首页|云制造模式下的再制造企业生产调度研究

云制造模式下的再制造企业生产调度研究

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针对多重不确定因素影响下再制造企业如何高效合理进行再制造生产调度决策问题,提出了一种云制造模式下包含回收产品质量、再制造时间、再制造成本以及再制造处理方法等多种不确定因素的再制造生产调度模型.首先,对回收产品通过模糊层次聚类分析法进行质量等级划分;然后,根据划分结果采用不同的再制造处理方法;最后,通过NSGA-Ⅱ算法求解模型得到再制造生产调度方案.通过实验验证了该模型的可行性,并对比了进行质量划分与否对再制造生产过程中再制造时间和成本不确定的影响,结果表明进行质量等级划分能够有效减少再制造生产调度过程中再制造时间和加工成本不确定的影响.
Research on Production Scheduling of Remanufacturing Enterprises Under Cloud Manufacturing Mode
Aiming at the problem of how to efficiently and reasonably carry out remanufacturing production scheduling decision-making for remanufacturing enterprises under the influence of multiple uncertain fac-tors,a remanufacturing production scheduling model including various uncertain factors such as recycling product quality,remanufacturing time,remanufacturing cost and remanufacturing processing method under cloud manufacturing mode is proposed.Firstly,the quality grade of recycled products is divided by fuzzy hi-erarchical clustering analysis method,and then different remanufacturing processing methods are adopted according to the division results.Finally,the remanufacturing production scheduling scheme is obtained by solving the model by NSGA-Ⅱ algorithm.The feasibility of the model is verified by experiments,and the influence of quality classification on remanufacturing time and cost uncertainty in remanufacturing produc-tion process is compared.The results show that quality classification can effectively reduce the influence of remanufacturing time and processing cost uncertainty in remanufacturing production scheduling process.

cloud manufacturingremanufacturingproduction schedulinguncertain factors

马沁怡、赵永明、公婷、娄华强、周茂军

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大连工业大学机械工程与自动化学院,大连 116034

云制造 再制造 生产调度 不确定因素

辽宁省教育厅高校基本科研项目

LJKMZ20220888

2024

组合机床与自动化加工技术
大连组合机床研究所 中国机械工程学会生产工程分会

组合机床与自动化加工技术

CSTPCD北大核心
影响因子:0.671
ISSN:1001-2265
年,卷(期):2024.(9)
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