A Stochasticity Handling Heuristic in Energy-cost-aware Scheduling for Sustainable Production

The emerging energy-cost-aware production scheduling approaches serve as a promising roadmap towards sustainable production. However, they tend to be static. If a schedule encounters stochastic events during its execution, e.g., machine failure and change of a customer order, its energy cost effectiveness is susceptible to be affected. This paper proposes a heuristic to deal with stochasticity for energy-cost-aware production scheduling. In the framework of simulation optimization, stochasticity is generated, and revision of a baseline schedule is triggered upon stochasticity. The investigation results demonstrate the effectiveness of this heuristic to keep a production schedule energy-cost-effective under stochasticity.