Optimizing the Joint Replenishment and Channel Coordination Problem under Supply Chain Environment Using a Simple and Effective Differential Evolution Algorithm

Table 8

Sensitivity analysis of major ordering cost 𝐹.

Parameter variable	Model	Retailer	Manufacturer 1	Manufacturer 2	Manufacturer 3	Supply chain
𝐹; (1−100%)	IR	3025.2	910.2592	627.5493	636.8673	5199.88
	JR-CC	3034.3	911.1031	629.5798	636.953	5211.94
	Cost reduction	−0.30%	−0.09%	−0.32%	−0.01%	−0.23%
𝐹; (1−50%)	IR	5201.9	922.0195	657.6866	637.2893	7418.90
	JR-CC	3898.8	916.5907	639.1153	636.9343	6091.44
	Cost reduction	25.05%	0.59%	2.82%	0.06%	17.89%
𝐹; (1−25%)	IR	6001.9	925.4559	664.7484	637.0900	8229.19
	JR-CC	4267.3	918.1299	641.9134	636.7032	6464.05
	Cost reduction	28.90%	0.79%	3.44%	0.06%	21.45%
𝐹	IR	6700.3	931.4354	673.8471	637.0856	8944.65
	JR-CC	4604.4	923.6882	647.3242	636.62	6812.03
	Cost reduction	31.28%	0.83%	3.94%	0.07%	23.83%
𝐹; (1+25%)	IR	7336.9	931.4831	680.5486	636.5465	9585.48
	JR-CC	4919.6	921.9574	648.8993	636.7276	7127.18
	Cost reduction	32.95%	1.02%	4.65%	−0.03%	25.65%
𝐹; (1+50%)	IR	7919.1	934.9171	693.3752	638.5272	10185.92
	JR-CC	5217.3	922.6537	650.8138	638.1269	7428.89
	Cost reduction	34.12%	1.31%	6.14%	0.06%	27.07%
𝐹; (1+100%)	IR	8978.5	948.1541	700.000	637.3805	11264.03
	JR-CC	5763.7	931.1428	657.4859	636.4094	7988.74
	Cost reduction	35.81%	1.79%	6.07%	0.15%	29.08%