A Two-objective Fuzzy Linear Programming Model for a Single Batch Processing Machine Scheduling Problem under Time-of-Use Electricity Consumption Policy

With the reduction of non-renewable energy sources and the increased energy costs in recent years, the decision-making model with energy and electricity consumption consideration is significant. Time-of-Use (ToU) policy is one of the incentive policies in the whole world that provides new opportunities to save electricity consumption and energy costs. This paper considers a batch processing machine scheduling problem with identical jobs and a two-objective function of minimizing the cost of electricity consumed by the machine and minimizing the makespan under the ToU policy. The processing time of jobs is considered fuzzy due to uncertainty in the real world. The effectiveness and efficiency of the proposed model and solution approach to reduce the electricity cost are demonstrated by carrying out two numerical experiments.