An ISM based framework for structural relationship among various manufacturing flexibility dimensions
Abstract In the present era, when manufacturing industry is facing competitive, unpredictable, and dynamic environment, with growing complexity, and high levels of customisation, industry leaders are striving hard to invent and adopt newer technologies. The unexpected events, so called disturbances...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kumar, Shailendra [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Anmerkung: |
© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 |
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| Übergeordnetes Werk: |
Enthalten in: International Journal of Systems Assurance Engineering and Management - Springer-Verlag, 2010, 6(2014), 4 vom: 01. Juli, Seite 511-521 |
|---|---|
| Übergeordnetes Werk: |
volume:6 ; year:2014 ; number:4 ; day:01 ; month:07 ; pages:511-521 |
| Links: |
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| DOI / URN: |
10.1007/s13198-014-0279-5 |
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SPR031252354 |
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| 520 | |a Abstract In the present era, when manufacturing industry is facing competitive, unpredictable, and dynamic environment, with growing complexity, and high levels of customisation, industry leaders are striving hard to invent and adopt newer technologies. The unexpected events, so called disturbances invariably affect the overall performance of manufacturing system (MS) which can be handled by incorporating flexibility dimensions with respect to design, operation, and management of MS. In this paper, various manufacturing flexibility dimensions critical to flexible MS are identified from the literature review, and brain storming with academicians and practicing managers. Interpretive structural modeling approach is applied to develop a structural framework for 10 well accepted flexibility dimensions, which are further classified into three levels namely individual/resource, shop floor, and plant. The results indicates that flexibility dimensions performed at individual/resource level is most crucial followed by flexibility dimensions performed at level of shop floor, and level of plant in order, for MS performance. | ||
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10.1007/s13198-014-0279-5 doi (DE-627)SPR031252354 (SPR)s13198-014-0279-5-e DE-627 ger DE-627 rakwb eng Kumar, Shailendra verfasserin aut An ISM based framework for structural relationship among various manufacturing flexibility dimensions 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 Abstract In the present era, when manufacturing industry is facing competitive, unpredictable, and dynamic environment, with growing complexity, and high levels of customisation, industry leaders are striving hard to invent and adopt newer technologies. The unexpected events, so called disturbances invariably affect the overall performance of manufacturing system (MS) which can be handled by incorporating flexibility dimensions with respect to design, operation, and management of MS. In this paper, various manufacturing flexibility dimensions critical to flexible MS are identified from the literature review, and brain storming with academicians and practicing managers. Interpretive structural modeling approach is applied to develop a structural framework for 10 well accepted flexibility dimensions, which are further classified into three levels namely individual/resource, shop floor, and plant. The results indicates that flexibility dimensions performed at individual/resource level is most crucial followed by flexibility dimensions performed at level of shop floor, and level of plant in order, for MS performance. Flexibility dimensions (dpeaa)DE-He213 ISM based framework (dpeaa)DE-He213 Manufacturing flexibility (dpeaa)DE-He213 Structural relationship (dpeaa)DE-He213 Sharma, Rajiv Kumar aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 6(2014), 4 vom: 01. Juli, Seite 511-521 (DE-627)SPR031222420 nnns volume:6 year:2014 number:4 day:01 month:07 pages:511-521 https://dx.doi.org/10.1007/s13198-014-0279-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 6 2014 4 01 07 511-521 |
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10.1007/s13198-014-0279-5 doi (DE-627)SPR031252354 (SPR)s13198-014-0279-5-e DE-627 ger DE-627 rakwb eng Kumar, Shailendra verfasserin aut An ISM based framework for structural relationship among various manufacturing flexibility dimensions 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 Abstract In the present era, when manufacturing industry is facing competitive, unpredictable, and dynamic environment, with growing complexity, and high levels of customisation, industry leaders are striving hard to invent and adopt newer technologies. The unexpected events, so called disturbances invariably affect the overall performance of manufacturing system (MS) which can be handled by incorporating flexibility dimensions with respect to design, operation, and management of MS. In this paper, various manufacturing flexibility dimensions critical to flexible MS are identified from the literature review, and brain storming with academicians and practicing managers. Interpretive structural modeling approach is applied to develop a structural framework for 10 well accepted flexibility dimensions, which are further classified into three levels namely individual/resource, shop floor, and plant. The results indicates that flexibility dimensions performed at individual/resource level is most crucial followed by flexibility dimensions performed at level of shop floor, and level of plant in order, for MS performance. Flexibility dimensions (dpeaa)DE-He213 ISM based framework (dpeaa)DE-He213 Manufacturing flexibility (dpeaa)DE-He213 Structural relationship (dpeaa)DE-He213 Sharma, Rajiv Kumar aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 6(2014), 4 vom: 01. Juli, Seite 511-521 (DE-627)SPR031222420 nnns volume:6 year:2014 number:4 day:01 month:07 pages:511-521 https://dx.doi.org/10.1007/s13198-014-0279-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 6 2014 4 01 07 511-521 |
