A rigorous representation of the multistage batch scheduling problem is often useless to even provide a good feasible schedule for many real-world industrial facilities. In order to derive a much simpler scheduling ...

An iterative two-stage decomposition solution strategy for solving real-world scheduling problems in multi-stage multi-product batch plants is presented. The proposed method has as a core a mixed integer mathematical model, ...

This contribution introduces an efficient constraint programming (CP) model that copes with large-scale scheduling problems in multiproduct multistage batch plants. It addresses several features found in industrial ...

This work introduces a new MILP sequential approach to the short-term scheduling of multistage batch plants that accounts for sequence-dependent changeover times, intermediate due dates and limited availability of renewable ...

The large number of studies addressing the scheduling problem in multiproduct batch plants with different units operating in parallel and out of phase at each stage highlights its importance in achieveing their efficient ...

An efficient systematic iterative solution strategy for solving real-world scheduling problems in multiproduct multistage batch plants is presented. Since the proposed method has its core a mathematical model, two alternative ...

Uncertainty and variability are inherent characteristics of industrial environments that affect production schedules and could turn them unfeasible or economically unattractive. Process-inherent uncertainty, one of the ...