Soft-computing approaches for rescheluding problems in a manufacturing industry
Flexible manufacturing systems as technological and automated structures have a high complexity for scheduling. The decision-making process is made difficult with interruptions that may occur in the system and these problems increase the complexity to define an optimal schedule. The research propose...
- Autores:
-
Acevedo Chedid, Jaime
Grice Reyes, Jennifer
Ospina-Mateus, Holman
Salas-Navarro, Katherinne
Santander-Mercado, Alcides
Sankar Sana, Shib
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10331
- Palabra clave:
- Flexible manufacturing system
Petri net
Scheduling
Reactive scheduling
Memetics algorithm.
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Soft-computing approaches for rescheluding problems in a manufacturing industry |
| title |
Soft-computing approaches for rescheluding problems in a manufacturing industry |
| spellingShingle |
Soft-computing approaches for rescheluding problems in a manufacturing industry Flexible manufacturing system Petri net Scheduling Reactive scheduling Memetics algorithm. |
| title_short |
Soft-computing approaches for rescheluding problems in a manufacturing industry |
| title_full |
Soft-computing approaches for rescheluding problems in a manufacturing industry |
| title_fullStr |
Soft-computing approaches for rescheluding problems in a manufacturing industry |
| title_full_unstemmed |
Soft-computing approaches for rescheluding problems in a manufacturing industry |
| title_sort |
Soft-computing approaches for rescheluding problems in a manufacturing industry |
| dc.creator.fl_str_mv |
Acevedo Chedid, Jaime Grice Reyes, Jennifer Ospina-Mateus, Holman Salas-Navarro, Katherinne Santander-Mercado, Alcides Sankar Sana, Shib |
| dc.contributor.author.none.fl_str_mv |
Acevedo Chedid, Jaime Grice Reyes, Jennifer Ospina-Mateus, Holman Salas-Navarro, Katherinne Santander-Mercado, Alcides Sankar Sana, Shib |
| dc.subject.keywords.spa.fl_str_mv |
Flexible manufacturing system Petri net Scheduling Reactive scheduling Memetics algorithm. |
| topic |
Flexible manufacturing system Petri net Scheduling Reactive scheduling Memetics algorithm. |
| description |
Flexible manufacturing systems as technological and automated structures have a high complexity for scheduling. The decision-making process is made difficult with interruptions that may occur in the system and these problems increase the complexity to define an optimal schedule. The research proposes a three-stage hybrid algorithm that allows the rescheduling of operations in an FMS. The novelty of the research is presented in two approaches: first is the integration of the techniques of Petri nets, discrete simulation, and memetic algorithms and second is the rescheduling environment with machine failures to optimize the makespan and Total Weighted Tardiness. The effectiveness of the proposed Soft computing approaches was validated with the bottleneck of heuristics and the dispatch rules. The results of the proposed algorithm show significant findings with the contrasting techniques. In the first stage (scheduling), improvements are obtained between 50 and 70% on performance indicators. In the second stage (failure), four scenarios are developed that improve the variability, flexibility, and robustness of the schedules. In the final stage (rescheduling), the results show that 78% of the instances have variations of less than 10% for the initial schedule. Furthermore, 88% of the instances support rescheduling with variations of less than 2% compared to the heuristics. |
| publishDate |
2020 |
| dc.date.issued.none.fl_str_mv |
2020-03-02 |
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2021-07-29T18:42:33Z |
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2021-07-29T18:42:33Z |
| dc.date.submitted.none.fl_str_mv |
2021-07-28 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/restrictedAccess |
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http://purl.org/coar/resource_type/c_6501 |
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Jaime Acevedo-Chedid, Jennifer Grice-Reyes, Holman Ospina-Mateus, Katherinne Salas-Navarro, Alcides Santander-Mercado and Shib Sankar Sana. Soft-computing approaches for rescheduling problems in a manufacturing industry. RAIRO-Oper. Res. 55 (2021) S2125–S2159. https://doi.org/10.1051/ro/2020077 |
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https://hdl.handle.net/20.500.12585/10331 |
