[guided]We want an upper bound that records each order-preserving map by a linear extension and a weakly increasing list of values. The delicate point is tie-breaking: arbitrary tie-breaking among equal values can destroy the linear-extension property. Instead, we build a new partial order that remembers both the original order and the value order.
Fix an order-preserving map
\begin{align*}
f:P\to\{1,\dots,m\}.
\end{align*}
Define a relation $\preceq_f$ on $P$ as follows: for $x,y\in P$, declare $x\preceq_f y$ if and only if either $f(x)<f(y)$, or $f(x)=f(y)$ and $x\le_P y$. This relation says that smaller $f$-values must come first, while ties are ordered only when the original poset already forces an order.
We verify that $\preceq_f$ is a partial order. It is reflexive because $f(x)=f(x)$ and $x\le_P x$, so $x\preceq_f x$. For antisymmetry, assume $x\preceq_f y$ and $y\preceq_f x$. The alternatives $f(x)<f(y)$ and $f(y)<f(x)$ cannot both occur, so the two comparisons force $f(x)=f(y)$. Then the definition of $\preceq_f$ gives $x\le_P y$ and $y\le_P x$, and antisymmetry of the original partial order $\le_P$ gives $x=y$. For transitivity, assume $x\preceq_f y$ and $y\preceq_f z$. If either comparison is strict at the level of $f$-values, then $f(x)<f(z)$, and hence $x\preceq_f z$. If neither comparison is strict, then $f(x)=f(y)=f(z)$ and $x\le_P y\le_P z$; transitivity of $\le_P$ gives $x\le_P z$, so again $x\preceq_f z$.
Now $(P,\preceq_f)$ is a finite poset, so [citetheorem:8086] applies and gives a linear extension
\begin{align*}
\lambda_f:\{1,\dots,n\}\to P
\end{align*}
of $(P,\preceq_f)$. This chosen extension is also a linear extension of the original poset $(P,\le_P)$. Indeed, if $x\le_P y$, then order-preservation gives $f(x)\le f(y)$. If $f(x)<f(y)$, then $x\preceq_f y$ by definition; if $f(x)=f(y)$, then $x\preceq_f y$ because $x\le_P y$. Thus every original comparison is also a $\preceq_f$-comparison, so $\lambda_f\in\mathcal L(P)$.
The same construction forces the values along $\lambda_f$ to be weakly increasing. If $i\le j$ and $f(\lambda_f(j))<f(\lambda_f(i))$, then the definition of $\preceq_f$ gives $\lambda_f(j)\preceq_f \lambda_f(i)$. Since $\lambda_f$ is a linear extension of $\preceq_f$, this would imply $j\le i$. Hence for $i<j$ the strict reverse inequality is impossible, and therefore
\begin{align*}
f(\lambda_f(1))\le f(\lambda_f(2))\le \cdots \le f(\lambda_f(n)).
\end{align*}
Thus each order-preserving map $f$ determines a pair
\begin{align*}
\left(\lambda_f,\bigl(f(\lambda_f(1)),\dots,f(\lambda_f(n))\bigr)\right),
\end{align*}
where $\lambda_f\in\mathcal L(P)$ and the second component is a weakly increasing sequence in $\{1,\dots,m\}$. The map $f$ is recovered uniquely from such a recorded pair by setting $f(\lambda(i))=a_i$ for every $i\in\{1,\dots,n\}$. Therefore this recording is injective.
For each fixed linear extension $\lambda$, the number of weakly increasing sequences
\begin{align*}
1\le a_1\le \cdots \le a_n\le m
\end{align*}
is the stars-and-bars number
\begin{align*}
\binom{m+n-1}{n}.
\end{align*}
There are $e(P)$ possible linear extensions. Since every order-preserving map injects into this set of recorded pairs, we obtain
\begin{align*}
\Omega_P(m)\le e(P)\binom{m+n-1}{n}.
\end{align*}[/guided]