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作 者:孟宪刚[1,2] 严洪森 于晓[2] MENG Xiangang;YAN Hongsen;YU Xiao(School of Automation,Key Laboratory of Measurement and Control of Complex systems of Engineering,Ministry of Education,Southeast University,Nanjing 210096,China;School of Electrical and Electronic Engineering,Tianjin University of Technology,Tianjin 300384,China)
机构地区:[1]东南大学自动化学院,复杂工程系统测量与控制教育部重点实验室,江苏南京210096 [2]天津理工大学电气电子工程学院,天津300384
出 处:《工业工程》2019年第4期18-22,共5页Industrial Engineering Journal
基 金:国家自然科学基金资助项目(61673112,61502340)
摘 要:利用原有产品及其后续产品的相似性,提出了一种确定产品所处生命周期阶段的匹配方法。该方法通过利用匹配算法提取现有产品的生命周期特征,与制造系统知识库的原有产品生命周期数据知识进行匹配,匹配后的数据可用于从知识库中获取适合现有产品的生产与营销决策,最后利用促销实例验证了其有效性。A matching method of determining product life cycle stage based on the similarity between the original product and its follow-up product is proposed.The characteristic values of follow-up product are extracted by matching algorithm,and then the characteristic values are matched with product life cycle data of the original product which are stored in the knowledge base in manufacturing system.The matching result can be used to access production and marketing decisions of follow-up product from the knowledge base.Finally,an application of the methods to a sale promotion example verifies its validity.
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