相互依存
计算机科学
过程管理
产品生命周期
过程(计算)
生产(经济)
产品服务体系
自动化
系统工程
鉴定(生物学)
服务(商务)
产品(数学)
透明度(行为)
新产品开发
风险分析(工程)
知识管理
工程类
商业模式
业务
营销
经济
几何学
政治学
法学
数学
计算机安全
宏观经济学
植物
机械工程
操作系统
生物
作者
Günther Schuh,Christoph Kelzenberg,Jan Wiese
出处
期刊:Procedia CIRP
[Elsevier]
日期:2019-01-01
卷期号:84: 296-301
被引量:7
标识
DOI:10.1016/j.procir.2019.04.216
摘要
Due to increasingly specific customer requirements, complex value-added processes and services characterize the single and small series production. A low degree of automation and insufficient knowledge management complicate the efficient accomplishment of projects, especially for the transparent calculation of new offers and change requests. The dissemination of product-service systems causes the additional challenge of calculating intangible services accurately. Innovative information and communication technologies (ICT) offer new potential for effective and efficient design of the calculation process. The availability of data along the entire product lifecycle, especially during the design phase, increases the transparency and allows the identification of interdependencies as well as prognosis possibilities. However, current calculation models only insufficiently consider the use of ICT. The solution presented in this paper considers the development of a design model for the holistic calculation of product-service systems in single and small series production that integrates and processes all cost-relevant data, both internally and externally. In order to filter important information, it includes the usage of suitable data analysis and enables a continuous learning process as well as sustainable knowledge management along the entire calculation process.
科研通智能强力驱动
Strongly Powered by AbleSci AI