A Framework for the Capture and Analysis of Product Usage Data for Continuous Product Improvement

计算机科学 背景(考古学) 产品生命周期 产品设计说明书 产品(数学) 新产品开发 产品设计 产品工程 系统工程 工程类 几何学 数学 生物 业务 古生物学 营销
作者
Henning Voet,Max Altenhof,Max Ellerich,Robert Schmitt,Barbara Linke
出处
期刊:Journal of Manufacturing Science and Engineering-transactions of The Asme [ASME International]
卷期号:141 (2) 被引量:24
标识
DOI:10.1115/1.4041948
摘要

Product improvement, usually through changes in design and functionality, is relying more and more on the continuous analysis of large amounts of data. Product data can come from many sources with varying effort in obtaining the data, e.g., condition monitoring and maintenance data. Intelligent products, also known as “product embedded information devices” (PEID), are already equipped with sensors and onboard computing capabilities and therefore able to generate valuable data such as the number of user interactions during the use phase. The internet of things (IoT) makes data transfer possible at any time to close the loop for the product lifecycle data and methods like machine learning promote new uses of those data. This paper proposes a methodology to capture the most relevant data on product use and human–product interaction automatically and utilize it as part of data-driven product improvement. Product engineers and designers will gain insights into the use phase and can derive design changes and quality improvements. The methodology guides the user through research on product use dimensions based on the principles of user-centered design (UCD). The findings are applied to define what usage elements, such as specific actions and context, need to be available from the use phase. During systems development, machine learning is suggested to fuse sensor data to efficiently capture the usage elements. After product deployment, use data are retrieved and analyzed to identify the improvement potential. This research is a first step on the long way to self-optimizing products.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
星辰大海应助大林采纳,获得10
1秒前
Hello应助小卷卷采纳,获得10
1秒前
俭朴咖啡发布了新的文献求助10
1秒前
小人物完成签到,获得积分10
3秒前
白开水发布了新的文献求助10
4秒前
大聪明完成签到 ,获得积分10
4秒前
郝富完成签到,获得积分10
4秒前
森宝完成签到,获得积分10
5秒前
wanci应助Xuan采纳,获得10
5秒前
师德完成签到,获得积分10
5秒前
7秒前
单薄绮露完成签到,获得积分10
7秒前
7秒前
超帅柚子完成签到 ,获得积分10
8秒前
天台飞船完成签到 ,获得积分10
8秒前
ML完成签到,获得积分10
9秒前
一条迷人的咸鱼干完成签到,获得积分10
9秒前
liu发布了新的文献求助10
11秒前
qiuyue完成签到,获得积分10
11秒前
Arthur完成签到,获得积分10
12秒前
江月年完成签到 ,获得积分10
12秒前
13秒前
ZhengSyHoe发布了新的文献求助10
14秒前
科研通AI2S应助lucky采纳,获得10
15秒前
16秒前
狗妹那塞完成签到,获得积分10
17秒前
一朵云完成签到,获得积分10
17秒前
排骨炖豆角完成签到 ,获得积分10
18秒前
科研通AI2S应助zrw采纳,获得10
19秒前
lllyq发布了新的文献求助10
19秒前
lxdfrank完成签到,获得积分10
20秒前
20秒前
NICKPLZ完成签到,获得积分10
22秒前
guangshuang发布了新的文献求助10
22秒前
Seven完成签到,获得积分10
23秒前
puzhongjiMiQ完成签到,获得积分10
23秒前
yeah发布了新的文献求助10
23秒前
Foreverlost完成签到 ,获得积分10
23秒前
IROL完成签到,获得积分10
24秒前
24秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
ALA生合成不全マウスでの糖代謝異常の分子機構解析 520
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
2-Acetyl-1-pyrroline: an important aroma component of cooked rice 500
A real-time energy management strategy based on fuzzy control and ECMS for PHEVs 400
Handbook on People's China (1957) 400
2024 Medicinal Chemistry Reviews 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3190279
求助须知:如何正确求助?哪些是违规求助? 2839527
关于积分的说明 8024498
捐赠科研通 2502443
什么是DOI,文献DOI怎么找? 1336603
科研通“疑难数据库(出版商)”最低求助积分说明 637841
邀请新用户注册赠送积分活动 606021