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Manufacturing enhancement through reduction of cycle time using time-study statistical techniques in automotive industry
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Ahmad, Bilal and Mohammed, Abdul Rehan Khan (2019) Manufacturing enhancement through reduction of cycle time using time-study statistical techniques in automotive industry. In: ICPS2019 IEEE International Conference on Industrial Cyber-Physical Systems, Taipei, Taiwan, 6-9 May 2019. Published in: Proceedings of ICPS 2019 ISBN 9781538685006. doi:10.1109/ICPHYS.2019.8780198
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Official URL: https://doi.org/10.1109/ICPHYS.2019.8780198
Abstract
Within the complex and competitive automotive manufacturing industry, manufacturing Cycle Time (CT) remains one of the Key Performance Indicators (KPIs). Its reduction is of strategic importance as it contributes to time-to-market shortening, faster bottleneck detection, achieving throughput targets and improving production-resource scheduling. This paper presents a case study on CT analysis for early stage identification of the bottleneck stations and the processes in a manual assembly line that is responsible for increased manufacturing CT. The case study is conducted on an automotive seat manufacturing plant in the UK. For detailed CT analysis, CT of each station is recorded. Results of the case study shows that bottlenecks identification at an early stage can significantly enhance the overall performance of the production line.
Item Type: | Conference Item (Paper) | ||||||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor T Technology > TL Motor vehicles. Aeronautics. Astronautics T Technology > TS Manufactures |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Library of Congress Subject Headings (LCSH): | Motor vehicle industry , Production planning, Manufacturing resource planning, Time management | ||||||||
Journal or Publication Title: | Proceedings of ICPS 2019 | ||||||||
Publisher: | IEEE | ||||||||
ISBN: | 9781538685006 | ||||||||
Official Date: | 2019 | ||||||||
Dates: |
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DOI: | 10.1109/ICPHYS.2019.8780198 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 26 June 2019 | ||||||||
Date of first compliant Open Access: | 1 July 2019 | ||||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | ||||||||
Title of Event: | ICPS2019 IEEE International Conference on Industrial Cyber-Physical Systems | ||||||||
Type of Event: | Conference | ||||||||
Location of Event: | Taipei, Taiwan | ||||||||
Date(s) of Event: | 6-9 May 2019 | ||||||||
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