An Optimal Method for Developing Global Supply Chain Management System

Table 26

Retailer demand and forecasting at each time.

	Retailer 𝑅1					Retailer 𝑅2					Retailer 𝑅3
𝐷𝑡𝑟𝑝	𝑝1	𝑝2	𝑝3	𝑝4	𝑝5	𝑝1	𝑝2	𝑝3	𝑝4	𝑝5	𝑝1	𝑝2	𝑝3	𝑝4	𝑝5
𝑡=1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
𝑡=2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
𝑡=3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
𝑡=4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
𝑡=5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
𝑡=6	0	0	180	0	0	0	0	120	0	0	0	0	0	0	0
𝑡=7	0	0	190	0	0	0	0	110	0	0	0	0	0	0	0
𝑡=8	52	0	170	0	0	0	0	100	0	0	83	0	0	0	0
𝑡=9	38	0	160	0	0	0	0	130	0	0	90	0	0	0	0
𝑡=10	60	0	210	0	0	0	0	120	0	0	50	0	0	0	0
𝑡=11	43	0	180	0	0	0	0	110	0	0	60	0	0	0	0
𝑡=12	52	0	190	0	0	0	0	100	0	0	76	0	0	0	0
𝑡=13	56	0	170	0	0	0	0	110	0	0	56	0	0	0	0
𝑡=14	48	0	180	0	0	0	0	130	0	0	76	0	0	0	0
𝑡=15	58	0	200	0	0	0	0	120	0	0	99	0	0	0	0
𝑡=16	31	0	190	0	0	0	0	90	0	0	80	0	0	0	0
𝑡=17	52	0	180	0	0	0	0	120	0	0	50	0	0	0	0