A decision support system to estimate the carbon emission and cost of product designs
Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emissi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Su, Jack C. P. [verfasserIn] Chu, Chih-Hsing [verfasserIn] Wang, Yu-Te [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: International journal of precision engineering and manufacturing - Sŏul : KSPE, 2009, 13(2012), 7 vom: Juli, Seite 1037-1045 |
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| Übergeordnetes Werk: |
volume:13 ; year:2012 ; number:7 ; month:07 ; pages:1037-1045 |
| Links: |
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| DOI / URN: |
10.1007/s12541-012-0135-y |
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| Katalog-ID: |
SPR026089009 |
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| 520 | |a Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system. | ||
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| 650 | 4 | |a Green supply chain |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Wang, Yu-Te |e verfasserin |4 aut | |
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10.1007/s12541-012-0135-y doi (DE-627)SPR026089009 (SPR)s12541-012-0135-y-e DE-627 ger DE-627 rakwb eng 600 ASE Su, Jack C. P. verfasserin aut A decision support system to estimate the carbon emission and cost of product designs 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system. Green product design (dpeaa)DE-He213 Life cycle analysis (dpeaa)DE-He213 Green supply chain (dpeaa)DE-He213 Chu, Chih-Hsing verfasserin aut Wang, Yu-Te verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 13(2012), 7 vom: Juli, Seite 1037-1045 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:13 year:2012 number:7 month:07 pages:1037-1045 https://dx.doi.org/10.1007/s12541-012-0135-y 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 13 2012 7 07 1037-1045 |
| spelling |
10.1007/s12541-012-0135-y doi (DE-627)SPR026089009 (SPR)s12541-012-0135-y-e DE-627 ger DE-627 rakwb eng 600 ASE Su, Jack C. P. verfasserin aut A decision support system to estimate the carbon emission and cost of product designs 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system. Green product design (dpeaa)DE-He213 Life cycle analysis (dpeaa)DE-He213 Green supply chain (dpeaa)DE-He213 Chu, Chih-Hsing verfasserin aut Wang, Yu-Te verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 13(2012), 7 vom: Juli, Seite 1037-1045 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:13 year:2012 number:7 month:07 pages:1037-1045 https://dx.doi.org/10.1007/s12541-012-0135-y 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 13 2012 7 07 1037-1045 |
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10.1007/s12541-012-0135-y doi (DE-627)SPR026089009 (SPR)s12541-012-0135-y-e DE-627 ger DE-627 rakwb eng 600 ASE Su, Jack C. P. verfasserin aut A decision support system to estimate the carbon emission and cost of product designs 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system. Green product design (dpeaa)DE-He213 Life cycle analysis (dpeaa)DE-He213 Green supply chain (dpeaa)DE-He213 Chu, Chih-Hsing verfasserin aut Wang, Yu-Te verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 13(2012), 7 vom: Juli, Seite 1037-1045 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:13 year:2012 number:7 month:07 pages:1037-1045 https://dx.doi.org/10.1007/s12541-012-0135-y 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 13 2012 7 07 1037-1045 |
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10.1007/s12541-012-0135-y doi (DE-627)SPR026089009 (SPR)s12541-012-0135-y-e DE-627 ger DE-627 rakwb eng 600 ASE Su, Jack C. P. verfasserin aut A decision support system to estimate the carbon emission and cost of product designs 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system. Green product design (dpeaa)DE-He213 Life cycle analysis (dpeaa)DE-He213 Green supply chain (dpeaa)DE-He213 Chu, Chih-Hsing verfasserin aut Wang, Yu-Te verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 13(2012), 7 vom: Juli, Seite 1037-1045 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:13 year:2012 number:7 month:07 pages:1037-1045 https://dx.doi.org/10.1007/s12541-012-0135-y 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 13 2012 7 07 1037-1045 |
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10.1007/s12541-012-0135-y doi (DE-627)SPR026089009 (SPR)s12541-012-0135-y-e DE-627 ger DE-627 rakwb eng 600 ASE Su, Jack C. P. verfasserin aut A decision support system to estimate the carbon emission and cost of product designs 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system. Green product design (dpeaa)DE-He213 Life cycle analysis (dpeaa)DE-He213 Green supply chain (dpeaa)DE-He213 Chu, Chih-Hsing verfasserin aut Wang, Yu-Te verfasserin aut Enthalten in International journal of precision engineering and manufacturing Sŏul : KSPE, 2009 13(2012), 7 vom: Juli, Seite 1037-1045 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:13 year:2012 number:7 month:07 pages:1037-1045 https://dx.doi.org/10.1007/s12541-012-0135-y 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 13 2012 7 07 1037-1045 |
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Su, Jack C. P. ddc 600 misc Green product design misc Life cycle analysis misc Green supply chain A decision support system to estimate the carbon emission and cost of product designs |
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600 ASE A decision support system to estimate the carbon emission and cost of product designs Green product design (dpeaa)DE-He213 Life cycle analysis (dpeaa)DE-He213 Green supply chain (dpeaa)DE-He213 |
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decision support system to estimate the carbon emission and cost of product designs |
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A decision support system to estimate the carbon emission and cost of product designs |
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Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system. |
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Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system. |
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Abstract Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system. |
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