AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM

In this study, a new integrated approach is presented to solve the facility layout problem with unequal areas in an open field. This approach includes a two-stage method and a bi-level genetic algorithm. In the first stage of the proposed method, the arrangement of departments adjacent to each other...
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Gespeichert in:

Autor*in:	Mohamadi, Arash [verfasserIn] Ebrahimnejad, Sadalah [verfasserIn] Soltani, Roya [verfasserIn] Khalilzadeh, Mohammad [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	production process increased productivity increased material flow speed good arranging of material flow

Übergeordnetes Werk:	In: South African Journal of Industrial Engineering - Stellenbosch University, 2012, 30(2019), 4, Seite 87-101
Übergeordnetes Werk:	volume:30 ; year:2019 ; number:4 ; pages:87-101

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.7166/30-4-2192

Katalog-ID:	DOAJ069144508

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allfields	10.7166/30-4-2192 doi (DE-627)DOAJ069144508 (DE-599)DOAJ9016dbacb4b147edaa2cab1e97069a6a DE-627 ger DE-627 rakwb eng T55.4-60.8 Mohamadi, Arash verfasserin aut AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this study, a new integrated approach is presented to solve the facility layout problem with unequal areas in an open field. This approach includes a two-stage method and a bi-level genetic algorithm. In the first stage of the proposed method, the arrangement of departments adjacent to each other is determined by an improved zone algorithm; in the second stage, the layout obtained from the first stage is improved by using a linear programming model, and the final locations of the departments are thus determined. This two-stage method is used in a bi-level genetic algorithm to achieve an appropriate layout. The orientation and aspect ratios of the departments are determined at the first level of the algorithm, and at the second level, the sequence of the departments is determined for the layout. The proposed approach is compared with the four approaches in the literature, by using 10 datasets in order to evaluate efficiency and performance. The quality of the proposed approach is confirmed by improving the best solutions obtained from previous studies in seven datasets. Furthermore, the presented approach obtains the best solutions from previous studies in the other three datasets. production process increased productivity increased material flow speed good arranging of material flow Industrial engineering. Management engineering Ebrahimnejad, Sadalah verfasserin aut Soltani, Roya verfasserin aut Khalilzadeh, Mohammad verfasserin aut In South African Journal of Industrial Engineering Stellenbosch University, 2012 30(2019), 4, Seite 87-101 (DE-627)36908537X (DE-600)2118750-2 22247890 nnns volume:30 year:2019 number:4 pages:87-101 https://doi.org/10.7166/30-4-2192 kostenfrei https://doaj.org/article/9016dbacb4b147edaa2cab1e97069a6a kostenfrei http://sajie.journals.ac.za/pub/article/view/2192 kostenfrei https://doaj.org/toc/1012-277X Journal toc kostenfrei https://doaj.org/toc/2224-7890 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 30 2019 4 87-101
spelling	10.7166/30-4-2192 doi (DE-627)DOAJ069144508 (DE-599)DOAJ9016dbacb4b147edaa2cab1e97069a6a DE-627 ger DE-627 rakwb eng T55.4-60.8 Mohamadi, Arash verfasserin aut AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this study, a new integrated approach is presented to solve the facility layout problem with unequal areas in an open field. This approach includes a two-stage method and a bi-level genetic algorithm. In the first stage of the proposed method, the arrangement of departments adjacent to each other is determined by an improved zone algorithm; in the second stage, the layout obtained from the first stage is improved by using a linear programming model, and the final locations of the departments are thus determined. This two-stage method is used in a bi-level genetic algorithm to achieve an appropriate layout. The orientation and aspect ratios of the departments are determined at the first level of the algorithm, and at the second level, the sequence of the departments is determined for the layout. The proposed approach is compared with the four approaches in the literature, by using 10 datasets in order to evaluate efficiency and performance. The quality of the proposed approach is confirmed by improving the best solutions obtained from previous studies in seven datasets. Furthermore, the presented approach obtains the best solutions from previous studies in the other three datasets. production process increased productivity increased material flow speed good arranging of material flow Industrial engineering. Management engineering Ebrahimnejad, Sadalah verfasserin aut Soltani, Roya verfasserin aut Khalilzadeh, Mohammad verfasserin aut In South African Journal of Industrial Engineering Stellenbosch University, 2012 30(2019), 4, Seite 87-101 (DE-627)36908537X (DE-600)2118750-2 22247890 nnns volume:30 year:2019 number:4 pages:87-101 https://doi.org/10.7166/30-4-2192 kostenfrei https://doaj.org/article/9016dbacb4b147edaa2cab1e97069a6a kostenfrei http://sajie.journals.ac.za/pub/article/view/2192 kostenfrei https://doaj.org/toc/1012-277X Journal toc kostenfrei https://doaj.org/toc/2224-7890 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 30 2019 4 87-101
