Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Rahul Chougule"'
Autor:
Ofra Amir, Ayelet Eyal, Kallappa Pattada, Rajkumar Vaidyanathan, Rahul Chougule, Meir Kalech, Lior Rokach
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 44:246-253
An ability to predict the mileage at failure of components in a complicated system, particularly in automobiles, is a challenging task. In the current work, a methodology for estimating the distribution of failure and survival rate of automobile comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e28e5ebe6fbfde817af06f6fdbdf227
https://doi.org/10.1109/tsmc.2013.2248357
https://doi.org/10.1109/tsmc.2013.2248357
Publikováno v:
Expert Systems with Applications. 40:800-810
This paper presents an approach to assess quality and reliability related customer satisfaction from field failure data at each individual customer level. The quality satisfaction has been modeled based on number of failures and severity of failures,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf47c5d3cc0f5af7ca7d5c6985e9b6a
https://doi.org/10.1016/j.eswa.2012.08.032
https://doi.org/10.1016/j.eswa.2012.08.032
Autor:
Vineet R. Khare, Rahul Chougule
Publikováno v:
Knowledge-Based Systems. 33:29-40
This paper presents a decision support system 'Domain Aware Text & Association Mining (DATAM)' which has been developed to improve after-sales service and repairs for the automotive domain. A novel approach that compares textual and non-textual data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aab67a6dc1b70d95b693dd2e66065cb6
https://doi.org/10.1016/j.knosys.2012.03.005
https://doi.org/10.1016/j.knosys.2012.03.005
Publikováno v:
Computers in Industry. 62:742-754
In this paper, we propose a novel integrated framework combining association rule mining, case-based-reasoning and text mining that can be used to continuously improve service and repair in an automotive domain. The developed framework enables identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9fc59375b7012ca340f6f90cf0c1631
https://doi.org/10.1016/j.compind.2011.05.007
https://doi.org/10.1016/j.compind.2011.05.007
Publikováno v:
Knowledge and Information Systems. 31:405-432
We propose a novel association and text mining system for knowledge discovery (ASTEK) from the warranty and service data in the automotive domain. The complex architecture of modern vehicles makes fault diagnosis and isolation a non-trivial task. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9896a67fe5fc9d80d7f05ec27fe0d49
https://doi.org/10.1007/s10115-011-0409-1
https://doi.org/10.1007/s10115-011-0409-1
Autor:
Rahul Chougule, Dnyanesh Rajpathak
Publikováno v:
International Journal of Computer Integrated Manufacturing. 24:154-170
Data inconsistency and data mismatch are critical problems that limit data interoperability and hinder smooth operation of a distributed business. An ontology represents a semantic model that explicitly describes various entities and their properties
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39bfd926b11c7a5c7d643c403a5f4003
https://doi.org/10.1080/0951192x.2010.531291
https://doi.org/10.1080/0951192x.2010.531291
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 44:1237-1249
In the body shop of an automobile assembly plant, having access to correct and timely information is very important in solving problems encountered in the assembly process. The Variation Reduction Adviser (VRA) system used within General Motors (GM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::843cfcd3f596701d5e982c6be36e0f65
https://doi.org/10.1007/s00170-009-1925-y
https://doi.org/10.1007/s00170-009-1925-y
Autor:
Kalyanmoy Deb, Abhinav Gaur, Rahul Chougule, Sunith Bandaru, Pulak Bandyopadhyay, Vineet R. Khare
Graphical abstractDisplay Omitted HighlightsQuantitative modeling of customer satisfaction for consumer vehicles is proposed.Real-world service and sales datasets of five vehicle models are used.Model sensitivity to various features of the service da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7362bdbc140e9aff9186f3300d6b3568
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-10696
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-10696
Autor:
Bhallamudi Ravi, Rahul Chougule
Publikováno v:
International Journal of Production Research. 43:1255-1273
This paper presents our research work on developing a computer-aided casting process-planning system using case-based reasoning. The nearest neighbour algorithm has been used for retrieval of a previous case ( solution) that is closest to the current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7304127c28db2a67aecad6831626e5ea
https://doi.org/10.1080/00207540412331320517
https://doi.org/10.1080/00207540412331320517
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9788132210375
BIC-TA (1)
BIC-TA (1)
This paper presents a method for prioritizing field failures in passenger vehicles based on their potential for improvement in the Customer Satisfaction Index (\({\text{ CSI}}_{QSR}\)). \({\text{ CSI}}_{QSR}\) refers to Customer Satisfaction Index pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52719acd84a5a964676c3a83195e348b
https://doi.org/10.1007/978-81-322-1038-2_10
https://doi.org/10.1007/978-81-322-1038-2_10