Optimizing green production strategies: An integrated approach
Optimizing green production strategies: An integrated approach
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DOI：
10.1016/j.cie.2013.02.020
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
M. Zhou;Yanchun Pan;Zhimin Chen;Wei Yang
中科院分区：
文献类型：
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作者：
M. Zhou;Yanchun Pan;Zhimin Chen;Wei Yang
绿色生产战略的选择是一项关键而又困难的任务，因为它不仅影响绿色效益，而且影响生产的经济性。该问题本质上是多目标的，涉及动态和不确定的条件。这项研究的重点是一个综合的方法，以改善分析和促进决策过程。建立了离散事件仿真模型，以捕捉真实的世界条件下的生产流程和决策逻辑。结合改进的遗传算法，提出了一种多目标遗传算法（莫加）来搜索最优解（Pareto最优解）。这两个模块集成在一起，在进化周期中工作，以实现优化。实验设计和进行了通过原型系统开发，以验证和验证提出的概念，包括相关模型参数的灵敏度分析。
Selection of green production strategy is a critical but difficult task due to the fact that it affects not only green benefits, but also production economy. The problem is essentially multi-objective and involves dynamic and uncertain conditions. This study focused on an integrated approach to improve the analysis and facilitate decision-making process. Discrete-event simulation model was developed to capture production flow and decision logic under real world conditions. A multi-objective genetic algorithm (MOGA), combined with improving heuristics, was developed to search the best solutions (Pareto optimums). The two modules are integrated to work in evolutionary cycles to achieve the optimization. Experiments were designed and carried out via a prototype system developed to verify and validate proposed concepts, including sensitivity analysis of related model parameters.