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

Author

Listed:
  • Raja Jayaraman

    (Khalifa University)

  • Cinzia Colapinto

    (Ca’ Foscari University of Venice)

  • Danilo Liuzzi

    (University of Milan
    Khalifa University)

  • Davide Torre

    (University of Milan
    Khalifa University)

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.

Suggested Citation

  • Raja Jayaraman & Cinzia Colapinto & Danilo Liuzzi & Davide Torre, 2017. "Planning sustainable development through a scenario-based stochastic goal programming model," Operational Research, Springer, vol. 17(3), pages 789-805, October.
    • Handle: RePEc:spr:operea:v:17:y:2017:i:3:d:10.1007_s12351-016-0239-8
    DOI: 10.1007/s12351-016-0239-8
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    References listed on IDEAS

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    Cited by:

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    2. Ahteshamul Haq & Umar Muhammad Modibbo & Aquil Ahmed & Irfan Ali, 2022. "Mathematical modeling of sustainable development goals of India agenda 2030: a Neutrosophic programming approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11991-12018, October.
    3. Ieva Meidute-Kavaliauskiene & Vida Davidaviciene & Shahryar Ghorbani & Iman Ghasemian Sahebi, 2021. "Optimal Allocation of Gas Resources to Different Consumption Sectors Using Multi-Objective Goal Programming," Sustainability, MDPI, vol. 13(10), pages 1-19, May.
    4. Danilo Liuzzi & Veronica Lupi & Aymeric Vié, 2022. "Sustainability, cooperation and mobility of workers within and between European countries: a two-stage goal programming model," Annals of Operations Research, Springer, vol. 311(2), pages 749-769, April.
    5. Cinzia Colapinto & Raja Jayaraman & Fouad Ben Abdelaziz & Davide La Torre, 2020. "Environmental sustainability and multifaceted development: multi-criteria decision models with applications," Annals of Operations Research, Springer, vol. 293(2), pages 405-432, October.
    6. Donya Rahmani & Arash Zandi & Sara Behdad & Arezou Entezaminia, 2021. "A light robust model for aggregate production planning with consideration of environmental impacts of machines," Operational Research, Springer, vol. 21(1), pages 273-297, March.
    7. Umar Muhammad Modibbo & Irfan Ali & Aquil Ahmed, 2021. "Multi-objective optimization modelling for analysing sustainable development goals of Nigeria: Agenda 2030," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9529-9563, June.
    8. Srikant Gupta & Armin Fügenschuh & Irfan Ali, 2018. "A Multi-Criteria Goal Programming Model to Analyze the Sustainable Goals of India," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    9. Salem Nechi & Belaid Aouni & Zouhair Mrabet, 2020. "Managing sustainable development through goal programming model and satisfaction functions," Annals of Operations Research, Springer, vol. 293(2), pages 747-766, October.
    10. Manuel Sousa & Maria Fatima Almeida & Rodrigo Calili, 2021. "Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda," Sustainability, MDPI, vol. 13(8), pages 1-37, April.

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