17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference17 articles.
1. How Smart, Connected Products Are Transforming Competition;Porter;Harvard Business Review,2014
2. Meyer, M., Wiederkehr, I., Koldewey, C., Dumitrescu, R., 2021. Understanding Usage Data-Driven Product Planning: A Systematic Literature Review, in Proceedings of the International Conference on Engineering Design (ICED21), Gothenburg, Sweden, pp. 3289–3298.
3. Holler, M., Uebernickel, F., Brenner, W., 2016. Understanding the Business Value of Intelligent Products for Product Development in Manufacturing Industries, in Proceedings of the 8th International Conference on Information Management and Engineering, Istanbul, Turkey, pp. 18–24.
4. Wilberg, J., Schäfer, F., Kandlbinder, P., Hollauer, C. et al., 2017. Data Analytics in Product Development: Implications from Expert Interviews, in IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, pp. 818–822.
5. Wilberg, J., Triep, I., Hollauer, C., Omer, M., 2017. Big Data in product development: Need for a data strategy, in Proceedings of PICMET ‘17: Technology Management for Interconnected World, Portland, USA, pp. 1–10.
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Creating data-driven products and services in industry 4.0: a case study on companies in the German machine and tool industry;Discover Mechanical Engineering;2024-04-11
2. Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories;Technologien für die intelligente Automation;2024
3. Towards a Data-Driven Product Management – Concepts, Advantages, and Future Research;2023 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD);2023-11-22
4. Scenario-based Foresight in the Age of Digitalization and Artificial Intelligence – Identification and Analysis of Existing Use Cases;Procedia CIRP;2023
5. Characterization of Usage Data with the Help of Data Classifications;Journal of the Knowledge Economy;2022-10-20
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3