A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates

Raja Jayaraman; Davide La Torre; Tufail Malik; Yanthe E. Pearson

doi:10.1109/IEOM.2015.7093869

A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates

Raja Jayaraman
, Davide La Torre
, Tufail Malik
, Yanthe E. Pearson

Management Science & Engineering

Università degli Studi di Milano

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

Sustainable growth and development of nations requires strategic vision and plan to accommodate growing energy needs while preserving and protecting the natural environment. Studies that couple energy and environment often present conflicting objectives which requires the explicit use of quantitative models to develop appropriate solutions for policy planning and analysis. Goal programming offers an analytical framework to solve multi-objective problems that simultaneously satisfy decision maker's preferences. In this paper we develop a polynomial goal programming model to study the effects of electricity consumption and greenhouse gas emissions applied to the economy of United Arab Emirates. The results provide valuable insights for improvement opportunities and quantitative justification for the required investments and efforts in implementing sustainable development plans.

Original language	British English
Title of host publication	IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479960651
DOIs	https://doi.org/10.1109/IEOM.2015.7093869
State	Published - 23 Apr 2015
Event	5th International Conference on Industrial Engineering and Operations Management, IEOM 2015 - Dubai, United Arab Emirates Duration: 3 Mar 2015 → 5 Mar 2015

Publication series

Name	IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding

Conference

Conference	5th International Conference on Industrial Engineering and Operations Management, IEOM 2015
Country/Territory	United Arab Emirates
City	Dubai
Period	3/03/15 → 5/03/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 13 Climate Action
SDG 17 Partnerships for the Goals

Keywords

Energy Policy
GHG Emissions
Polynomial Goal Programming
Sustainable Development

Access to Document

10.1109/IEOM.2015.7093869

OpenUrl availability

Full text

Cite this

Jayaraman, R., La Torre, D., Malik, T., & Pearson, Y. E. (2015). A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates. In IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding Article 7093869 (IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEOM.2015.7093869

Jayaraman, Raja ; La Torre, Davide ; Malik, Tufail et al. / A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates. IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding. Institute of Electrical and Electronics Engineers Inc., 2015. (IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding).

@inproceedings{2fd2a7353341413dbc60d3705be8aa3d,

title = "A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates",

abstract = "Sustainable growth and development of nations requires strategic vision and plan to accommodate growing energy needs while preserving and protecting the natural environment. Studies that couple energy and environment often present conflicting objectives which requires the explicit use of quantitative models to develop appropriate solutions for policy planning and analysis. Goal programming offers an analytical framework to solve multi-objective problems that simultaneously satisfy decision maker's preferences. In this paper we develop a polynomial goal programming model to study the effects of electricity consumption and greenhouse gas emissions applied to the economy of United Arab Emirates. The results provide valuable insights for improvement opportunities and quantitative justification for the required investments and efforts in implementing sustainable development plans.",

keywords = "Energy Policy, GHG Emissions, Polynomial Goal Programming, Sustainable Development",

author = "Raja Jayaraman and \{La Torre\}, Davide and Tufail Malik and Pearson, \{Yanthe E.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Conference on Industrial Engineering and Operations Management, IEOM 2015 ; Conference date: 03-03-2015 Through 05-03-2015",

year = "2015",

month = apr,

day = "23",

doi = "10.1109/IEOM.2015.7093869",

language = "British English",

series = "IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding",

address = "United States",

}

Jayaraman, R, La Torre, D, Malik, T & Pearson, YE 2015, A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates. in IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding., 7093869, IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding, Institute of Electrical and Electronics Engineers Inc., 5th International Conference on Industrial Engineering and Operations Management, IEOM 2015, Dubai, United Arab Emirates, 3/03/15. https://doi.org/10.1109/IEOM.2015.7093869

A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates. / Jayaraman, Raja; La Torre, Davide; Malik, Tufail et al.
IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding. Institute of Electrical and Electronics Engineers Inc., 2015. 7093869 (IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates

AU - Jayaraman, Raja

AU - La Torre, Davide

AU - Malik, Tufail

AU - Pearson, Yanthe E.

PY - 2015/4/23

Y1 - 2015/4/23

N2 - Sustainable growth and development of nations requires strategic vision and plan to accommodate growing energy needs while preserving and protecting the natural environment. Studies that couple energy and environment often present conflicting objectives which requires the explicit use of quantitative models to develop appropriate solutions for policy planning and analysis. Goal programming offers an analytical framework to solve multi-objective problems that simultaneously satisfy decision maker's preferences. In this paper we develop a polynomial goal programming model to study the effects of electricity consumption and greenhouse gas emissions applied to the economy of United Arab Emirates. The results provide valuable insights for improvement opportunities and quantitative justification for the required investments and efforts in implementing sustainable development plans.

AB - Sustainable growth and development of nations requires strategic vision and plan to accommodate growing energy needs while preserving and protecting the natural environment. Studies that couple energy and environment often present conflicting objectives which requires the explicit use of quantitative models to develop appropriate solutions for policy planning and analysis. Goal programming offers an analytical framework to solve multi-objective problems that simultaneously satisfy decision maker's preferences. In this paper we develop a polynomial goal programming model to study the effects of electricity consumption and greenhouse gas emissions applied to the economy of United Arab Emirates. The results provide valuable insights for improvement opportunities and quantitative justification for the required investments and efforts in implementing sustainable development plans.

KW - Energy Policy

KW - GHG Emissions

KW - Polynomial Goal Programming

KW - Sustainable Development

UR - https://www.scopus.com/pages/publications/84931063842

U2 - 10.1109/IEOM.2015.7093869

DO - 10.1109/IEOM.2015.7093869

M3 - Conference contribution

AN - SCOPUS:84931063842

T3 - IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding

BT - IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Industrial Engineering and Operations Management, IEOM 2015

Y2 - 3 March 2015 through 5 March 2015

ER -

Jayaraman R, La Torre D, Malik T, Pearson YE. A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates. In IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding. Institute of Electrical and Electronics Engineers Inc. 2015. 7093869. (IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding). doi: 10.1109/IEOM.2015.7093869

A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

Other files and links

Fingerprint

Cite this