Engineering Mathematical Analysis Method for Productivity Rate in Linear Arrangement Serial Structure Automated Flow Assembly Line
Productivity rate (Q) or production rate is one of the important indicator criteria for industrial engineer to improve the system and finish good output in production or assembly line. Mathematical and statistical analysis method is required to be applied for productivity rate in industry visual ove...
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| Veröffentlicht in: | Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-10 |
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| container_title | Mathematical problems in engineering |
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| creator | Amin Hamzas, Mohd Fidzwan B. Md Fairuz, M. A. Usubamatov, Ryspek Chan Sin, Tan Kin Wai, Low |
| description | Productivity rate (Q) or production rate is one of the important indicator criteria for industrial engineer to improve the system and finish good output in production or assembly line. Mathematical and statistical analysis method is required to be applied for productivity rate in industry visual overviews of the failure factors and further improvement within the production line especially for automated flow line since it is complicated. Mathematical model of productivity rate in linear arrangement serial structure automated flow line with different failure rate and bottleneck machining time parameters becomes the basic model for this productivity analysis. This paper presents the engineering mathematical analysis method which is applied in an automotive company which possesses automated flow assembly line in final assembly line to produce motorcycle in Malaysia. DCAS engineering and mathematical analysis method that consists of four stages known as data collection, calculation and comparison, analysis, and sustainable improvement is used to analyze productivity in automated flow assembly line based on particular mathematical model. Variety of failure rate that causes loss of productivity and bottleneck machining time is shown specifically in mathematic figure and presents the sustainable solution for productivity improvement for this final assembly automated flow line. |
| doi_str_mv | 10.1155/2015/592061 |
| format | Article |
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Md ; Fairuz, M. A. ; Usubamatov, Ryspek ; Chan Sin, Tan ; Kin Wai, Low</creator><contributor>Wang, Qing-Wen</contributor><creatorcontrib>Amin Hamzas, Mohd Fidzwan B. Md ; Fairuz, M. A. ; Usubamatov, Ryspek ; Chan Sin, Tan ; Kin Wai, Low ; Wang, Qing-Wen</creatorcontrib><description>Productivity rate (Q) or production rate is one of the important indicator criteria for industrial engineer to improve the system and finish good output in production or assembly line. Mathematical and statistical analysis method is required to be applied for productivity rate in industry visual overviews of the failure factors and further improvement within the production line especially for automated flow line since it is complicated. Mathematical model of productivity rate in linear arrangement serial structure automated flow line with different failure rate and bottleneck machining time parameters becomes the basic model for this productivity analysis. This paper presents the engineering mathematical analysis method which is applied in an automotive company which possesses automated flow assembly line in final assembly line to produce motorcycle in Malaysia. DCAS engineering and mathematical analysis method that consists of four stages known as data collection, calculation and comparison, analysis, and sustainable improvement is used to analyze productivity in automated flow assembly line based on particular mathematical model. Variety of failure rate that causes loss of productivity and bottleneck machining time is shown specifically in mathematic figure and presents the sustainable solution for productivity improvement for this final assembly automated flow line.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2015/592061</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Assembly lines ; Automated ; Automation ; Company structure ; Engineering ; Engineers ; Failure rates ; Machining ; Manufacturing ; Mathematical analysis ; Mathematical models ; Motorcycles ; Production lines ; Productivity ; Raw materials ; Serials ; Statistical analysis ; Statistical methods ; Variables ; Visual aspects ; Work stations</subject><ispartof>Mathematical problems in engineering, 2015-01, Vol.2015 (2015), p.1-10</ispartof><rights>Copyright © 2015 Tan Chan Sin et al.</rights><rights>Copyright © 2015 Tan Chan Sin et al. Tan Chan Sin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c347t-603da9832594be4f8b7d1825c18682a30b2d9047fb92f9ba95e633bf1b0f86073</cites><orcidid>0000-0002-3506-2872 ; 0000-0002-5727-7401</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><contributor>Wang, Qing-Wen</contributor><creatorcontrib>Amin Hamzas, Mohd Fidzwan B. Md</creatorcontrib><creatorcontrib>Fairuz, M. 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Mathematical model of productivity rate in linear arrangement serial structure automated flow line with different failure rate and bottleneck machining time parameters becomes the basic model for this productivity analysis. This paper presents the engineering mathematical analysis method which is applied in an automotive company which possesses automated flow assembly line in final assembly line to produce motorcycle in Malaysia. DCAS engineering and mathematical analysis method that consists of four stages known as data collection, calculation and comparison, analysis, and sustainable improvement is used to analyze productivity in automated flow assembly line based on particular mathematical model. Variety of failure rate that causes loss of productivity and bottleneck machining time is shown specifically in mathematic figure and presents the sustainable solution for productivity improvement for this final assembly automated flow line.</description><subject>Assembly lines</subject><subject>Automated</subject><subject>Automation</subject><subject>Company structure</subject><subject>Engineering</subject><subject>Engineers</subject><subject>Failure rates</subject><subject>Machining</subject><subject>Manufacturing</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Motorcycles</subject><subject>Production lines</subject><subject>Productivity</subject><subject>Raw materials</subject><subject>Serials</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Variables</subject><subject>Visual aspects</subject><subject>Work stations</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkb9P3TAUhS0EEvDKxI4ssSCqFP-InXiMELSVHgJBK7FFTnLznlFig-2A3tq_HL-mA-rCdO_wnW84B6FjSr5RKsQFI1RcCMWIpDvogArJM0HzYjf9hOUZZfxxHx2G8EQIo4KWB-jPlV0ZC-CNXeEbHdcw6mhaPeDK6mETTMA3ENeuw73z-M67bmqjeTVxg-91BGwsXqa89rjyXtsVjGAjfki-pHiIPtGTB1xN0SUxdPh6cG-4CgHGZtj8zX5Be70eAhz9uwv0-_rq1-WPbHn7_edltcxanhcxk4R3WpWcCZU3kPdlU3S0ZKKlpSyZ5qRhnSJ50TeK9arRSoDkvOlpQ_pSkoIv0NnsffbuZYIQ69GEFoZBW3BTqKmUqkwuxRN6-h_65CafCtlSgpCCstTtAn2dqda7EDz09bM3o_abmpJ6u0e93aOe90j0-Uyvje30m_kEPpnhNEcS6w9wkTMm-TuRH5RU</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Amin Hamzas, Mohd Fidzwan B. 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| subjects | Assembly lines Automated Automation Company structure Engineering Engineers Failure rates Machining Manufacturing Mathematical analysis Mathematical models Motorcycles Production lines Productivity Raw materials Serials Statistical analysis Statistical methods Variables Visual aspects Work stations |
| title | Engineering Mathematical Analysis Method for Productivity Rate in Linear Arrangement Serial Structure Automated Flow Assembly Line |
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