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Models for Optimum Decision Making

Crude Oil Production and Refining

  • Textbook
  • © 2020

Overview

  • First book to apply OR techniques specifically to crude oil production and refining
  • Examines the problem of deciding how much crude to produce annually for export each year
  • Considers the decision of how much crude should be refined, for selling output products, vs. selling raw crude

Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 286)

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Table of contents (8 chapters)

Keywords

About this book

This book considers the problem of determining how many barrels of crude oil an oil-producing and exporting country should produce annually for export―along with several other important problems that decision-makers in the crude oil industry face―and discusses procedures for finding optimum solutions for them. It considers the important Objective Functions they need in making these critical decisions, and discusses procedures to find the best solutions. Outputs from the treatment units, in an oil refinery are only semi-finished products; these are blended into finished products like gasoline, diesel oil, etc., meeting various specifications that the marketplace demands. The book discusses models for solving these problems optimally with examples.

Editors and Affiliations

  • Industrial and Operations Engineering, University of Michigan, Ann Arbor, USA

    Katta G. Murty

About the editor

​Katta G. Murty is an Emeritus Professor of industrial and Operations engineering at The University of Michigan, Ann Arbor. Professor Murty teaches graduate and undergraduate courses in linear, integer and non-linear programming and network flows. His recent research includes studies in mathematical programming and its applications as well as research on optimization algorithms. He is the author of eight books on linear and non-linear programming and network flows, and an undergraduate text on Operations Research-Deterministic Optimization Models.

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