This paper presents a physically based model and formulation for industrial
load management. The formulation utilizes integer linear programming techn
ique for minimizing the electricity costs by scheduling the loads satisfyin
g the process, storage and production constraints. The proposed strategy is
evaluated by a case study for a typical flour mill with different load man
agement options. The results show that significant reductions in peak elect
ricity consumption are possible under time of use tariffs.