Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation

In recent era, the creation of electronic contraptions is expanding step by step, which leads to tremendous electronic waste. This is the condition drives as a result of the current individuals expecting new innovation in a brief time. This circumstance makes the manufacturers in a circumstance to c...
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Autor*in:	Sathish T. [verfasserIn] Jayaprakash J. [verfasserIn] Senthil P.V. [verfasserIn] Saravanan R. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	reverse logistic end-of-life product disassembly-to-order meta-heuristic optimization artificial bee colony algorithm disassembly scheduling

Übergeordnetes Werk:	In: FME Transactions - University of Belgrade - Faculty of Mechanical Engineering, Belgrade, 2020, 45(2017), 1, Seite 172-180
Übergeordnetes Werk:	volume:45 ; year:2017 ; number:1 ; pages:172-180

Links:	Link aufrufen Link aufrufen Journal toc Journal toc

Katalog-ID:	DOAJ065434870

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allfieldsGer	(DE-627)DOAJ065434870 (DE-599)DOAJ3d881310b61e4e36b1a18be0474d00b3 DE-627 ger DE-627 rakwb eng TA1-2040 TA349-359 Sathish T. verfasserin aut Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent era, the creation of electronic contraptions is expanding step by step, which leads to tremendous electronic waste. This is the condition drives as a result of the current individuals expecting new innovation in a brief time. This circumstance makes the manufacturers in a circumstance to create the new item in a brief time, so the current items need to either be disposed or dismantled. In this circumstance the manufactures wanted to re-manufacture the end-of-life (E-O-L) items to meet the component necessity in the new items production. In this sense in our previous work we exhibited a methodology to choose the optimal number of take back product, so that the aggregate expense needed for the reverse logistic (RL) can be lessened. In this paper, we exhibited a novel methodology for the RL operation of E-O-L items, in view of an optimal scheduling algorithm. In the previous work we have located the optimal number of take back E-O-L products for the disassembly-to-order (D-T-O), and this paper displayed the procedure to legitimately schedule the machines to disassemble the products, so that the aggregate time as well as the total cost needed for the RL operation can be diminished. In the proposed structure artificial bee colony (ABC) algorithm is utilized. The proposed framework drives the preferred performance over the existing scheduling algorithms. reverse logistic end-of-life product disassembly-to-order meta-heuristic optimization artificial bee colony algorithm disassembly scheduling Engineering (General). Civil engineering (General) Mechanics of engineering. Applied mechanics Jayaprakash J. verfasserin aut Senthil P.V. verfasserin aut Saravanan R. verfasserin aut In FME Transactions University of Belgrade - Faculty of Mechanical Engineering, Belgrade, 2020 45(2017), 1, Seite 172-180 (DE-627)585798311 (DE-600)2467144-7 2406128X nnns volume:45 year:2017 number:1 pages:172-180 https://doaj.org/article/3d881310b61e4e36b1a18be0474d00b3 kostenfrei https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701172S.pdf kostenfrei https://doaj.org/toc/1451-2092 Journal toc kostenfrei https://doaj.org/toc/2406-128X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 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 45 2017 1 172-180
allfieldsSound	(DE-627)DOAJ065434870 (DE-599)DOAJ3d881310b61e4e36b1a18be0474d00b3 DE-627 ger DE-627 rakwb eng TA1-2040 TA349-359 Sathish T. verfasserin aut Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent era, the creation of electronic contraptions is expanding step by step, which leads to tremendous electronic waste. This is the condition drives as a result of the current individuals expecting new innovation in a brief time. This circumstance makes the manufacturers in a circumstance to create the new item in a brief time, so the current items need to either be disposed or dismantled. In this circumstance the manufactures wanted to re-manufacture the end-of-life (E-O-L) items to meet the component necessity in the new items production. In this sense in our previous work we exhibited a methodology to choose the optimal number of take back product, so that the aggregate expense needed for the reverse logistic (RL) can be lessened. In this paper, we exhibited a novel methodology for the RL operation of E-O-L items, in view of an optimal scheduling algorithm. In the previous work we have located the optimal number of take back E-O-L products for the disassembly-to-order (D-T-O), and this paper displayed the procedure to legitimately schedule the machines to disassemble the products, so that the aggregate time as well as the total cost needed for the RL operation can be diminished. In the proposed structure artificial bee colony (ABC) algorithm is utilized. The proposed framework drives the preferred performance over the existing scheduling algorithms. reverse logistic end-of-life product disassembly-to-order meta-heuristic optimization artificial bee colony algorithm disassembly scheduling Engineering (General). Civil engineering (General) Mechanics of engineering. Applied mechanics Jayaprakash J. verfasserin aut Senthil P.V. verfasserin aut Saravanan R. verfasserin aut In FME Transactions University of Belgrade - Faculty of Mechanical Engineering, Belgrade, 2020 45(2017), 1, Seite 172-180 (DE-627)585798311 (DE-600)2467144-7 2406128X nnns volume:45 year:2017 number:1 pages:172-180 https://doaj.org/article/3d881310b61e4e36b1a18be0474d00b3 kostenfrei https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701172S.pdf kostenfrei https://doaj.org/toc/1451-2092 Journal toc kostenfrei https://doaj.org/toc/2406-128X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 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 45 2017 1 172-180
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callnumber-first	T - Technology
author	Sathish T.
spellingShingle	Sathish T. misc TA1-2040 misc TA349-359 misc reverse logistic misc end-of-life product misc disassembly-to-order misc meta-heuristic optimization misc artificial bee colony algorithm misc disassembly scheduling misc Engineering (General). Civil engineering (General) misc Mechanics of engineering. Applied mechanics Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation
