Integration of generative and evaluative models for production scheduling of lube oil plants in a petroleum refinery

A study was made on the existing practices of production planning, scheduling and prevailing constraints in the six plants of a lube oil section in a petroleum refinery. Based on the data collected from these plants, some generative and evaluative models were developed. The generative models develop...

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Bibliographic Details
Published in:Applied mathematical modelling 2009-03, Vol.33 (3), p.1213-1227
Main Authors: Abraham, John Nelson, Rao, Kavuri Suryaprakasa
Format: Article
Language:English
Subjects:
Applied sciences
Crude oil, natural gas and petroleum products
Energy
Evaluative models
Exact sciences and technology
Fuels
Generative models
Inventory control, production control. Distribution
Lube oil products
Mathematical programming
Operational research and scientific management
Operational research. Management science
Petroleum refinery
Processing of crude oil and oils from shales and tar sands. Processes. Equipment. Refinery and treatment units
Production scheduling
Scheduling, sequencing
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Summary:A study was made on the existing practices of production planning, scheduling and prevailing constraints in the six plants of a lube oil section in a petroleum refinery. Based on the data collected from these plants, some generative and evaluative models were developed. The generative models developed were flow network optimisation (FNO) model and binary integer linear programming (BILP) model. The evaluative model developed was simulation. The optimal results obtained from the generative model were fed to the evaluative model to derive the measure of performance. This integration of generative and evaluative models offers an opportunity for better understanding of the subsystem and appropriate decision making.
ISSN:0307-904X
DOI:10.1016/j.apm.2008.01.012