allfields_unstemmed	10.7166/30-4-2192 doi (DE-627)DOAJ069144508 (DE-599)DOAJ9016dbacb4b147edaa2cab1e97069a6a DE-627 ger DE-627 rakwb eng T55.4-60.8 Mohamadi, Arash verfasserin aut AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this study, a new integrated approach is presented to solve the facility layout problem with unequal areas in an open field. This approach includes a two-stage method and a bi-level genetic algorithm. In the first stage of the proposed method, the arrangement of departments adjacent to each other is determined by an improved zone algorithm; in the second stage, the layout obtained from the first stage is improved by using a linear programming model, and the final locations of the departments are thus determined. This two-stage method is used in a bi-level genetic algorithm to achieve an appropriate layout. The orientation and aspect ratios of the departments are determined at the first level of the algorithm, and at the second level, the sequence of the departments is determined for the layout. The proposed approach is compared with the four approaches in the literature, by using 10 datasets in order to evaluate efficiency and performance. The quality of the proposed approach is confirmed by improving the best solutions obtained from previous studies in seven datasets. Furthermore, the presented approach obtains the best solutions from previous studies in the other three datasets. production process increased productivity increased material flow speed good arranging of material flow Industrial engineering. Management engineering Ebrahimnejad, Sadalah verfasserin aut Soltani, Roya verfasserin aut Khalilzadeh, Mohammad verfasserin aut In South African Journal of Industrial Engineering Stellenbosch University, 2012 30(2019), 4, Seite 87-101 (DE-627)36908537X (DE-600)2118750-2 22247890 nnns volume:30 year:2019 number:4 pages:87-101 https://doi.org/10.7166/30-4-2192 kostenfrei https://doaj.org/article/9016dbacb4b147edaa2cab1e97069a6a kostenfrei http://sajie.journals.ac.za/pub/article/view/2192 kostenfrei https://doaj.org/toc/1012-277X Journal toc kostenfrei https://doaj.org/toc/2224-7890 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 30 2019 4 87-101
allfieldsGer	10.7166/30-4-2192 doi (DE-627)DOAJ069144508 (DE-599)DOAJ9016dbacb4b147edaa2cab1e97069a6a DE-627 ger DE-627 rakwb eng T55.4-60.8 Mohamadi, Arash verfasserin aut AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this study, a new integrated approach is presented to solve the facility layout problem with unequal areas in an open field. This approach includes a two-stage method and a bi-level genetic algorithm. In the first stage of the proposed method, the arrangement of departments adjacent to each other is determined by an improved zone algorithm; in the second stage, the layout obtained from the first stage is improved by using a linear programming model, and the final locations of the departments are thus determined. This two-stage method is used in a bi-level genetic algorithm to achieve an appropriate layout. The orientation and aspect ratios of the departments are determined at the first level of the algorithm, and at the second level, the sequence of the departments is determined for the layout. The proposed approach is compared with the four approaches in the literature, by using 10 datasets in order to evaluate efficiency and performance. The quality of the proposed approach is confirmed by improving the best solutions obtained from previous studies in seven datasets. Furthermore, the presented approach obtains the best solutions from previous studies in the other three datasets. production process increased productivity increased material flow speed good arranging of material flow Industrial engineering. Management engineering Ebrahimnejad, Sadalah verfasserin aut Soltani, Roya verfasserin aut Khalilzadeh, Mohammad verfasserin aut In South African Journal of Industrial Engineering Stellenbosch University, 2012 30(2019), 4, Seite 87-101 (DE-627)36908537X (DE-600)2118750-2 22247890 nnns volume:30 year:2019 number:4 pages:87-101 https://doi.org/10.7166/30-4-2192 kostenfrei https://doaj.org/article/9016dbacb4b147edaa2cab1e97069a6a kostenfrei http://sajie.journals.ac.za/pub/article/view/2192 kostenfrei https://doaj.org/toc/1012-277X Journal toc kostenfrei https://doaj.org/toc/2224-7890 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 30 2019 4 87-101
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callnumber-first	T - Technology
author	Mohamadi, Arash
spellingShingle	Mohamadi, Arash misc T55.4-60.8 misc production process misc increased productivity misc increased material flow speed misc good arranging of material flow misc Industrial engineering. Management engineering AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM
