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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationIEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960651
DOIs
StatePublished - Apr 23 2015
Event5th International Conference on Industrial Engineering and Operations Management, IEOM 2015 - Dubai, United Arab Emirates
Duration: Mar 3 2015Mar 5 2015

Publication series

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

Conference

Conference5th International Conference on Industrial Engineering and Operations Management, IEOM 2015
CountryUnited Arab Emirates
CityDubai
Period3/3/153/5/15

Keywords

  • Energy Policy
  • GHG Emissions
  • Polynomial Goal Programming
  • Sustainable Development

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

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