The 0-1 min-knapsack problem consists in finding a subset of items such that the sum of their sizes is larger than or equal to a given constant and the sum of their costs is minimized. We first study a greedy-type heuristic having a worst-case bound of 2. This heuristic is then refined to obtain a new one with a worst-case bound of 3/2.