In this paper, we consider the single machine scheduling problem with inventory operations. The objective is to minimize makespan
subject to the constraint that the total number of tardy jobs is minimum. We show the problem is strongly NP-hard. A polynomial
(1 + 1/(m − 1))-approximation scheme for the problem is presented, where m is defined as the total job’s processing times ∑ p
j
divided by the capacity c of the storage, and an optimal algorithm for a special case of the problem, in which each job is one unit in size, is provided.
Keywords scheduling - bicriteria - NP-hardness - approximation algorithm - performance ratio
Supported by the National Science Foundation of China (No. 70731160015).