Planning sustainable development through a scenario-based stochastic goal programming model

Raja Jayaraman, Cinzia Colapinto, Danilo Liuzzi, Davide La Torre

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

Most real-world optimization problems involve numerous conflicting criteria, imprecise information estimates and goals, thus the stochastic goal programming method offers an analytical framework to model and solve such problems. In this paper, we develop a stochastic goal programming model with satisfaction function that integrates optimal resource (labor) allocation to simultaneously satisfy conflicting criteria related to economic development, energy consumption, workforce allocation, and greenhouse gas emissions. We validate the model using sectorial data obtained from diverse sources on vital economic sectors for the United Arab Emirates. The results offer significant insights to decision makers for strategic planning decisions and investment allocations towards achieving long term sustainable development goals.

Original languageEnglish
Pages (from-to)789-805
Number of pages17
JournalOperational Research
Volume17
Issue number3
DOIs
Publication statusPublished - Oct 1 2017

Keywords

  • Energy–environment–economic models
  • Multi-criteria decision making
  • Satisfaction function
  • Stochastic goal programming

ASJC Scopus subject areas

  • Numerical Analysis
  • Modelling and Simulation
  • Strategy and Management
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Computational Theory and Mathematics
  • Management of Technology and Innovation

Fingerprint Dive into the research topics of 'Planning sustainable development through a scenario-based stochastic goal programming model'. Together they form a unique fingerprint.

Cite this