The goal programming problem below was solved with the Management Scientist.
Min
P1(d1-) + P2(d2+) + P3(d3-)
s.t.
72x1 + 38x2 + 23x3 - 20,000
.72x1 -.76x2 - .23x3 + d1- - d1+ = 0
x3 + d2- - d2+ = 150
38x2 + d3- -d3+ = 2000
x1, x2, x3, d1-, d 1+, d2-, d2+, d3-, d3+ ≥ 0
Partial output from three successive linear programming problems is given. For each problem, give the original objective function expression and its value, and list any constraints needed beyond those that were in the original problem. a. Objective Function Value =0.000 Variable D1MINUS X1 X2 X3 D1PLUS D2MINUS D2PLUS D3MINUS D3PLUS Value 0.00052.6320.000150.0003.3950.0000.0000.0000.000 Reduced Cost 1.0000.0000.0000.0000.0000.0000.0000.0000.000 b. Objective Function Value =0.000 Variable D2PLUS X1 X2 X3 D1MINUS D1PLUS D2MINUS D3MINUS D3PLUS Value 0.00052.6320.000150.0000.0003.3950.0000.0000.000 Reduced Cost 1.0000.0000.0000.0000.0000.0000.0000.0000.000 c. Objective Function Value =0.000 Variable D3MINUS X1 X2 X3 D1MINUS D1PLUS D2MINUS D2PLUS D3PLUS Value 0.00052.6320.000150.0000.0003.3950.0000.0000.000 Reduced Cost 1.0000.0000.0000.0000.0000.0000.0000.0000.000
Mid-Ocean Ridge
An underwater mountain range, formed by plate tectonics, featuring peaks separated by valleys with a central rift valley that forms at divergent plate boundaries.
Subduction
A geologic process where one tectonic plate moves under another, sinking into the earth's mantle.
Caldera
A vast crater on a volcano, often resulting from a major eruption and subsequent collapse of the volcano's opening.
Magma
Igneous rocks form from this liquid rock that exists below the Earth's surface, cooling and solidifying over time.