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topic_title	T55.4-60.8 AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM production process increased productivity increased material flow speed good arranging of material flow
topic	misc T55.4-60.8 misc production process misc increased productivity misc increased material flow speed misc good arranging of material flow misc Industrial engineering. Management engineering
topic_unstemmed	misc T55.4-60.8 misc production process misc increased productivity misc increased material flow speed misc good arranging of material flow misc Industrial engineering. Management engineering
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title	AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM
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title_sort	integrated approach based on a bi-level genetic algorithm and a combined zone- lp for the facility layout problem
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title_auth	AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM
abstract	In this study, a new integrated approach is presented to solve the facility layout problem with unequal areas in an open field. This approach includes a two-stage method and a bi-level genetic algorithm. In the first stage of the proposed method, the arrangement of departments adjacent to each other is determined by an improved zone algorithm; in the second stage, the layout obtained from the first stage is improved by using a linear programming model, and the final locations of the departments are thus determined. This two-stage method is used in a bi-level genetic algorithm to achieve an appropriate layout. The orientation and aspect ratios of the departments are determined at the first level of the algorithm, and at the second level, the sequence of the departments is determined for the layout. The proposed approach is compared with the four approaches in the literature, by using 10 datasets in order to evaluate efficiency and performance. The quality of the proposed approach is confirmed by improving the best solutions obtained from previous studies in seven datasets. Furthermore, the presented approach obtains the best solutions from previous studies in the other three datasets.
abstractGer	In this study, a new integrated approach is presented to solve the facility layout problem with unequal areas in an open field. This approach includes a two-stage method and a bi-level genetic algorithm. In the first stage of the proposed method, the arrangement of departments adjacent to each other is determined by an improved zone algorithm; in the second stage, the layout obtained from the first stage is improved by using a linear programming model, and the final locations of the departments are thus determined. This two-stage method is used in a bi-level genetic algorithm to achieve an appropriate layout. The orientation and aspect ratios of the departments are determined at the first level of the algorithm, and at the second level, the sequence of the departments is determined for the layout. The proposed approach is compared with the four approaches in the literature, by using 10 datasets in order to evaluate efficiency and performance. The quality of the proposed approach is confirmed by improving the best solutions obtained from previous studies in seven datasets. Furthermore, the presented approach obtains the best solutions from previous studies in the other three datasets.
abstract_unstemmed	In this study, a new integrated approach is presented to solve the facility layout problem with unequal areas in an open field. This approach includes a two-stage method and a bi-level genetic algorithm. In the first stage of the proposed method, the arrangement of departments adjacent to each other is determined by an improved zone algorithm; in the second stage, the layout obtained from the first stage is improved by using a linear programming model, and the final locations of the departments are thus determined. This two-stage method is used in a bi-level genetic algorithm to achieve an appropriate layout. The orientation and aspect ratios of the departments are determined at the first level of the algorithm, and at the second level, the sequence of the departments is determined for the layout. The proposed approach is compared with the four approaches in the literature, by using 10 datasets in order to evaluate efficiency and performance. The quality of the proposed approach is confirmed by improving the best solutions obtained from previous studies in seven datasets. Furthermore, the presented approach obtains the best solutions from previous studies in the other three datasets.
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title_short	AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM
url	https://doi.org/10.7166/30-4-2192 https://doaj.org/article/9016dbacb4b147edaa2cab1e97069a6a http://sajie.journals.ac.za/pub/article/view/2192 https://doaj.org/toc/1012-277X https://doaj.org/toc/2224-7890
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doi_str	10.7166/30-4-2192
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up_date	2024-07-03T21:44:32.940Z
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