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...

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Main Authors: Jenny Díaz Ramírez, Jose Ignacio Huertas
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2018-04-01
Series:Ingeniería e Investigación
Subjects:
Online Access:https://revistas.unal.edu.co/index.php/ingeinv/article/view/66425
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author Jenny Díaz Ramírez
Jose Ignacio Huertas
author_facet Jenny Díaz Ramírez
Jose Ignacio Huertas
author_sort Jenny Díaz Ramírez
collection DOAJ
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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spelling doaj.art-b9f036b51b984bd3b15cc2efbc08bab92022-12-22T01:06:33ZengUniversidad Nacional de ColombiaIngeniería e Investigación0120-56092248-87232018-04-013819610410.15446/ing.investig.v38n1.6642547999A continuous time model for a short-term multiproduct batch process schedulingJenny Díaz Ramírez0Jose Ignacio Huertas1Universidad de Monterrey Monterrey, N.L., MexicoTecnológico de MonterreyIn 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.https://revistas.unal.edu.co/index.php/ingeinv/article/view/66425MIP modelinggoal programmingbatch process schedulingshort-term schedulingmathematical formulationMonte Carlo simulation
spellingShingle Jenny Díaz Ramírez
Jose Ignacio Huertas
A continuous time model for a short-term multiproduct batch process scheduling
Ingeniería e Investigación
MIP modeling
goal programming
batch process scheduling
short-term scheduling
mathematical formulation
Monte Carlo simulation
title 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_short A continuous time model for a short-term multiproduct batch process scheduling
title_sort continuous time model for a short term multiproduct batch process scheduling
topic MIP modeling
goal programming
batch process scheduling
short-term scheduling
mathematical formulation
Monte Carlo simulation
url https://revistas.unal.edu.co/index.php/ingeinv/article/view/66425
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