A DEA approach for comparing solution efficiency in U-line balancing problem using goal programming
Abstract Line balancing problem plays an important role in the decision making process to increase efficiency and productivity. Recently, U-shaped layout in many production lines has replaced the traditional straight line layout using just-in-time concept. Here, we propose a model, using multi-objec...
Ausführliche Beschreibung
Autor*in: |
Farkhondeh, Hami [verfasserIn] |
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Artikel |
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Sprache: |
Englisch |
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2011 |
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Anmerkung: |
© Springer-Verlag London Limited 2011 |
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Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer-Verlag, 1985, 61(2011), 9-12 vom: 25. Dez., Seite 1161-1172 |
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Übergeordnetes Werk: |
volume:61 ; year:2011 ; number:9-12 ; day:25 ; month:12 ; pages:1161-1172 |
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DOI / URN: |
10.1007/s00170-011-3773-9 |
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OLC2026042209 |
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10.1007/s00170-011-3773-9 doi (DE-627)OLC2026042209 (DE-He213)s00170-011-3773-9-p DE-627 ger DE-627 rakwb eng 670 VZ Farkhondeh, Hami verfasserin aut A DEA approach for comparing solution efficiency in U-line balancing problem using goal programming 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Limited 2011 Abstract Line balancing problem plays an important role in the decision making process to increase efficiency and productivity. Recently, U-shaped layout in many production lines has replaced the traditional straight line layout using just-in-time concept. Here, we propose a model, using multi-objective decision making approach to the U-shaped line balancing problem, to offer enhanced decision maker flexibility, by allowing for conflicting goals. The assembly line operation efficiency is the most significant aim in our study, and this efficiency relates to management of resources and the solution of line balancing problem. First, the U-shaped line balancing problem is solved considering the model's goals. Then, the index function of assembly line balancing is determined and the efficiencies of the optimal solution outputs are evaluated using data envelopment analysis (DEA). Finally, the discrimination weakness and distribution of illogical weight in simple DEA models are resolved using a mixed method. Goal programming U-shaped line balancing Data envelopment analysis (DEA) Hassanzadeh, Reza aut Mahdavi, Iraj aut Mahdavi-Amiri, Nezam aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 61(2011), 9-12 vom: 25. Dez., Seite 1161-1172 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:61 year:2011 number:9-12 day:25 month:12 pages:1161-1172 https://doi.org/10.1007/s00170-011-3773-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 AR 61 2011 9-12 25 12 1161-1172 |
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10.1007/s00170-011-3773-9 doi (DE-627)OLC2026042209 (DE-He213)s00170-011-3773-9-p DE-627 ger DE-627 rakwb eng 670 VZ Farkhondeh, Hami verfasserin aut A DEA approach for comparing solution efficiency in U-line balancing problem using goal programming 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Limited 2011 Abstract Line balancing problem plays an important role in the decision making process to increase efficiency and productivity. Recently, U-shaped layout in many production lines has replaced the traditional straight line layout using just-in-time concept. Here, we propose a model, using multi-objective decision making approach to the U-shaped line balancing problem, to offer enhanced decision maker flexibility, by allowing for conflicting goals. The assembly line operation efficiency is the most significant aim in our study, and this efficiency relates to management of resources and the solution of line balancing problem. First, the U-shaped line balancing problem is solved considering the model's goals. Then, the index function of assembly line balancing is determined and the efficiencies of the optimal solution outputs are evaluated using data envelopment analysis (DEA). Finally, the discrimination weakness and distribution of illogical weight in simple DEA models are resolved using a mixed method. Goal programming U-shaped line balancing Data envelopment analysis (DEA) Hassanzadeh, Reza aut Mahdavi, Iraj aut Mahdavi-Amiri, Nezam aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 61(2011), 9-12 vom: 25. Dez., Seite 1161-1172 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:61 year:2011 number:9-12 day:25 month:12 pages:1161-1172 https://doi.org/10.1007/s00170-011-3773-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 AR 61 2011 9-12 25 12 1161-1172 |
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10.1007/s00170-011-3773-9 doi (DE-627)OLC2026042209 (DE-He213)s00170-011-3773-9-p DE-627 ger DE-627 rakwb eng 670 VZ Farkhondeh, Hami verfasserin aut A DEA approach for comparing solution efficiency in U-line balancing problem using goal programming 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Limited 2011 Abstract Line balancing problem plays an important role in the decision making process to increase efficiency and productivity. Recently, U-shaped layout in many production lines has replaced the traditional straight line layout using just-in-time concept. Here, we propose a model, using multi-objective decision making approach to the U-shaped line balancing problem, to offer enhanced decision maker flexibility, by allowing for conflicting goals. The assembly line operation efficiency is the most significant aim in our study, and this efficiency relates to management of resources and the solution of line balancing problem. First, the U-shaped line balancing problem is solved considering the model's goals. Then, the index function of assembly line balancing is determined and the efficiencies of the optimal solution outputs are evaluated using data envelopment analysis (DEA). Finally, the discrimination weakness and distribution of illogical weight in simple DEA models are resolved using a mixed method. Goal programming U-shaped line balancing Data envelopment analysis (DEA) Hassanzadeh, Reza aut Mahdavi, Iraj aut Mahdavi-Amiri, Nezam aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 61(2011), 9-12 vom: 25. Dez., Seite 1161-1172 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:61 year:2011 number:9-12 day:25 month:12 pages:1161-1172 https://doi.org/10.1007/s00170-011-3773-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 AR 61 2011 9-12 25 12 1161-1172 |
