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Kiano, a telecommunications equipment manufacturer, manufactures PDAs (P), wireless handsets (H), and blackberrys (B). They have a limited supply of common parts---ethernet card (450 in

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Kiano, a telecommunications equipment manufacturer, manufactures PDAs (P), wireless handsets (H), and blackberrys (B). They have a limited supply of common parts---ethernet card (450 in inventory), antenna (250 in inventory), chipset (800 in inventory), battery/power supply (450 in inventory), LCD screen (600 in inventory)---that these products use. A PDA requites an ethernet card, 2 chipsets, a power supply, and 2 LCD screens. A wireless handset requires an ethernet card, an antenna, 2 chipsets, a power supply, and a LCD screen. A blackberry requires a chipset and a LCD screen. The profit on PDAs is $80, the profit on wireless handsets is $60, and the profit on blackberrys is $35. The following is a linear programming formulation of the problem. Let P = Number of PDAs produced H = Number of wireless handsets produced B = Number of blackberrys produced We may write a model for this problem as follows. Maximize 80P + 60H + 35B subject to: (ethernet card constraint) P + H s 450 (antenna constraint constraint) HS 250 (chipset constraint) 2P + 2H + BS 800 power supply constraint) P + Hs 450 (LCD screen constraint) 2P + H + BS 600 (non-negativity) P, H, B 2 0. Implement the above model in Solver (make sure to choose Simplex as the solving method and to choose the option "Make Unconstrained Variables non-negative"---do not explicitly put in the non-negativity constraints in the model) and using the sensitivity report only (do not resolve the problem and explain your calculation using the sensitivity report) answer the following questions

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