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Abstract In the present era, when manufacturing industry is facing competitive, unpredictable, and dynamic environment, with growing complexity, and high levels of customisation, industry leaders are striving hard to invent and adopt newer technologies. The unexpected events, so called disturbances invariably affect the overall performance of manufacturing system (MS) which can be handled by incorporating flexibility dimensions with respect to design, operation, and management of MS. In this paper, various manufacturing flexibility dimensions critical to flexible MS are identified from the literature review, and brain storming with academicians and practicing managers. Interpretive structural modeling approach is applied to develop a structural framework for 10 well accepted flexibility dimensions, which are further classified into three levels namely individual/resource, shop floor, and plant. The results indicates that flexibility dimensions performed at individual/resource level is most crucial followed by flexibility dimensions performed at level of shop floor, and level of plant in order, for MS performance. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 |
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Abstract In the present era, when manufacturing industry is facing competitive, unpredictable, and dynamic environment, with growing complexity, and high levels of customisation, industry leaders are striving hard to invent and adopt newer technologies. The unexpected events, so called disturbances invariably affect the overall performance of manufacturing system (MS) which can be handled by incorporating flexibility dimensions with respect to design, operation, and management of MS. In this paper, various manufacturing flexibility dimensions critical to flexible MS are identified from the literature review, and brain storming with academicians and practicing managers. Interpretive structural modeling approach is applied to develop a structural framework for 10 well accepted flexibility dimensions, which are further classified into three levels namely individual/resource, shop floor, and plant. The results indicates that flexibility dimensions performed at individual/resource level is most crucial followed by flexibility dimensions performed at level of shop floor, and level of plant in order, for MS performance. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 |
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Abstract In the present era, when manufacturing industry is facing competitive, unpredictable, and dynamic environment, with growing complexity, and high levels of customisation, industry leaders are striving hard to invent and adopt newer technologies. The unexpected events, so called disturbances invariably affect the overall performance of manufacturing system (MS) which can be handled by incorporating flexibility dimensions with respect to design, operation, and management of MS. In this paper, various manufacturing flexibility dimensions critical to flexible MS are identified from the literature review, and brain storming with academicians and practicing managers. Interpretive structural modeling approach is applied to develop a structural framework for 10 well accepted flexibility dimensions, which are further classified into three levels namely individual/resource, shop floor, and plant. The results indicates that flexibility dimensions performed at individual/resource level is most crucial followed by flexibility dimensions performed at level of shop floor, and level of plant in order, for MS performance. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR031252354</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230331061315.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s13198-014-0279-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR031252354</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s13198-014-0279-5-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kumar, Shailendra</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="3"><subfield code="a">An ISM based framework for structural relationship among various manufacturing flexibility dimensions</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In the present era, when manufacturing industry is facing competitive, unpredictable, and dynamic environment, with growing complexity, and high levels of customisation, industry leaders are striving hard to invent and adopt newer technologies. The unexpected events, so called disturbances invariably affect the overall performance of manufacturing system (MS) which can be handled by incorporating flexibility dimensions with respect to design, operation, and management of MS. In this paper, various manufacturing flexibility dimensions critical to flexible MS are identified from the literature review, and brain storming with academicians and practicing managers. Interpretive structural modeling approach is applied to develop a structural framework for 10 well accepted flexibility dimensions, which are further classified into three levels namely individual/resource, shop floor, and plant. The results indicates that flexibility dimensions performed at individual/resource level is most crucial followed by flexibility dimensions performed at level of shop floor, and level of plant in order, for MS performance.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Flexibility dimensions</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ISM based framework</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Manufacturing flexibility</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Structural relationship</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sharma, Rajiv Kumar</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International Journal of Systems Assurance Engineering and Management</subfield><subfield code="d">Springer-Verlag, 2010</subfield><subfield code="g">6(2014), 4 vom: 01. Juli, Seite 511-521</subfield><subfield code="w">(DE-627)SPR031222420</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:6</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:4</subfield><subfield code="g">day:01</subfield><subfield code="g">month:07</subfield><subfield code="g">pages:511-521</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s13198-014-0279-5</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">6</subfield><subfield code="j">2014</subfield><subfield code="e">4</subfield><subfield code="b">01</subfield><subfield code="c">07</subfield><subfield code="h">511-521</subfield></datafield></record></collection>
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