Solving Linear Programming Problems TURN THIS PAGE IN! Team Name: ________KEY__________________ Members Present: ____________________________________________________________________ Section: ______________ Part I 1. ___unbounded_______ Minimum value of C possible? YES NO Why or why not? The objective function has non-negative coefficients and the constraints include x ≥ 0 and y ≥ 0. This means that a minimum exists for the linear programming problem. ____________________________________________________________________________________ 2. a. Corner Point (50,100) (50, 55) (100, 30) C = 67000x + 81000y 11,450,00 7,805,000 9,130,000 b. $7,805,000___; ____50_____; __55______ 3. __640______ 4. __No – the region is unbounded.______________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ ©Texas A&M University Part II 1. _bounded________; Maximum value of R possible? YES NO Why or why not? Bounded regions have both a minimum and maximum value of the objective function. ___________________________________________________________________________ ____________________________________________________________________________________ 2. Corner Point R = 20x + 16y (12, 10) 400 (12, 30) 720 (32, 20) 960 (40, 10) 960 3. Every point on the heavy line has the same maximum value of R, 960._____________________ __________________________________________________________________________________ __________________________________________________________________________________ 4. __960___; __(32, 20)__; __(40, 10)__; R = 20x + 16y=__960_____ Slope-Intercept Form: _y = -1.25x + 60____ with _32_ ≤ x ≤ _40_. 5. (x, y) (32, 20) Food Used 288 Leftover Food 0 Hours of Care Used 240 Leftover Hours 0 (36,15) 264 24 240 0 (40, 10) 240 48 240 0 © Texas A&M University