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
相关论文
共 50 条
  • [41] Bi-objective mixed-integer nonlinear programming for multi-commodity tri-echelon supply chain networks
    Alavidoost, M. H.
    Tarimoradi, Mosahar
    Zarandi, M. H. Fazel
    JOURNAL OF INTELLIGENT MANUFACTURING, 2018, 29 (04) : 809 - 826
  • [42] Bi-objective robust closed-loop supply chain network design with considering various recovery options
    Bagherinejad, Jafar
    Hassanpour, Atefeh
    2016 12TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING (ICIE), 2016,
  • [43] Designing a bi-objective multi-echelon robust blood supply chain in a disaster
    Habibi-Kouchaksaraei, Mitra
    Paydar, Mohammad Mandi
    Asadi-Gangraj, Ebrahim
    APPLIED MATHEMATICAL MODELLING, 2018, 55 : 583 - 599
  • [44] A supply chain design problem with facility location and bi-objective transportation choices
    Olivares-Benitez, Elias
    Luis Gonzalez-Velarde, Jose
    Rios-Mercado, Roger Z.
    TOP, 2012, 20 (03) : 729 - 753
  • [45] A note on bi-objective optimization for sustainable supply chain network design in omnichannel
    Lei, Weidong
    Ke, Dandan
    Yan, Pengyu
    Zhang, Jinsuo
    Li, Jinhang
    JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2022, 33 (07) : 1369 - 1383
  • [46] Robust Optimization for a Bi-Objective Green Closed-Loop Supply Chain with Heterogeneous Transportation System and Presorting Consideration
    Kaoud, Essam
    Abdel-Aal, Mohammad A. M.
    Sakaguchi, Tatsuhiko
    Uchiyama, Naoki
    SUSTAINABILITY, 2022, 14 (16)
  • [47] A supply chain design problem with facility location and bi-objective transportation choices
    Elias Olivares-Benitez
    José Luis González-Velarde
    Roger Z. Ríos-Mercado
    TOP, 2012, 20 : 729 - 753
  • [48] A belief degree-based uncertain scheme for a bi-objective two-stage green supply chain network design problem with direct shipment
    Ali Mahmoodirad
    Sadegh Niroomand
    Soft Computing, 2020, 24 : 18499 - 18519
  • [49] Bi-objective optimization of a supply chain: identification of the key impact category and green management
    Camilo, Rodrigo
    Bonfim-Rocha, Lucas
    Macowski, Diogo H.
    Mano, Thiago B.
    Orgeda, Rodrigo
    Almeida, Regiani A.
    Rezende, Ricardo V. P.
    Ravagnani, Mauro A. S. S.
    BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING, 2020, 37 (01) : 157 - 171
  • [50] An accelerated benders decomposition algorithm for a bi-objective green closed loop supply chain network design problem
    Mardan, Ehsan
    Govindan, Kannan
    Mina, Hassan
    Gholami-Zanjani, Seyed Mohammad
    JOURNAL OF CLEANER PRODUCTION, 2019, 235 : 1499 - 1514