A continuous time model for a short-term multiproduct batch process scheduling

Jenny Díaz-Ramírez, José Ignacio Huertas

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)96-104
Number of pages9
JournalIngenieria e Investigacion
Volume38
Issue number1
DOIs
Publication statusPublished - Apr 2018

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Scheduling
Profitability
Industry
Preventive maintenance
Chemical industry
Costs

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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A continuous time model for a short-term multiproduct batch process scheduling. / Díaz-Ramírez, Jenny; Huertas, José Ignacio.

In: Ingenieria e Investigacion, Vol. 38, No. 1, 04.2018, p. 96-104.

Research output: Contribution to journalArticle

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