Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach
Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a devia...
Ausführliche Beschreibung
Autor*in: |
Shao, Huan [verfasserIn] Moroni, Giovanni [verfasserIn] Li, Aiping [verfasserIn] Liu, Xuemei [verfasserIn] Xu, Liyun [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Journal of manufacturing processes - Dearborn, Mich. : Soc., 1999, 57, Seite 254-273 |
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Übergeordnetes Werk: |
volume:57 ; pages:254-273 |
DOI / URN: |
10.1016/j.jmsy.2020.09.009 |
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Katalog-ID: |
ELV005125367 |
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520 | |a Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a deviation of the production rate from the actual throughput, which is used as the objective of the following optimization on BAP. This may not only reduce the solution space of BAP, but also bring about a biased overall result. | ||
650 | 4 | |a Manufacturing systems | |
650 | 4 | |a Transfer line balancing | |
650 | 4 | |a Buffer allocation | |
650 | 4 | |a Multi-objective optimization | |
650 | 4 | |a Discrete-event simulation | |
650 | 4 | |a NSGA-II | |
650 | 4 | |a MOPSO | |
700 | 1 | |a Moroni, Giovanni |e verfasserin |0 (orcid)0000-0002-7621-3382 |4 aut | |
700 | 1 | |a Li, Aiping |e verfasserin |4 aut | |
700 | 1 | |a Liu, Xuemei |e verfasserin |0 (orcid)0000-0002-3965-6539 |4 aut | |
700 | 1 | |a Xu, Liyun |e verfasserin |4 aut | |
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10.1016/j.jmsy.2020.09.009 doi (DE-627)ELV005125367 (ELSEVIER)S0278-6125(20)30169-2 DE-627 ger DE-627 rda eng 650 620 004 DE-600 Shao, Huan verfasserin (orcid)0000-0001-5346-1589 aut Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a deviation of the production rate from the actual throughput, which is used as the objective of the following optimization on BAP. This may not only reduce the solution space of BAP, but also bring about a biased overall result. Manufacturing systems Transfer line balancing Buffer allocation Multi-objective optimization Discrete-event simulation NSGA-II MOPSO Moroni, Giovanni verfasserin (orcid)0000-0002-7621-3382 aut Li, Aiping verfasserin aut Liu, Xuemei verfasserin (orcid)0000-0002-3965-6539 aut Xu, Liyun verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 57, Seite 254-273 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:57 pages:254-273 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 57 254-273 |
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10.1016/j.jmsy.2020.09.009 doi (DE-627)ELV005125367 (ELSEVIER)S0278-6125(20)30169-2 DE-627 ger DE-627 rda eng 650 620 004 DE-600 Shao, Huan verfasserin (orcid)0000-0001-5346-1589 aut Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a deviation of the production rate from the actual throughput, which is used as the objective of the following optimization on BAP. This may not only reduce the solution space of BAP, but also bring about a biased overall result. Manufacturing systems Transfer line balancing Buffer allocation Multi-objective optimization Discrete-event simulation NSGA-II MOPSO Moroni, Giovanni verfasserin (orcid)0000-0002-7621-3382 aut Li, Aiping verfasserin aut Liu, Xuemei verfasserin (orcid)0000-0002-3965-6539 aut Xu, Liyun verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 57, Seite 254-273 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:57 pages:254-273 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 57 254-273 |
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10.1016/j.jmsy.2020.09.009 doi (DE-627)ELV005125367 (ELSEVIER)S0278-6125(20)30169-2 DE-627 ger DE-627 rda eng 650 620 004 DE-600 Shao, Huan verfasserin (orcid)0000-0001-5346-1589 aut Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a deviation of the production rate from the actual throughput, which is used as the objective of the following optimization on BAP. This may not only reduce the solution space of BAP, but also bring about a biased overall result. Manufacturing systems Transfer line balancing Buffer allocation Multi-objective optimization Discrete-event simulation NSGA-II MOPSO Moroni, Giovanni verfasserin (orcid)0000-0002-7621-3382 aut Li, Aiping verfasserin aut Liu, Xuemei verfasserin (orcid)0000-0002-3965-6539 aut Xu, Liyun verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 57, Seite 254-273 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:57 pages:254-273 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 57 254-273 |
allfieldsGer |
