XX + XX120
x5
x,y0
XXXX max X = 2(x + XX) which XXXXXXXX XX constraint x + 3yXX
XXXX this X.P.X has XXXX XXXX XXX solution.
XXXXXXXXXXXXX
x + 3y = 60
Corner XXXXX
X = (5, X)X = XX
B = (X, 18.33) z = 120 max
X = (XX, 12)X = XXX XXX
D = (XX, 0)z = 80
z = XXX is XXXXXXX XXXXXXXX at (5, 18.33) & (24, XX)
XXX manager is incorrect in XXXXXX that the XX model XXXXXXXX XXXXXXXXX XXX XXXXXX functioning. The only assurance that an XX model XX XXX XXXXXXXXXX relationship between various variables and XXX XXXXXX to be optimised.
In XXXXXXXX, the base XXXX XXXXXXXX or the XXXXXX XXXXXXXXXX to XXX XXXX XXXX may be XXXX to XXXXXXXXX a XXXX XXXXXXX XX XXXXX. XXX results of XXXX XXXXXXXX XXXX model provide a XXXX indicative direction XXX operations XXXXXXXXXXXX.
XX order XX take XXXX of XXX uncertainty and variability, it XX XXXXXXXX XX XXX a number of scenarios XX varying the XXXXXX XX the variables XXXXX XXXXX XXXXXX XXXXXXXXX optimized XXXXXX XXX XXXXXXXXX XXXXXXXXX XXXXXXXX values. XXXXXXXXX, a XXXXXXXXXXX of XXXXXXXX planning and XX analysis XXX be XXXX to XXXXXX out a XXX XX XXXXXXXX values XXXX are XXXXXXXX at XXXXXXX levels.
XX XXXXXXXX, a XXXXXX XX XXXXX's sensitivity performance in MS Excel XXXXXXXX XXX performance that XXXXX XXXXXX to XXXX an analysis. XXX reduced cost and the XXXXXXX or non-XXXXXXX constraints XXXXXXXX in the sensitivity analysis XXXXXXXXXXX the XXXXXX XX XXXXX those parameters can XX XXXXXX, XXXXXXX affecting XXX XXXXXXXX's optimality.
Thus XX modeling can XX XXXX very well in XXXXXXXXXX where there is ambiguity to XXXXXXXXX a XXXX XXXXXXX XX optimal solutions, depending XX XXX prevailing XXXXXXXXXX.