Multi-objective fuzzy parallel machine scheduling problems under fuzzy job deterioration and learning effects
研究了完全模糊环境下考虑作业恶化效应、学习效应和模糊加工时间的多目标并行机调度问题，目标是最小化总拖期惩罚、提前惩罚和交货期设定成本，并比较了不同模糊数学规划模型与局部搜索算法的效果。
This paper investigates a multi-objective parallel machine scheduling problem under fully fuzzy environment with fuzzy job deterioration effect, fuzzy learning effect and fuzzy processing times. Due dates are decision variables for the problem and objective functions are to minimise total tardiness penalty cost, to minimise earliness penalty cost and to minimise cost of setting due dates. Due date assignment problems are significant for Just-in-Time (JIT) thought. A JIT company may want to have optimum schedule by minimising cost combination of earliness, tardiness and setting due dates. In this paper, we compare different approaches for modelling fuzzy mathematical programming models with a local search algorithm based on expected values of fuzzy parameters such as job deterioration effect, learning effect and processing times.