3.97	0.795	369187.1	344018.6	25168.45	6.817	391913	22725.95	6.16
Solution 3	0.77	3.78	0.803	370035.5	344072.7	25962.76	7.016	391913	21877.56	5.91
Solution 4	0.80	4.11	0.817	371061.1	344167.5	26893.61	7.248	391913	20851.97	5.62
Solution 5	0.83	4.2	0.841	372422.1	344326.2	28095.87	7.544	393428.6	21006.51	5.64
Solution 6	0.86	3.8	0.861	374213.1	344845.8	29367.34	7.848	396477.7	22264.55	5.95
Solution 7	0.89	9.16	0.890	376507.8	346177.6	30330.18	8.056	399137.2	22629.45	6.01
Solution 8	0.91	10.38	0.910	378317.7	347706.2	30611.49	8.091	400986.6	22668.95	5.99
Solution 9	0.94	4.09	0.940	381852.8	350953.5	30899.3	8.092	405442.2	23589.34	6.18
Solution 10	0.97	4.99	0.970	387226.8	356685.5	30541.21	7.887	413829.9	26603.14	6.87
Solution 11	1.00	3.47	1.000	394931.5	364070.1	30861.44	7.814	430913.8	35982.28	9.11