A Multi-criteria MILP Formulation for Energy Aware Hybrid Flow Shop Scheduling

Managing energy consumption more sustainably and efficiently has been gaining increasing importance in all industrial planning processes. Energy aware scheduling (EAS) can be seen as a part of that trend. Overall, EAS can be subdivided into three main approaches. In detail, the energy consumption can be reduced by specific planning, time-dependent electricity cost might be exploited or the peak power may be decreased. In contrast to the majority of EAS models these ideas are adopted simultaneously in the proposed new extensive MILP formulation. In order to affect peak load and energy consumption, variable discrete production rates as well as heterogeneous parallel machines with different levels of efficiency are considered. As a result, the interdependencies of different energy aware scheduling approaches and especially a dilemma between peak power minimization and demand charge reduction can be shown.