An empirical validation of integrated manufacturing business excellence model
The integrated manufacturing system is one of the foremost operational strategies adapted by manufacturing organizations to overcome environmental and manufacturing uncertainties and to come out from global economic crisis. Adding value to the manufacturing industry in terms of sustainability and al...
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Veröffentlicht in: | International journal of advanced manufacturing technology 2017-09, Vol.92 (5-8), p.2569-2591 |
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creator | Paranitharan, K P Ramesh, Babu T Pal, Pandi A Jeyathilagar, D |
description | The integrated manufacturing system is one of the foremost operational strategies adapted by manufacturing organizations to overcome environmental and manufacturing uncertainties and to come out from global economic crisis. Adding value to the manufacturing industry in terms of sustainability and also in compliance with the requirement of the stakeholders, a new approach was designed by developing an integrated model. In this paper, the authors have adopted various literature reviews to develop an integrated model for manufacturing industries called integrated manufacturing business excellence system. The integrated manufacturing business excellence system is nothing but a bundle of global manufacturing management concepts, namely total quality management, total productive maintenance, corporate social responsibility, knowledge management, lean manufacturing, agile manufacturing, and sustainable manufacturing. The proposed model comprises of ten constructs, namely visionary leadership and management commitment, systematic approach to management, customer focus and satisfaction, continuous improvement and innovation, workforce management, manufacturing strategy, manufacturing practice audit system, and technology management and information system. In order to test the proposed framework by empirical means, a research instrument was constructed with a total number of 91 items identified under the above ten constructs of integrated manufacturing business excellence system model and collected data scientifically. The psychometric test results of our data set are within defined ranges. Further, we performed a confirmatory analysis to check the validity of ten constructs. The results of multivariate analysis suggest that the proposed ten constructs are valid. The model has a good fit based on goodness of fit indices obtained through structural equation modeling approach. |
doi_str_mv | 10.1007/s00170-017-0271-8 |
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Adding value to the manufacturing industry in terms of sustainability and also in compliance with the requirement of the stakeholders, a new approach was designed by developing an integrated model. In this paper, the authors have adopted various literature reviews to develop an integrated model for manufacturing industries called integrated manufacturing business excellence system. The integrated manufacturing business excellence system is nothing but a bundle of global manufacturing management concepts, namely total quality management, total productive maintenance, corporate social responsibility, knowledge management, lean manufacturing, agile manufacturing, and sustainable manufacturing. The proposed model comprises of ten constructs, namely visionary leadership and management commitment, systematic approach to management, customer focus and satisfaction, continuous improvement and innovation, workforce management, manufacturing strategy, manufacturing practice audit system, and technology management and information system. In order to test the proposed framework by empirical means, a research instrument was constructed with a total number of 91 items identified under the above ten constructs of integrated manufacturing business excellence system model and collected data scientifically. The psychometric test results of our data set are within defined ranges. Further, we performed a confirmatory analysis to check the validity of ten constructs. The results of multivariate analysis suggest that the proposed ten constructs are valid. The model has a good fit based on goodness of fit indices obtained through structural equation modeling approach.