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has been cited by the following article:

• TITLE: Energy-Saving Scheduling in a Flexible Flow Shop Using a Hybrid Genetic Algorithm

  AUTHORS: Rong-Hwa Huang, Shun-Chi Yu, Po-Han Chen

  KEYWORDS: Flexible Flow Shops, Energy-Saving Genetic Algorithm, Energy Consumption Cost, Non-Tardy, Genetic Algorithms

  JOURNAL NAME: Journal of Environmental Protection, Vol.8 No.10, September 14, 2017

  ABSTRACT: Many researches discussing reduced energy consumption for environmental protection focus on machine efficiency or process redesign. To optimize the machine operation time can also save the energy, and these researches have received great interests in recent years. This study considers three different states of machines, among processing there are two different speeds, to solve the problem of minimizing energy costs under time-of-use tariff with no tardy jobs in flexible flow shop. This problem is basically NP-hard, we proposed a hybrid genetic algorithm (GA) to solve problems in reasonable timeliness. The result shows that to optimize different states of machines under time-of use tariff can reduce energy costs significantly in on-time delivery.