A Multi-Objective Approach for both Makespan- and Energy-Efficient Scheduling in Injection Molding

被引:0
作者
Dahlmann, Klaas [1 ]
Sauer, Juergen [1 ]
机构
[1] Carl von Ossietzky Univ Oldenburg, Dept Comp Sci, Uhlhornsweg 84, D-26129 Oldenburg, Germany
来源
KI 2016: Advances in Artificial Intelligence | 2016年 / 9904卷
关键词
Energy efficiency; Goal programming; Multi-objective optimization; Scheduling; Simulated annealing;
D O I
10.1007/978-3-319-46073-4_12
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recent sustainability efforts require machine scheduling approaches to consider energy efficiency in the optimization of schedules. In this paper, an approach to reduce power peaks while maintaining the makespan is proposed and evaluated. The central concept of the approach is to slowly equalize highs and lows in the energy input of the schedule without affecting the makespan through an iterative optimization. The approach is based on the simulated annealing algorithm to optimize machine schedules regarding the makespan and the energy input, using the goal programming method as the objective function.
引用
收藏
页码:141 / 147
页数:7
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