A continuous time model for a short-term multiproduct batch process scheduling
In the chemical industry, it is common to find production systems characterized by having a single stage or a previously identified bottleneck stage, with multiple non-identical parallel stations and with setup costs that depend on the production sequence. This paper proposes a mixed integer product...
- Autores:
-
Díaz Ramírez, Jenny
Huertas, Jose Ignacio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/67552
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/67552
http://bdigital.unal.edu.co/68581/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
MIP modeling
goal programming
batch process scheduling
short-term scheduling
mathematical formulation
Monte Carlo simulation
programación entera mixta
programación de la producción por lotes
industria química
modelación matemática
simulación Monte Carlo
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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A continuous time model for a short-term multiproduct batch process scheduling |
| title |
A continuous time model for a short-term multiproduct batch process scheduling |
| spellingShingle |
A continuous time model for a short-term multiproduct batch process scheduling 62 Ingeniería y operaciones afines / Engineering MIP modeling goal programming batch process scheduling short-term scheduling mathematical formulation Monte Carlo simulation programación entera mixta programación de la producción por lotes industria química modelación matemática simulación Monte Carlo |
| title_short |
A continuous time model for a short-term multiproduct batch process scheduling |
| title_full |
A continuous time model for a short-term multiproduct batch process scheduling |
| title_fullStr |
A continuous time model for a short-term multiproduct batch process scheduling |
| title_full_unstemmed |
A continuous time model for a short-term multiproduct batch process scheduling |
| title_sort |
A continuous time model for a short-term multiproduct batch process scheduling |
| dc.creator.fl_str_mv |
Díaz Ramírez, Jenny Huertas, Jose Ignacio |
| dc.contributor.author.spa.fl_str_mv |
Díaz Ramírez, Jenny Huertas, Jose Ignacio |
| dc.subject.ddc.spa.fl_str_mv |
62 Ingeniería y operaciones afines / Engineering |
| topic |
62 Ingeniería y operaciones afines / Engineering MIP modeling goal programming batch process scheduling short-term scheduling mathematical formulation Monte Carlo simulation programación entera mixta programación de la producción por lotes industria química modelación matemática simulación Monte Carlo |
| dc.subject.proposal.spa.fl_str_mv |
MIP modeling goal programming batch process scheduling short-term scheduling mathematical formulation Monte Carlo simulation programación entera mixta programación de la producción por lotes industria química modelación matemática simulación Monte Carlo |
| description |
In the chemical industry, it is common to find production systems characterized by having a single stage or a previously identified bottleneck stage, with multiple non-identical parallel stations and with setup costs that depend on the production sequence. This paper proposes a mixed integer production-scheduling model that identifies lot size and product sequence that maximize profit. It considers multiple typical industry conditions, such as penalties for noncompliance or out of service periods of the productive units (or stations) for preventive maintenance activities. The model was validated with real data from an oil chemical company. Aiming to analyze its performance, we applied the model to 155 instances of production, which were obtained using Monte Carlo technique on the historical production data of the same company. We obtained an average 12 % reduction in the total cost of production and a 19 % increase in the estimated profit. |
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2018 |
| dc.date.issued.spa.fl_str_mv |
2018-01-01 |
| dc.date.accessioned.spa.fl_str_mv |
2019-07-03T04:31:34Z |
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2019-07-03T04:31:34Z |
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Artículo de revista |
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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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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
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ISSN: 2248-8723 |
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https://repositorio.unal.edu.co/handle/unal/67552 |
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http://bdigital.unal.edu.co/68581/ |
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ISSN: 2248-8723 |
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https://repositorio.unal.edu.co/handle/unal/67552 http://bdigital.unal.edu.co/68581/ |
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spa |
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spa |
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https://revistas.unal.edu.co/index.php/ingeinv/article/view/66425 |
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Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación Ingeniería e Investigación |
| dc.relation.references.spa.fl_str_mv |
Díaz Ramírez, Jenny and Huertas, Jose Ignacio (2018) A continuous time model for a short-term multiproduct batch process scheduling. Ingeniería e Investigación, 38 (1). pp. 96-104. ISSN 2248-8723 |
| dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución-NoComercial 4.0 Internacional |
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info:eu-repo/semantics/openAccess |
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Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería |
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Díaz Ramírez, Jennybd80b7f4-5299-4366-83f8-ff35fd525b5e300Huertas, Jose Ignacio0f20cb26-e88e-4a39-8beb-6e06516799ed3002019-07-03T04:31:34Z2019-07-03T04:31:34Z2018-01-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67552http://bdigital.unal.edu.co/68581/In the chemical industry, it is common to find production systems characterized by having a single stage or a previously identified bottleneck stage, with multiple non-identical parallel stations and with setup costs that depend on the production sequence. This paper proposes a mixed integer production-scheduling model that identifies lot size and product sequence that maximize profit. It considers multiple typical industry conditions, such as penalties for noncompliance or out of service periods of the productive units (or stations) for preventive maintenance activities. The model was validated with real data from an oil chemical company. Aiming to analyze its performance, we applied the model to 155 instances of production, which were obtained using Monte Carlo technique on the historical production data of the same company. We obtained an average 12 % reduction in the total cost of production and a 19 % increase in the estimated profit.En la industria química es común encontrar sistemas de producción caracterizados por tener una sola etapa o una etapa cuello de botella, con múltiples estaciones paralelas, no idénticas, y con costos de preparación o alistamiento dependientes de la secuencia de producción. Este artículo propone un modelo lineal mixto de programación de la producción que busca identificar el tamaño de lote y la secuenciación de productos con el objetivo de maximizar el beneficio. Considera múltiples condiciones típicas de la industria, tales como la penalización por incumplimientos, la programación de mantenimientos preventivos de las estaciones y la disponibilidad temporal de las estaciones. El modelo se validó con datos reales de una empresa de la industria del petróleo. Buscando analizar el desempeño del modelo, se analizaron los resultados de aplicar el modelo a 155 instancias generadas aplicando simulación Montecarlo, a los datos históricos de producción de la misma compañía. Se obtuvo una reducción del 12 % en la reducción total del costo de producción y un incremento del 19 % en la utilidad estimada.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/66425Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónDíaz Ramírez, Jenny and Huertas, Jose Ignacio (2018) A continuous time model for a short-term multiproduct batch process scheduling. Ingeniería e Investigación, 38 (1). pp. 96-104. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringMIP modelinggoal programmingbatch process schedulingshort-term schedulingmathematical formulationMonte Carlo simulationprogramación entera mixtaprogramación de la producción por lotesindustria químicamodelación matemáticasimulación Monte CarloA continuous time model for a short-term multiproduct batch process schedulingArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL66425-380223-1-PB.pdfapplication/pdf960283https://repositorio.unal.edu.co/bitstream/unal/67552/1/66425-380223-1-PB.pdf20211d395b9d9e0768f7d6cfa9b445caMD51THUMBNAIL66425-380223-1-PB.pdf.jpg66425-380223-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg8691https://repositorio.unal.edu.co/bitstream/unal/67552/2/66425-380223-1-PB.pdf.jpg111457acb973e276da9d10643dbe6ffcMD52unal/67552oai:repositorio.unal.edu.co:unal/675522024-05-22 23:33:43.929Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |