Consider the following problem.
Given a rectangular paper of size $2y+8$ and $16-y$. A quadrilateral $PQRS$ in green color below is obtained by removing the four triangles. What is the smallest area of this quadrilateral?
Question
Can we minimize the paper area $(2y+8)(16-y)$ first in which I get $y=6$ and plug it to minimize the required area $(10)(20)-x(20-2x)-2x(10-x)$ in which I get $x=5$?
The required area can be represented as follows
\begin{align} \text{required area} &= 128 + 24 y - 2 y^2 + 4 (-10 + x) x \end{align}
No $xy$ terms involved.

Before solving any optimization problem, the very first thing to do is to make two things clear, if that's not already the case:
The objective function.
The constraints.
For 1, simple calculation gives \begin{align}A &= \text{(area of quadrilateral)} \\ &= \text{(area of rectangle)} - \text{(area of triangles)}\\ &= (2y + 8)(16-y) - [2x (16 - y - x) + x (2y + 8 - 2x)]\\ &= 2(-y^2 + 12y + 64) + 4(x^2 - 10x). \end{align}
We need to minimize this function with respect to the following constraints: \begin{equation} 0 \le 2y + 8,\quad 0 \le 16 - y,\quad 0 \le x \le 16 - y,\quad 0 \le 2x \le 2y + 8, \end{equation} which can be simplified as \begin{equation} x \ge 0,\quad x-4 \le y \le 16-x. \end{equation} Therefore, we have reduced the problem to
The answer is Yes, but you need to do it correctly.
Suppose we have for example the following problem: \begin{equation} \min f(x,y) \quad \mbox{s.t. } g(x,y) \ge 0 \end{equation} You can minimize over $x$ first by fixing $y$ and solving $$\min_{x: g(x,y) \ge 0} f(x,y).$$ Suppose that you can solve this analytically to obtain the optimal $x^* = h(y)$, then you can plug this into the original objective and minimize over $y$: $$\min_{y: g(h(y),y) \ge 0} f(h(y),y).$$
Now back to the original problem. We need to minimize $f(x) + g(y)$ subject to $x \ge 0,x-4 \le y \le 16-x$, where $f(x)$ and $g(y)$ are quadratic functions.
You can start by fixing $x$ and minimizing over $y$. This is just minimizing a quadratic function over an interval, so you can totally do that. Once you have found the solution (which is a function on $x$), plug it to the original problem and reduce it to, again, minimizing a quadratic function (of $x$) over an interval.
Hint: At some point you may want to use a change of variables for a nicer solution: $a = x - 5, b=y-6$ ;)