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

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

doi:10.1007/s12351-016-0239-8

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

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

Management Science & Engineering

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

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 language	British English
Pages (from-to)	789-805
Number of pages	17
Journal	Operational Research
Volume	17
Issue number	3
DOIs	https://doi.org/10.1007/s12351-016-0239-8
State	Published - 1 Oct 2017

Keywords

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

UN SDGs

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

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10.1007/s12351-016-0239-8

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title = "Planning sustainable development through a scenario-based stochastic goal programming model",

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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AU - Jayaraman, Raja

AU - Colapinto, Cinzia

AU - Liuzzi, Danilo

AU - La Torre, Davide

PY - 2017/10/1

Y1 - 2017/10/1

N2 - 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.

AB - 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.

KW - Energy–environment–economic models

KW - Multi-criteria decision making

KW - Satisfaction function

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JF - Operational Research

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ER -

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

Abstract

Keywords

UN SDGs

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