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-017-0271-8</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Agile manufacturing ; Bundling ; Business ; CAE) and Design ; Computer-Aided Engineering (CAD ; Continuous improvement ; Customer satisfaction ; Data collection ; Economic crisis ; Empirical analysis ; Engineering ; Global economy ; Goodness of fit ; Industrial and Production Engineering ; Information management ; Innovations ; Knowledge management ; Leadership ; Lean manufacturing ; Literature reviews ; Manufacturing industry ; Mechanical Engineering ; Media Management ; Multivariate analysis ; Multivariate statistical analysis ; Original Article ; Production planning ; Quality management ; Social responsibility ; Sustainability ; Sustainable production ; Total quality management</subject><ispartof>International journal of advanced manufacturing technology, 2017-09, Vol.92 (5-8), p.2569-2591</ispartof><rights>Springer-Verlag London 2017</rights><rights>Copyright Springer Science & Business Media 2017</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2017). All Rights Reserved.</rights><rights>Springer-Verlag London 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-9e5ac64fd59b7cacc6d7e66feff671828478df3c8d699997eb137a768795128b3</citedby><cites>FETCH-LOGICAL-c415t-9e5ac64fd59b7cacc6d7e66feff671828478df3c8d699997eb137a768795128b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-017-0271-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-017-0271-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Paranitharan, K P</creatorcontrib><creatorcontrib>Ramesh, Babu T</creatorcontrib><creatorcontrib>Pal, Pandi A</creatorcontrib><creatorcontrib>Jeyathilagar, D</creatorcontrib><title>An empirical validation of integrated manufacturing business excellence model</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>The integrated manufacturing system is one of the foremost operational strategies adapted by manufacturing organizations to overcome environmental and manufacturing uncertainties and to come out from global economic crisis. Adding value to the manufacturing industry in terms of sustainability and also in compliance with the requirement of the stakeholders, a new approach was designed by developing an integrated model. In this paper, the authors have adopted various literature reviews to develop an integrated model for manufacturing industries called integrated manufacturing business excellence system. The integrated manufacturing business excellence system is nothing but a bundle of global manufacturing management concepts, namely total quality management, total productive maintenance, corporate social responsibility, knowledge management, lean manufacturing, agile manufacturing, and sustainable manufacturing. The proposed model comprises of ten constructs, namely visionary leadership and management commitment, systematic approach to management, customer focus and satisfaction, continuous improvement and innovation, workforce management, manufacturing strategy, manufacturing practice audit system, and technology management and information system. In order to test the proposed framework by empirical means, a research instrument was constructed with a total number of 91 items identified under the above ten constructs of integrated manufacturing business excellence system model and collected data scientifically. The psychometric test results of our data set are within defined ranges. Further, we performed a confirmatory analysis to check the validity of ten constructs. The results of multivariate analysis suggest that the proposed ten constructs are valid. The model has a good fit based on goodness of fit indices obtained through structural equation modeling approach.</description><subject>Agile manufacturing</subject><subject>Bundling</subject><subject>Business</subject><subject>CAE) and Design</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Continuous improvement</subject><subject>Customer satisfaction</subject><subject>Data collection</subject><subject>Economic crisis</subject><subject>Empirical analysis</subject><subject>Engineering</subject><subject>Global economy</subject><subject>Goodness of fit</subject><subject>Industrial and Production Engineering</subject><subject>Information management</subject><subject>Innovations</subject><subject>Knowledge management</subject><subject>Leadership</subject><subject>Lean manufacturing</subject><subject>Literature reviews</subject><subject>Manufacturing industry</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Multivariate analysis</subject><subject>Multivariate statistical analysis</subject><subject>Original Article</subject><subject>Production planning</subject><subject>Quality management</subject><subject>Social responsibility</subject><subject>Sustainability</subject><subject>Sustainable production</subject><subject>Total quality management</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kT1PwzAQhi0EEqXwA9giMRv8kdjOWFV8SUUsMFuOc65cJU6wEwT_HldlYKE3vLc8793pXoSuKbmlhMi7RAiVBGfBhEmK1Qla0JJzzAmtTtGCMKEwl0Kdo4uUdpkWVKgFelmFAvrRR29NV3yazrdm8kMoBlf4MME2mgnaojdhdsZOc_RhWzRz8gFSKuDLQtdBsFD0QwvdJTpzpktw9duX6P3h_m39hDevj8_r1QbbklYTrqEyVpSurepGWmOtaCUI4cA5IaliqpSqddyqVtS5JDSUS5OPl3VFmWr4Et0c5o5x-JghTXo3zDHklZqVNVFCiLo8SjHBOKt5WR2jaM3zOlVSlil6oGwcUorg9Bh9b-K3pkTvE9CHBHQWvU9Aq-xhB08a92-D-Gfyv6YfkbaHew</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Paranitharan, K