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

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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.

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Notes

  1. UAE released 200 m tons of greenhouse gases in 2013. URL: http://www.thenational.ae/uae/environment/uae-released-200m-tonnes-of-greenhouse-gases-in-2013.

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, Khalifa University, Abu Dhabi, United Arab Emirates

    Raja Jayaraman

  2. Department of Management, Ca’ Foscari University of Venice, Venice, Italy

    Cinzia Colapinto

  3. Department of Economics, Management, and Quantitative Methods, University of Milan, Milan, Italy

    Danilo Liuzzi & Davide La Torre

  4. Department of Applied Mathematics and Sciences, Khalifa University, Abu Dhabi, United Arab Emirates

    Danilo Liuzzi & Davide La Torre

Authors
  1. Raja Jayaraman
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  2. Cinzia Colapinto
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  3. Danilo Liuzzi
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  4. Davide La Torre
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Correspondence to Raja Jayaraman.

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Jayaraman, R., Colapinto, C., Liuzzi, D. et al. Planning sustainable development through a scenario-based stochastic goal programming model. Oper Res Int J 17, 789–805 (2017). https://doi.org/10.1007/s12351-016-0239-8

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  • DOI: https://doi.org/10.1007/s12351-016-0239-8

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