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Feature Based Time Estimation: A Review

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dc.contributor.author Shukla, A.
dc.contributor.author Jani, S.S.
dc.contributor.author Acharya, G.D.
dc.date.accessioned 2020-07-30T06:28:52Z
dc.date.available 2020-07-30T06:28:52Z
dc.date.issued 2015-12-10
dc.identifier.citation Shukla, A. & Jani, S.S. & Acharya, G.D.(2015).Feature Based Time Estimation: A Review.Journal of Production Research & Management, 5(3), 1-6.http://stmjournals.com/index.php?journal=JoPRM&page=issue&op=view&path%5B%5D=606 en_US
dc.identifier.issn 2249-4766
dc.identifier.issn 2347-9930
dc.identifier.uri http://stmjournals.com/index.php?journal=JoPRM&page=issue&op=view&path%5B%5D=606
dc.identifier.uri http://10.9.150.37:8080/dspace//handle/atmiyauni/538
dc.description.abstract Productivity improvement is the need of current market and manufacturing sector globally and machining time plays a very important role in reducing cost and time. In this review paper author aims to study the various factors affecting the NC machining time estimation and also tries to study the available methods used for estimating it. Hence a new prototype feature based model has been developed for NC machine time estimation. This model is then compared with the existing commercial software and other time estimation methods. The experimental data indicate that the proposed feature based model is reliable, practical and feasible. en_US
dc.language.iso en_US en_US
dc.publisher Journal of Production Research & Management en_US
dc.subject NC machining time estimation, productivity, feature based model, prototype model en_US
dc.title Feature Based Time Estimation: A Review en_US
dc.type Article en_US


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