P</creator><creator>Ramesh, Babu T</creator><creator>Pal, Pandi A</creator><creator>Jeyathilagar, D</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20170901</creationdate><title>An empirical validation of integrated manufacturing business excellence model</title><author>Paranitharan, K P ; Ramesh, Babu T ; Pal, Pandi A ; Jeyathilagar, D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-9e5ac64fd59b7cacc6d7e66feff671828478df3c8d699997eb137a768795128b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Agile manufacturing</topic><topic>Bundling</topic><topic>Business</topic><topic>CAE) and Design</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Continuous improvement</topic><topic>Customer satisfaction</topic><topic>Data collection</topic><topic>Economic crisis</topic><topic>Empirical analysis</topic><topic>Engineering</topic><topic>Global economy</topic><topic>Goodness of fit</topic><topic>Industrial and Production Engineering</topic><topic>Information management</topic><topic>Innovations</topic><topic>Knowledge management</topic><topic>Leadership</topic><topic>Lean manufacturing</topic><topic>Literature reviews</topic><topic>Manufacturing industry</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Multivariate analysis</topic><topic>Multivariate statistical analysis</topic><topic>Original Article</topic><topic>Production planning</topic><topic>Quality management</topic><topic>Social responsibility</topic><topic>Sustainability</topic><topic>Sustainable production</topic><topic>Total quality management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Paranitharan, K P</creatorcontrib><creatorcontrib>Ramesh, Babu T</creatorcontrib><creatorcontrib>Pal, Pandi A</creatorcontrib><creatorcontrib>Jeyathilagar, D</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Paranitharan, K P</au><au>Ramesh, Babu T</au><au>Pal, Pandi A</au><au>Jeyathilagar, D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An empirical validation of integrated manufacturing business excellence model</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2017-09-01</date><risdate>2017</risdate><volume>92</volume><issue>5-8</issue><spage>2569</spage><epage>2591</epage><pages>2569-2591</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>The integrated manufacturing system is one of the foremost operational strategies adapted by manufacturing organizations to overcome environmental and manufacturing uncertainties and to come out from global economic crisis. Adding value to the manufacturing industry in terms of sustainability and also in compliance with the requirement of the stakeholders, a new approach was designed by developing an integrated model. In this paper, the authors have adopted various literature reviews to develop an integrated model for manufacturing industries called integrated manufacturing business excellence system. The integrated manufacturing business excellence system is nothing but a bundle of global manufacturing management concepts, namely total quality management, total productive maintenance, corporate social responsibility, knowledge management, lean manufacturing, agile manufacturing, and sustainable manufacturing. The proposed model comprises of ten constructs, namely visionary leadership and management commitment, systematic approach to management, customer focus and satisfaction, continuous improvement and innovation, workforce management, manufacturing strategy, manufacturing practice audit system, and technology management and information system. In order to test the proposed framework by empirical means, a research instrument was constructed with a total number of 91 items identified under the above ten constructs of integrated manufacturing business excellence system model and collected data scientifically. The psychometric test results of our data set are within defined ranges. Further, we performed a confirmatory analysis to check the validity of ten constructs. The results of multivariate analysis suggest that the proposed ten constructs are valid. 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subjects | Agile manufacturing Bundling Business CAE) and Design Computer-Aided Engineering (CAD Continuous improvement Customer satisfaction Data collection Economic crisis Empirical analysis Engineering Global economy Goodness of fit Industrial and Production Engineering Information management Innovations Knowledge management Leadership Lean manufacturing Literature reviews Manufacturing industry Mechanical Engineering Media Management Multivariate analysis Multivariate statistical analysis Original Article Production planning Quality management Social responsibility Sustainability Sustainable production Total quality management |
title | An empirical validation of integrated manufacturing business excellence model |
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