You want to maximize V= xyz with the constraint that xy+ 2xz+ 2yz= 108. One way to do that is to use the constraint to remove one variable. For example, 2xz+ 2yz= (2x+ 2y)z= 108- xy so z= (108- xy)/(2x+ 2y). Replacing z in xyz by that, V= xy(108- xy)/(2x+ 2y). Find the partial derivatives of that with respect to x and y, set them equal to 0 and solve for x and y.
A simpler method is to use the "Laplace multiplier" method. Given that V= xyz, the gradient of V is $\nabla V= yz\vec{i}+ xz\vec{j}+ xy\vec{k}$. The constraint, that A= xy+ 2xz+ 2yz be a constant, has gradient $\nabla A= (y+ 2z)\vec{i}+ (x+ 2z)\vec{j}+ (2x+ 2y)\vec{k}$.
It can be shown, geometrically, that at a max or min, those two vectors must be parallel which means one is a multiple of the other: $yz\vec{i}+ xz\vec{j}+ xy\vec{k}= \lambda[(y+ 2z)\vec{i}+ (x+ 2z)\vec{j}+ (2x+ 2y)\vec{k}]$ for some number $\lambda$ (the "Laplace multiplier").
That is the same as saying that $yz= \lambda(y+ 2z)$, $xz= \lambda(x+ 2z)$, and $xy= \lambda(x+ 2y)$. Since a specific value for $\lambda$ is not necessary for a solution, it is often a good idea to start by eliminating $\lambda$ by dividing one equation by another. For example, dividing the first equation by the second, $\frac{yz}{xz}= \frac{y+ 2z}{x+ 2z}$, and dividing the second equation by the third, $\frac{xz}{xy}= \frac{x+ 2z}{x+ 2y}$. Clearing the fractions from each equation, y(x+ 2z)= x(y+ 2z) and z(x+ 2y)= y(x+ 2z). Those reduce to 2yz= 2xz, so y= x, and xz= xy so y= z. That is, x= y= z. Since they must satisfy the constraint, $xy+ 2xz+ 2yz= x^2+ 2x^2+ 2x^2= 5x^2= 108$ so x^2= 108/5= 21.6. Thus the maximum value of V, with this constraint is $(21.6)^3= 10077.696$.