Applying multi-objective planning in low-carbon product design
Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing...
Ausführliche Beschreibung
Autor*in: |
Kuo, Tsai Chi [verfasserIn] Chen, Hsiao Min [verfasserIn] Liu, Chia Yi [verfasserIn] Tu, Jui-Che [verfasserIn] Yeh, Tzu-Chang [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2014 |
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Übergeordnetes Werk: |
Enthalten in: International journal of precision engineering and manufacturing - Sŏul : KSPE, 2009, 15(2014), 2 vom: Feb., Seite 241-249 |
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Übergeordnetes Werk: |
volume:15 ; year:2014 ; number:2 ; month:02 ; pages:241-249 |
Links: |
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DOI / URN: |
10.1007/s12541-014-0331-z |
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Katalog-ID: |
SPR026094606 |
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520 | |a Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis. | ||
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700 | 1 | |a Yeh, Tzu-Chang |e verfasserin |4 aut | |
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10.1007/s12541-014-0331-z doi (DE-627)SPR026094606 (SPR)s12541-014-0331-z-e DE-627 ger DE-627 rakwb eng 600 ASE Kuo, Tsai Chi verfasserin aut Applying multi-objective planning in low-carbon product design 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis. Lower carbon product design (dpeaa)DE-He213 Multi-objective planning (dpeaa)DE-He213 GHG emissions (dpeaa)DE-He213 Product design (dpeaa)DE-He213 Chen, Hsiao Min verfasserin aut Liu, Chia Yi verfasserin aut Tu, Jui-Che verfasserin aut Yeh, Tzu-Chang verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 15(2014), 2 vom: Feb., Seite 241-249 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:15 year:2014 number:2 month:02 pages:241-249 https://dx.doi.org/10.1007/s12541-014-0331-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2014 2 02 241-249 |
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10.1007/s12541-014-0331-z doi (DE-627)SPR026094606 (SPR)s12541-014-0331-z-e DE-627 ger DE-627 rakwb eng 600 ASE Kuo, Tsai Chi verfasserin aut Applying multi-objective planning in low-carbon product design 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis. Lower carbon product design (dpeaa)DE-He213 Multi-objective planning (dpeaa)DE-He213 GHG emissions (dpeaa)DE-He213 Product design (dpeaa)DE-He213 Chen, Hsiao Min verfasserin aut Liu, Chia Yi verfasserin aut Tu, Jui-Che verfasserin aut Yeh, Tzu-Chang verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 15(2014), 2 vom: Feb., Seite 241-249 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:15 year:2014 number:2 month:02 pages:241-249 https://dx.doi.org/10.1007/s12541-014-0331-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2014 2 02 241-249 |
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10.1007/s12541-014-0331-z doi (DE-627)SPR026094606 (SPR)s12541-014-0331-z-e DE-627 ger DE-627 rakwb eng 600 ASE Kuo, Tsai Chi verfasserin aut Applying multi-objective planning in low-carbon product design 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis. Lower carbon product design (dpeaa)DE-He213 Multi-objective planning (dpeaa)DE-He213 GHG emissions (dpeaa)DE-He213 Product design (dpeaa)DE-He213 Chen, Hsiao Min verfasserin aut Liu, Chia Yi verfasserin aut Tu, Jui-Che verfasserin aut Yeh, Tzu-Chang verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 15(2014), 2 vom: Feb., Seite 241-249 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:15 year:2014 number:2 month:02 pages:241-249 https://dx.doi.org/10.1007/s12541-014-0331-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2014 2 02 241-249 |
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10.1007/s12541-014-0331-z doi (DE-627)SPR026094606 (SPR)s12541-014-0331-z-e DE-627 ger DE-627 rakwb eng 600 ASE Kuo, Tsai Chi verfasserin aut Applying multi-objective planning in low-carbon product design 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis. Lower carbon product design (dpeaa)DE-He213 Multi-objective planning (dpeaa)DE-He213 GHG emissions (dpeaa)DE-He213 Product design (dpeaa)DE-He213 Chen, Hsiao Min verfasserin aut Liu, Chia Yi verfasserin aut Tu, Jui-Che verfasserin aut Yeh, Tzu-Chang verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 15(2014), 2 vom: Feb., Seite 241-249 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:15 year:2014 number:2 month:02 pages:241-249 https://dx.doi.org/10.1007/s12541-014-0331-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2014 2 02 241-249 |
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10.1007/s12541-014-0331-z doi (DE-627)SPR026094606 (SPR)s12541-014-0331-z-e DE-627 ger DE-627 rakwb eng 600 ASE Kuo, Tsai Chi verfasserin aut Applying multi-objective planning in low-carbon product design 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis. Lower carbon product design (dpeaa)DE-He213 Multi-objective planning (dpeaa)DE-He213 GHG emissions (dpeaa)DE-He213 Product design (dpeaa)DE-He213 Chen, Hsiao Min verfasserin aut Liu, Chia Yi verfasserin aut Tu, Jui-Che verfasserin aut Yeh, Tzu-Chang verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 15(2014), 2 vom: Feb., Seite 241-249 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:15 year:2014 number:2 month:02 pages:241-249 https://dx.doi.org/10.1007/s12541-014-0331-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2014 2 02 241-249 |
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Enthalten in International journal of precision engineering and manufacturing 15(2014), 2 vom: Feb., Seite 241-249 volume:15 year:2014 number:2 month:02 pages:241-249 |
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International journal of precision engineering and manufacturing |
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Kuo, Tsai Chi @@aut@@ Chen, Hsiao Min @@aut@@ Liu, Chia Yi @@aut@@ Tu, Jui-Che @@aut@@ Yeh, Tzu-Chang @@aut@@ |
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Kuo, Tsai Chi |
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applying multi-objective planning in low-carbon product design |
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Applying multi-objective planning in low-carbon product design |
abstract |
Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis. |
abstractGer |
Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis. |
abstract_unstemmed |
Abstract In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis. |
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title_short |
Applying multi-objective planning in low-carbon product design |
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https://dx.doi.org/10.1007/s12541-014-0331-z |
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author2 |
Chen, Hsiao Min Liu, Chia Yi Tu, Jui-Che Yeh, Tzu-Chang |
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Chen, Hsiao Min Liu, Chia Yi Tu, Jui-Che Yeh, Tzu-Chang |
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doi_str |
10.1007/s12541-014-0331-z |
up_date |
2024-07-03T18:51:14.909Z |
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|
score |
7.401105 |