A Robust Possibilistic Bi-Objective Mixed Integer Model for Green Biofuel Supply Chain Design under Uncertain Conditions

被引:11
|
作者
Savoji, Hossein [1 ]
Mousavi, Seyed Meysam [1 ]
Antucheviciene, Jurgita [2 ]
Pavlovskis, Miroslavas [2 ]
机构
[1] Shahed Univ, Dept Ind Engn, Tehran 3319118651, Iran
[2] Vilnius Gediminas Tech Univ, Dept Construct Management & Real Estate, LT-10223 Vilnius, Lithuania
关键词
bi-objective mixed integer programming; renewable energy; green; robust possibilistic approach; biofuel supply chain network design; LAND-USE; MANAGEMENT; SYSTEM;
D O I
10.3390/su142013675
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, concerns regarding issues such as climate change, greenhouse gas emissions, fossil reserve dependency, and petroleum price fluctuation have led countries to focus on renewable energies. Meanwhile, in developing countries, designing an appropriate biofuel supply chain network regarding environmental competencies is an important problem. This paper presents a new bi-objective mixed integer mathematical model aiming to minimize CO2 emission and total costs in the process of the biofuel supply chain, creating a suitable green supply chain network. In this respect, CO2 emission and biofuel demand are regarded as uncertain data to address the real complex cases. Moreover, the SAUGMECON approach was implemented to construct a single objective model, and the obtained Pareto optimal points were depicted and analyzed. Thereby, a robust possibilistic programming approach was implemented to the proposed model to handle existing imprecise data. Furthermore, the applicability and performance of the proposed model were demonstrated based on an experimental example. In this respect, the obtained results from the proposed robust possibilistic programming model were compared with its crisp form to show the robustness and reliability of the proposed uncertain mathematical model.
引用
收藏
页数:16
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