A Benders’ Decomposition Method to Solve a Multi-period, Multi-echelon, and Multi-product Integrated Petroleum Supply Chain

A Benders’ Decomposition Method to Solve a Multi-period, Multi-echelon, and Multi-product... Problems of large dimensions (linear, non-linear, integer, and continuous) are the major principles in the modeling of important natural and social phenomena. The larger are the extent and scope of the application of the phenomenon or the vastness of its applications; the larger is the dimension confronted in modeling. Integrated Petroleum Supply Chain (IPSC), which has been proposed by Nasab and Amin-Naseri (Energy 114:708–733, 2016), is one such problem. Specific solutions have been proposed over the years for problems of this kind. One of the most important methods in this regard is Benders’ decomposition method, proposed in 1962 by Benders for combinatorial optimization problems. In this paper, Benders’ decomposition method has been used to solve the IPSC model and the gap criteria are then used to evaluate the performance of this method. Here, for analyzing the performance of Benders’ decomposition method, the results of this method and those of Branch & Bound algorithm, which has been proposed by Nasab and Amin-Naseri (Energy 114:708–733, 2016), have been compared. Based on the results, while Branch & Bound algorithm method is not able to solve large size problems, the generated gap in Benders’ method is very small. This indicates the capability of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Process Integration and Optimization for Sustainability Springer Journals

A Benders’ Decomposition Method to Solve a Multi-period, Multi-echelon, and Multi-product Integrated Petroleum Supply Chain

Loading next page...
 
/lp/springer_journal/a-benders-decomposition-method-to-solve-a-multi-period-multi-echelon-mN9Aw8hG6J
Publisher
Springer Singapore
Copyright
Copyright © 2018 by Springer Nature Singapore Pte Ltd.
Subject
Engineering; Industrial and Production Engineering; Sustainable Development; Industrial Chemistry/Chemical Engineering; Energy Policy, Economics and Management; Waste Management/Waste Technology
ISSN
2509-4238
eISSN
2509-4246
D.O.I.
10.1007/s41660-018-0044-3
Publisher site
See Article on Publisher Site

Abstract

Problems of large dimensions (linear, non-linear, integer, and continuous) are the major principles in the modeling of important natural and social phenomena. The larger are the extent and scope of the application of the phenomenon or the vastness of its applications; the larger is the dimension confronted in modeling. Integrated Petroleum Supply Chain (IPSC), which has been proposed by Nasab and Amin-Naseri (Energy 114:708–733, 2016), is one such problem. Specific solutions have been proposed over the years for problems of this kind. One of the most important methods in this regard is Benders’ decomposition method, proposed in 1962 by Benders for combinatorial optimization problems. In this paper, Benders’ decomposition method has been used to solve the IPSC model and the gap criteria are then used to evaluate the performance of this method. Here, for analyzing the performance of Benders’ decomposition method, the results of this method and those of Branch & Bound algorithm, which has been proposed by Nasab and Amin-Naseri (Energy 114:708–733, 2016), have been compared. Based on the results, while Branch & Bound algorithm method is not able to solve large size problems, the generated gap in Benders’ method is very small. This indicates the capability of

Journal

Process Integration and Optimization for SustainabilitySpringer Journals

Published: May 27, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off