Consider the bin packing problem where we are given item sizes $a_1,\dots, a_n \in (0, 1)$, and all bins have capacity 2. The task is to pack the items in as few bins as possible, such that the total size of items in each bin is at most 2.
Is it possible to show that the First-Fit-Decreasing algorithm computes an asymptotic 3/2-approximation of an optimal solution, using at most $\frac{3}{2}\text{OPT}+1$ bins? The First-Fit-Decreasing algorithm sorts the items in order of non-increasing size, and the next piece is always packed into the first bin in which it fits.
What I have been able to do is to show that the First-Fit algorithm, which doesn't sort the items by their sizes first, provides a $2\text{OPT}+1$ guarantee: Assume that we open $l$ bins, then for $1≤i≤l−1$, we know that the sum of the piece sizes in bins i and i+1 must be at least 2. Thus, if we let $\text{SIZE}$ denote the total size of the input items, then $$ \text{SIZE}≥2(l−1)/2=l−1 $$ which implies that $$ l≤\text{SIZE}+1 $$ In the best case each bin is filled to capacity such that each bin has a total piece size of 2. Therefore, $2\text{OPT}≥\text{SIZE}$. Thus, we get $l≤2\text{OPT}+1$.