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10.1007/s00170-011-3773-9 doi (DE-627)OLC2026042209 (DE-He213)s00170-011-3773-9-p DE-627 ger DE-627 rakwb eng 670 VZ Farkhondeh, Hami verfasserin aut A DEA approach for comparing solution efficiency in U-line balancing problem using goal programming 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Limited 2011 Abstract Line balancing problem plays an important role in the decision making process to increase efficiency and productivity. Recently, U-shaped layout in many production lines has replaced the traditional straight line layout using just-in-time concept. Here, we propose a model, using multi-objective decision making approach to the U-shaped line balancing problem, to offer enhanced decision maker flexibility, by allowing for conflicting goals. The assembly line operation efficiency is the most significant aim in our study, and this efficiency relates to management of resources and the solution of line balancing problem. First, the U-shaped line balancing problem is solved considering the model's goals. Then, the index function of assembly line balancing is determined and the efficiencies of the optimal solution outputs are evaluated using data envelopment analysis (DEA). Finally, the discrimination weakness and distribution of illogical weight in simple DEA models are resolved using a mixed method. Goal programming U-shaped line balancing Data envelopment analysis (DEA) Hassanzadeh, Reza aut Mahdavi, Iraj aut Mahdavi-Amiri, Nezam aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 61(2011), 9-12 vom: 25. Dez., Seite 1161-1172 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:61 year:2011 number:9-12 day:25 month:12 pages:1161-1172 https://doi.org/10.1007/s00170-011-3773-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 AR 61 2011 9-12 25 12 1161-1172 |
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Abstract Line balancing problem plays an important role in the decision making process to increase efficiency and productivity. Recently, U-shaped layout in many production lines has replaced the traditional straight line layout using just-in-time concept. Here, we propose a model, using multi-objective decision making approach to the U-shaped line balancing problem, to offer enhanced decision maker flexibility, by allowing for conflicting goals. The assembly line operation efficiency is the most significant aim in our study, and this efficiency relates to management of resources and the solution of line balancing problem. First, the U-shaped line balancing problem is solved considering the model's goals. Then, the index function of assembly line balancing is determined and the efficiencies of the optimal solution outputs are evaluated using data envelopment analysis (DEA). Finally, the discrimination weakness and distribution of illogical weight in simple DEA models are resolved using a mixed method. © Springer-Verlag London Limited 2011 |
abstractGer |
Abstract Line balancing problem plays an important role in the decision making process to increase efficiency and productivity. Recently, U-shaped layout in many production lines has replaced the traditional straight line layout using just-in-time concept. Here, we propose a model, using multi-objective decision making approach to the U-shaped line balancing problem, to offer enhanced decision maker flexibility, by allowing for conflicting goals. The assembly line operation efficiency is the most significant aim in our study, and this efficiency relates to management of resources and the solution of line balancing problem. First, the U-shaped line balancing problem is solved considering the model's goals. Then, the index function of assembly line balancing is determined and the efficiencies of the optimal solution outputs are evaluated using data envelopment analysis (DEA). Finally, the discrimination weakness and distribution of illogical weight in simple DEA models are resolved using a mixed method. © Springer-Verlag London Limited 2011 |
abstract_unstemmed |
Abstract Line balancing problem plays an important role in the decision making process to increase efficiency and productivity. Recently, U-shaped layout in many production lines has replaced the traditional straight line layout using just-in-time concept. Here, we propose a model, using multi-objective decision making approach to the U-shaped line balancing problem, to offer enhanced decision maker flexibility, by allowing for conflicting goals. The assembly line operation efficiency is the most significant aim in our study, and this efficiency relates to management of resources and the solution of line balancing problem. First, the U-shaped line balancing problem is solved considering the model's goals. Then, the index function of assembly line balancing is determined and the efficiencies of the optimal solution outputs are evaluated using data envelopment analysis (DEA). Finally, the discrimination weakness and distribution of illogical weight in simple DEA models are resolved using a mixed method. © Springer-Verlag London Limited 2011 |
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container_issue |
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title_short |
A DEA approach for comparing solution efficiency in U-line balancing problem using goal programming |
url |
https://doi.org/10.1007/s00170-011-3773-9 |
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author2 |
Hassanzadeh, Reza Mahdavi, Iraj Mahdavi-Amiri, Nezam |
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Hassanzadeh, Reza Mahdavi, Iraj Mahdavi-Amiri, Nezam |
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up_date |
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