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

被引：0
|
作者：
Raja Jayaraman
Cinzia Colapinto
Danilo Liuzzi
Davide La Torre
机构：
[1] Khalifa University,Department of Industrial and Systems Engineering
[2] Ca’ Foscari University of Venice,Department of Management
[3] University of Milan,Department of Economics, Management, and Quantitative Methods
[4] Khalifa University,Department of Applied Mathematics and Sciences
来源：
Operational Research | 2017年 / 17卷
关键词：
Multi-criteria decision making; Stochastic goal programming; Satisfaction function; Energy–environment–economic models;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：789 / 805
页数：16
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