Energy-Efficient Hybrid Flow-Shop Scheduling under Time-of-Use and Ladder Electricity Tariffs

With the increasing influence of climate change, green development has become an important trend. Since manufacturing represents approximately one-half total energy consumption, reducing amount consumed within this industry is imperative. This study provides a hybrid flow shop scheduling issue under time-of-use and ladder electricity price system to reduce consumption without compromising maximum completion time. An improved non-dominated sorting genetic algorithm II with some optimization strategies proposed solve problem. First, enhanced constructive heuristic used improve quantity initial solution in initialization. Besides, adaptive operation introduced, aiming avoid emergence locally optimal solutions. In addition, right-shift approach developed affecting By maintaining production efficiency cost by 4.33%. A trade-off proposal made between productivity sustainability view calculation results.