10.1016/j.jmsy.2020.09.009 doi (DE-627)ELV005125367 (ELSEVIER)S0278-6125(20)30169-2 DE-627 ger DE-627 rda eng 650 620 004 DE-600 Shao, Huan verfasserin (orcid)0000-0001-5346-1589 aut Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a deviation of the production rate from the actual throughput, which is used as the objective of the following optimization on BAP. This may not only reduce the solution space of BAP, but also bring about a biased overall result. Manufacturing systems Transfer line balancing Buffer allocation Multi-objective optimization Discrete-event simulation NSGA-II MOPSO Moroni, Giovanni verfasserin (orcid)0000-0002-7621-3382 aut Li, Aiping verfasserin aut Liu, Xuemei verfasserin (orcid)0000-0002-3965-6539 aut Xu, Liyun verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 57, Seite 254-273 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:57 pages:254-273 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 57 254-273 |
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10.1016/j.jmsy.2020.09.009 doi (DE-627)ELV005125367 (ELSEVIER)S0278-6125(20)30169-2 DE-627 ger DE-627 rda eng 650 620 004 DE-600 Shao, Huan verfasserin (orcid)0000-0001-5346-1589 aut Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a deviation of the production rate from the actual throughput, which is used as the objective of the following optimization on BAP. This may not only reduce the solution space of BAP, but also bring about a biased overall result. Manufacturing systems Transfer line balancing Buffer allocation Multi-objective optimization Discrete-event simulation NSGA-II MOPSO Moroni, Giovanni verfasserin (orcid)0000-0002-7621-3382 aut Li, Aiping verfasserin aut Liu, Xuemei verfasserin (orcid)0000-0002-3965-6539 aut Xu, Liyun verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 57, Seite 254-273 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:57 pages:254-273 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 57 254-273 |
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Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach |
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title_full |
Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach |
author_sort |
Shao, Huan |
journal |
Journal of manufacturing processes |
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Journal of manufacturing processes |
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eng |
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600 - Technology 000 - Computer science, information & general works |
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2020 |
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254 |
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Shao, Huan Moroni, Giovanni Li, Aiping Liu, Xuemei Xu, Liyun |
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57 |
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650 620 004 DE-600 |
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Elektronische Aufsätze |
author-letter |
Shao, Huan |
doi_str_mv |
10.1016/j.jmsy.2020.09.009 |
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(ORCID)0000-0001-5346-1589 (ORCID)0000-0002-7621-3382 (ORCID)0000-0002-3965-6539 |
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(orcid)0000-0001-5346-1589 (orcid)0000-0002-7621-3382 (orcid)0000-0002-3965-6539 |
dewey-full |
650 620 004 |
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verfasserin |
title_sort |
simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach |
title_auth |
Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach |
abstract |
Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a deviation of the production rate from the actual throughput, which is used as the objective of the following optimization on BAP. This may not only reduce the solution space of BAP, but also bring about a biased overall result. |
abstractGer |
Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a deviation of the production rate from the actual throughput, which is used as the objective of the following optimization on BAP. This may not only reduce the solution space of BAP, but also bring about a biased overall result. |
abstract_unstemmed |
Two of the most researched problems on transfer line, transfer line balancing problem (TLBP) and buffer allocation problem (BAP), are usually solved separately, although they are closely interrelated. When machine tools have different reliability, the traditional balancing approaches lead to a deviation of the production rate from the actual throughput, which is used as the objective of the following optimization on BAP. This may not only reduce the solution space of BAP, but also bring about a biased overall result. |
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title_short |
Simultaneously solving the transfer line balancing and buffer allocation problems with a multi-objective approach |
remote_bool |
true |
author2 |
Moroni, Giovanni Li, Aiping Liu, Xuemei Xu, Liyun |
author2Str |
Moroni, Giovanni Li, Aiping Liu, Xuemei Xu, Liyun |
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doi_str |
10.1016/j.jmsy.2020.09.009 |
up_date |
2024-07-06T16:54:09.373Z |
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