Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rahul Sharan Renu"'
Publikováno v:
Volume 2: 42nd Computers and Information in Engineering Conference (CIE).
The study reported in this paper is focused on training needs for manufacturing assembly line workers. Specifically, the objective is to investigate desired worker characteristics, upskilling opportunities, and need for a training platform targeted a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36cab860abc697a71a18dc3641459eb3
https://doi.org/10.1115/detc2022-89556
https://doi.org/10.1115/detc2022-89556
Autor:
Gregory M. Mocko, Rahul Sharan Renu
Publikováno v:
Volume 2: 41st Computers and Information in Engineering Conference (CIE).
Many manufacturing enterprises have large collections of solid models and text-based assembly processes to support assembly operations. These data are often distributed across their extended enterprise. As these enterprises expand globally, there is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b0eff63bea4d1860e177ee677ca601b
https://doi.org/10.1115/detc2021-70480
https://doi.org/10.1115/detc2021-70480
Autor:
Rahul Sharan Renu
Publikováno v:
Volume 9: 40th Computers and Information in Engineering Conference (CIE).
In recent years, wrist-worn devices that contain inertial measurement units have become prevalent. The data from these sensors can be used to estimate characteristics of manual processes in a manufacturing environment. The goal of this research is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ae717095102c545dd49d9b70963e857
https://doi.org/10.1115/detc2020-22579
https://doi.org/10.1115/detc2020-22579
Autor:
Christopher Sousa, Rahul Sharan Renu
Publikováno v:
CAD'20.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::758bc235faa89798c29b4d087af043c7
https://doi.org/10.14733/cadconfp.2020.66-70
https://doi.org/10.14733/cadconfp.2020.66-70
Autor:
Rahul Sharan Renu
Publikováno v:
Volume 1: 39th Computers and Information in Engineering Conference.
This research proposes a framework for automating Maynard Operation Sequence Technique (MOST) studies. This is done by using data available in assembly work instructions, plant layouts and Product Data Management systems. Specifically, an investigati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b8385e8a9adfc830b5a9fc2415c34cd
https://doi.org/10.1115/detc2019-97692
https://doi.org/10.1115/detc2019-97692
Autor:
Rahul Sharan Renu, Gregory M. Mocko
Publikováno v:
Journal of Manufacturing Systems. 39:101-110
The objective of this research is to use text similarity algorithms to enable retrieval and knowledge sharing of text-based assembly process plans. In distributed design-manufacturing enterprises, there exists a need to: (1) establish and use “best
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12035d2112175f820c0faf6942fb8b8d
https://doi.org/10.1016/j.jmsy.2016.03.004
https://doi.org/10.1016/j.jmsy.2016.03.004
Autor:
Gregory M. Mocko, Rahul Sharan Renu
Publikováno v:
Computer-Aided Design and Applications. 13:628-636
The research objective is to (re)use geometric part information to mine databases for process design information. Specifically, this research investigates an approach to use assembly solid model similarity to mine databases for assembly work instruct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd08a958da37844b514b2b781d15d8bb
https://doi.org/10.1080/16864360.2016.1150708
https://doi.org/10.1080/16864360.2016.1150708
Autor:
Rahul Sharan Renu, Christopher Sousa
Publikováno v:
Volume 1B: 38th Computers and Information in Engineering Conference.
The objective of this research is to investigate the performance of a solid model similarity assessment method. This method is used to assess the similarity of tessellated solid models, where the tessellated geometry is in the form of triangles — s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c5e5fa6e5872b570d7171dd578066c6
https://doi.org/10.1115/detc2018-85269
https://doi.org/10.1115/detc2018-85269
Use of Machine Learning and Computational Linguistics to Understand Technical Instruction Authorship
Publikováno v:
Volume 3: 20th International Conference on Advanced Vehicle Technologies; 15th International Conference on Design Education.
This article describes the use of machine learning and Natural Language Processing to determine the quality of existing technical instructions. Technical instructions were gathered from publicly available, online sources and analyzed to determine the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a670a717aaca3aad474c31cbd8064de
https://doi.org/10.1115/detc2018-85612
https://doi.org/10.1115/detc2018-85612
A Knowledge Based FMEA to Support Identification and Management of Vehicle Flexible Component Issues
Autor:
Joerg Schulte, Stephan Knackstedt, Gregory M. Mocko, Darian Visotsky, Joshua D. Summers, Rahul Sharan Renu
Publikováno v:
Procedia CIRP. 44:157-162
The objective of this research is to develop a knowledge-based approach of performing Failure Modes and Effects Analysis (FMEA) on flexible vehicle components. A three-step knowledge discovery and data mining process is used to develop a set of rules
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::258e6c0ad1079f397fc59a0fda01b18d