摘要
针对多品种、小批量服装生产模式中计划制定不准确等问题,以某外贸服装企业实际生产数据为研究对象,分析员工技能熟练度与学习系数的相关性,结合首件工时提出了学习曲线改进模型,对服装订单生产计划进行预测。对学习曲线改进模型预测的生产时间与未改进模型和实际生产时间进行对比分析,利用相对误差检验法对模型进行验证。结果表明,改进后模型预测精确度为94.38%,比利用相似款预测精确度提高17.73%。该学习曲线改进模型预测方法可以更准确地预测生产时间,精确估计交货时间,为服装生产计划的制定提供思路。
To solve the problem of inaccurate planning during producing multi-variety and small-batch garment,we firstly took the actual production data of a apparel trading enterprise as the research object,analyzed the correlation between employee′s skill proficiency and learning coefficient,and put forward an improved learning curve model combined with the first man-hour to predict the garment order production plan.Then,we compared the production time predicted by the improved learning curve model with that predicted by the unmodified model and the actual production time,and verified the model by using the relative error test method.The results show that our model achieves 94.38%accuracy,which is 17.73%higher than the results of similar clothing forecast.The modified learning curve can be used to accurately predict production time and estimate time of delivery,and it can provide ideas for making garment production plans.
作者
王青云
侯珏
郭玲玲
刘正
WANG Qingyun;HOU Jue;GUO Lingling;LIU Zheng(School of Fashion Design&Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China;Zhejiang Provincial Research Center of Clothing Engineering Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China;School of International Education,Zhejiang Sci-Tech University,Hangzhou 310018,China;Zhejiang Jiaxin Silk Corporation,Jiaxing 314000,China)
出处
《浙江理工大学学报（自然科学版）》
2023年第4期476-482,共7页
Journal of Zhejiang Sci-Tech University(Natural Sciences)
基金
嘉兴市重点研发项目(2021BZ10001)。
关键词
服装生产
生产计划
学习曲线
学习系数
员工技能熟练度
garment production
production plan
learning cure
learning coefficient
employee skill proficiency