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topic_title	TA1-2040 TA349-359 Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation reverse logistic end-of-life product disassembly-to-order meta-heuristic optimization artificial bee colony algorithm disassembly scheduling
topic	misc TA1-2040 misc TA349-359 misc reverse logistic misc end-of-life product misc disassembly-to-order misc meta-heuristic optimization misc artificial bee colony algorithm misc disassembly scheduling misc Engineering (General). Civil engineering (General) misc Mechanics of engineering. Applied mechanics
topic_unstemmed	misc TA1-2040 misc TA349-359 misc reverse logistic misc end-of-life product misc disassembly-to-order misc meta-heuristic optimization misc artificial bee colony algorithm misc disassembly scheduling misc Engineering (General). Civil engineering (General) misc Mechanics of engineering. Applied mechanics
topic_browse	misc TA1-2040 misc TA349-359 misc reverse logistic misc end-of-life product misc disassembly-to-order misc meta-heuristic optimization misc artificial bee colony algorithm misc disassembly scheduling misc Engineering (General). Civil engineering (General) misc Mechanics of engineering. Applied mechanics
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title	Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation
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title_full	Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation
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title_sort	multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation
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title_auth	Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation
abstract	In recent era, the creation of electronic contraptions is expanding step by step, which leads to tremendous electronic waste. This is the condition drives as a result of the current individuals expecting new innovation in a brief time. This circumstance makes the manufacturers in a circumstance to create the new item in a brief time, so the current items need to either be disposed or dismantled. In this circumstance the manufactures wanted to re-manufacture the end-of-life (E-O-L) items to meet the component necessity in the new items production. In this sense in our previous work we exhibited a methodology to choose the optimal number of take back product, so that the aggregate expense needed for the reverse logistic (RL) can be lessened. In this paper, we exhibited a novel methodology for the RL operation of E-O-L items, in view of an optimal scheduling algorithm. In the previous work we have located the optimal number of take back E-O-L products for the disassembly-to-order (D-T-O), and this paper displayed the procedure to legitimately schedule the machines to disassemble the products, so that the aggregate time as well as the total cost needed for the RL operation can be diminished. In the proposed structure artificial bee colony (ABC) algorithm is utilized. The proposed framework drives the preferred performance over the existing scheduling algorithms.
abstractGer	In recent era, the creation of electronic contraptions is expanding step by step, which leads to tremendous electronic waste. This is the condition drives as a result of the current individuals expecting new innovation in a brief time. This circumstance makes the manufacturers in a circumstance to create the new item in a brief time, so the current items need to either be disposed or dismantled. In this circumstance the manufactures wanted to re-manufacture the end-of-life (E-O-L) items to meet the component necessity in the new items production. In this sense in our previous work we exhibited a methodology to choose the optimal number of take back product, so that the aggregate expense needed for the reverse logistic (RL) can be lessened. In this paper, we exhibited a novel methodology for the RL operation of E-O-L items, in view of an optimal scheduling algorithm. In the previous work we have located the optimal number of take back E-O-L products for the disassembly-to-order (D-T-O), and this paper displayed the procedure to legitimately schedule the machines to disassemble the products, so that the aggregate time as well as the total cost needed for the RL operation can be diminished. In the proposed structure artificial bee colony (ABC) algorithm is utilized. The proposed framework drives the preferred performance over the existing scheduling algorithms.
abstract_unstemmed	In recent era, the creation of electronic contraptions is expanding step by step, which leads to tremendous electronic waste. This is the condition drives as a result of the current individuals expecting new innovation in a brief time. This circumstance makes the manufacturers in a circumstance to create the new item in a brief time, so the current items need to either be disposed or dismantled. In this circumstance the manufactures wanted to re-manufacture the end-of-life (E-O-L) items to meet the component necessity in the new items production. In this sense in our previous work we exhibited a methodology to choose the optimal number of take back product, so that the aggregate expense needed for the reverse logistic (RL) can be lessened. In this paper, we exhibited a novel methodology for the RL operation of E-O-L items, in view of an optimal scheduling algorithm. In the previous work we have located the optimal number of take back E-O-L products for the disassembly-to-order (D-T-O), and this paper displayed the procedure to legitimately schedule the machines to disassemble the products, so that the aggregate time as well as the total cost needed for the RL operation can be diminished. In the proposed structure artificial bee colony (ABC) algorithm is utilized. The proposed framework drives the preferred performance over the existing scheduling algorithms.
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title_short	Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation
url	https://doaj.org/article/3d881310b61e4e36b1a18be0474d00b3 https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701172S.pdf https://doaj.org/toc/1451-2092 https://doaj.org/toc/2406-128X
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Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation

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