A Short-Term Scheduling Problem in the Paper-Converting Industry

Abstract Due to increasing competition in international markets, the efficient usage of available production resources has become more and more important to industry. Production planning facilities play a key role in achieving this goal. In this paper we will discuss a short-term production scheduling problem in the paper-converting industry and formulate it as two alternative variants of a mixed integer linear programming (MILP) model on which a sequential updating procedure is applied. The objective is to obtain short-time production schedules for large-scale real-world systems. The features of interest are those of practical economical significance as well as computational efficiency.