Modeling and Optimization of Stochastic Joint Replenishment and Delivery Scheduling Problem with Uncertain Costs

Table 6

Results comparison under different situations (scenarios 1).

𝑆	Situation	𝑘𝑖	𝑧𝑖	𝑇	TC, min	CPU time (seconds)
100	Certainty	(2, 1, 1, 1)	(1.8459, 1.6578, 1.3710, 1.7442)	0.0811	9005.90	4.3686
	Uncertainty, GMIR	(2, 1, 1, 1)	(1.8399, 1.6514, 1.3637, 1.7379)	0.0822	8805.18	4.4798
	Uncertainty, centroid	(2, 1, 1, 1)	(1.8349, 1.6459, 1.3575, 1.7327)	0.0832	8643.61	20.1834
300	Certainty	(2, 1, 1, 1)	(1.7319, 1.5343, 1.2301, 1.6252)	0.1041	11165.68	4.3143
	Uncertainty, GMIR	(2, 1, 1, 1)	(1.7249, 1.5268, 1.2214, 1.6179)	0.1057	10934.50	4.4220
	Uncertainty, centroid	(2, 1, 1, 1)	(1.7191, 1.5205, 1.2142, 1.6118)	0.1070	10747.98	20.258
500	Certainty	(2, 1, 1, 1)	(1.6525, 1.4478, 1.1302, 1.5421)	0.1231	12926.66	4.2566
	Uncertainty, GMIR	(2, 1, 1, 1)	(1.6449, 1.4396, 1.1206, 1.5342)	0.1250	12668.79	4.3772
	Uncertainty, centroid	(2, 1, 1, 1)	(1.6387, 1.4328, 1.1127, 1.5277)	0.1266	12460.48	19.8587
700	Certainty	(1, 1, 1, 1)	(1.8962, 1.3601, 1.0276, 1.4581)	0.1448	14415.60	4.1407
	Uncertainty, GMIR	(1, 1, 1, 1)	(1.8893, 1.3514, 1.0174, 1.4497)	0.1471	14132.48	4.2276
	Uncertainty, centroid	(1, 1, 1, 1)	(1.8836, 1.3442, 1.0089, 1.4428)	0.1491	13903.65	19.9156