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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11932
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dc.contributor.authorDigalwar, Abhijeet K.-
dc.date.accessioned2023-09-06T10:19:21Z-
dc.date.available2023-09-06T10:19:21Z-
dc.date.issued2013-
dc.identifier.urihttps://www.proquest.com/openview/b876b5decaaa54f3f8b8b884b44e3e6e/1?cbl=54466&pq-origsite=gscholar&parentSessionId=WzDb28qF7%2FRc2UcrxZW5NOoqRYYy4s253Hzt6m1NGgc%3D-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11932-
dc.description.abstractThe paper aims at improving the production performance of a transaxle assembly line by lean manufacturing implementation. The production performance has been increased by identifying and eliminating non-value added activities through value network mapping. To achieve maximum productivity while producing 200 pieces per shift instead of 150 pieces per shift, the assembly line will need only 13 operators instead of 17 and the productivity can be enhanced by 62.3% as compared to the current state. On the other hand, while producing 125 pieces per shift instead of 150 pieces per shift, the assembly line will need only 9 operators instead of 17 and productivity can be enhanced by 30.05% as compared to the current state. Both the production plans can be implemented with the minimum setup and changeover timesen_US
dc.language.isoenen_US
dc.publisherIUPen_US
dc.subjectMechanical Engineeringen_US
dc.subjectValue Network Mappingen_US
dc.titleValue Network Mapping for Productivity Improvement: A Case Studyen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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