Comparison of heuristic scheduling approaches in an energy-orientated hybrid flow shop

The efficient and economic allocation of resources is one main goal in the field of production planning and control. Nowadays, a new variable gains in importance throughout the planning process: Energy. Due to the expansion of renewable energies in Germany, the electrical energy supply is shifting to a complex and volatile system. Therefore, supply and demand need to be synchronized in an efficient way. Companies can profit from capacity based supply conditions and price volatility of the market by implementing the concept of energy flexibility. The main objective is to transform the price signals from the market and the on-site supply into the production planning process. Especially the machine scheduling needs no be enhanced by the factor energy in order to adjust the production demand to a given energy limit. This paper aims to benchmark different basic energy-orientated metaheuristic approaches considering energy flexibility for machine scheduling to a given problem set