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https://doi.org/10.1051/ro/2020077 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Jaime Acevedo-Chedid, Jennifer Grice-Reyes, Holman Ospina-Mateus, Katherinne Salas-Navarro, Alcides Santander-Mercado and Shib Sankar Sana. Soft-computing approaches for rescheduling problems in a manufacturing industry. RAIRO-Oper. Res. 55 (2021) S2125–S2159. https://doi.org/10.1051/ro/2020077 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/10331 https://doi.org/10.1051/ro/2020077 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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openAccess |
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application/pdf |
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35 páginas |
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Colombia |
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Cartagena de Indias |
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RAIRO-Oper. Res. 55 (2021) S2125–S2159 |
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Universidad Tecnológica de Bolívar |
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Acevedo Chedid, Jaime11cdb651-1161-436d-ac47-88a330629d17Grice Reyes, Jennifer1e45bc02-fded-4031-98c3-3e399ca7f8b4Ospina-Mateus, Holman1b4b1bc0-3606-4c14-bb13-dbc9d4251891Salas-Navarro, Katherinneb358d582-e66b-4c09-8f7e-34b116ff94aeSantander-Mercado, Alcides75e70f18-d5b6-4abf-a9a3-f39699abbc14Sankar Sana, Shibd10ac6cd-87f8-493f-80ec-cf649edaf60cColombia2021-07-29T18:42:33Z2021-07-29T18:42:33Z2020-03-022021-07-28Jaime Acevedo-Chedid, Jennifer Grice-Reyes, Holman Ospina-Mateus, Katherinne Salas-Navarro, Alcides Santander-Mercado and Shib Sankar Sana. Soft-computing approaches for rescheduling problems in a manufacturing industry. RAIRO-Oper. Res. 55 (2021) S2125–S2159. https://doi.org/10.1051/ro/2020077https://hdl.handle.net/20.500.12585/10331https://doi.org/10.1051/ro/2020077Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarFlexible manufacturing systems as technological and automated structures have a high complexity for scheduling. The decision-making process is made difficult with interruptions that may occur in the system and these problems increase the complexity to define an optimal schedule. The research proposes a three-stage hybrid algorithm that allows the rescheduling of operations in an FMS. The novelty of the research is presented in two approaches: first is the integration of the techniques of Petri nets, discrete simulation, and memetic algorithms and second is the rescheduling environment with machine failures to optimize the makespan and Total Weighted Tardiness. The effectiveness of the proposed Soft computing approaches was validated with the bottleneck of heuristics and the dispatch rules. The results of the proposed algorithm show significant findings with the contrasting techniques. In the first stage (scheduling), improvements are obtained between 50 and 70% on performance indicators. In the second stage (failure), four scenarios are developed that improve the variability, flexibility, and robustness of the schedules. In the final stage (rescheduling), the results show that 78% of the instances have variations of less than 10% for the initial schedule. Furthermore, 88% of the instances support rescheduling with variations of less than 2% compared to the heuristics.application/pdf35 páginasenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2RAIRO-Oper. Res. 55 (2021) S2125–S2159Soft-computing approaches for rescheluding problems in a manufacturing industryinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Flexible manufacturing systemPetri netSchedulingReactive schedulingMemetics algorithm.Cartagena de IndiasInvestigadores] J. 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Wu, Real-time shop floor scheduling method based on virtual queue adaptive control: algorithm and experimental results. Measurement 147 (2019) 106689.F. T¨uys¨uz and C. Kahraman, Modeling a flexible manufacturing cell using stochastic Petri nets with fuzzy parameters. Expert Syst. App. 37 (2010) 3910–3920M. Ullah and B. Sarkar, Recovery-channel selection in a hybrid manufacturing-remanufacturing production model with RFID and product quality. Int. J. Prod. Econ. 219 (2020) 360–374G.E. Vieira, J.W. Herrmann and E. Lin, Rescheduling manufacturing systems: a framework of strategies, policies, and methods. J. Schedul. 6 (2003) 39–62.] Z. Zhao, G. Zhang and Z. Bing, Scheduling optimization for FMS based on Petri net modeling and GA. 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