Mixed Replenishment Policy for ATO Supply Chain Based on Hybrid Genetic Simulated Annealing Algorithm

Table 1

The parameters of the ATO manufacturer.

Component	Quantity needed by Product 1 (units)	Quantity needed by Product 2 (units)	Annual expected demand (units per year)	Purchase price (per unit)	Demand in lead time (units)	Standard deviation of demand	Replenishment cost of (𝑄,𝑟) (per time)	Replenishment cost of JIT (per unit)
𝑝1	1	2	1100	100	25	14	600	8
𝑝2	3	1	1300	150	53	22	750	9
𝑝3	1	3	1500	120	12	6	800	10.5
𝑝4	1	3	1500	130	33	16	720	8.8
𝑝5	2	2	1400	95	20	10	650	8.1
𝑝6	2	1	1000	90	17	8	680	8.3
𝑝7	1	3	1500	110	45	20	850	11.5
𝑝8	1	2	1100	85	39	18	780	9.3
𝑝9	2	1	1000	80	60	28	820	11.0
𝑝10	1	3	1500	140	48	24	700	8.5
𝑝11	4	2	2000	150	75	36	500	7.0
𝑝12	2	2	1400	200	43	21	900	12.0
𝑝13	1	1	700	180	65	32	1000	13.0
𝑝14	2	3	1800	160	37	20	1100	14.0
𝑝15	3	4	2500	170	29	12	950	12.5
𝑝16	1	1	700	190	19	8	550	7.5
𝑝17	1	1	700	185	73	34	880	11.8
𝑝18	3	2	1700	210	46	18	920	12.2
𝑝19	3	3	1700	135	58	26	1050	13.5
𝑝20	2	3	1800	175	69	33	980	12.8