IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v74y2014icp928-940.html
   My bibliography  Save this article

A fuzzy multiobjective linear programming model for design and management of anaerobic digestion based bioenergy supply chains

Author

Listed:
  • Yılmaz Balaman, Şebnem
  • Selim, Hasan

Abstract

The purpose of this study is to develop a decision support system (DSS) for design and management of anaerobic digestion based biomass to energy supply chains in a cost effective and environment friendly manner by tackling inherent uncertainties. To this aim, a fuzzy multiobjective mixed integer linear programming (MILP) model is constructed. To explore the viability of the proposed model, computational experiments are performed on a real world problem. The results reveal that the proposed model can effectively be used in practice.

Suggested Citation

  • Yılmaz Balaman, Şebnem & Selim, Hasan, 2014. "A fuzzy multiobjective linear programming model for design and management of anaerobic digestion based bioenergy supply chains," Energy, Elsevier, vol. 74(C), pages 928-940.
    • Handle: RePEc:eee:energy:v:74:y:2014:i:c:p:928-940
    DOI: 10.1016/j.energy.2014.07.073
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544214008950
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2014.07.073?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Karellas, Sotirios & Boukis, Ioannis & Kontopoulos, Georgios, 2010. "Development of an investment decision tool for biogas production from agricultural waste," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1273-1282, May.
    3. Foo, Dominic C.Y. & Tan, Raymond R. & Lam, Hon Loong & Abdul Aziz, Mustafa Kamal & Klemeš, Jiří Jaromír, 2013. "Robust models for the synthesis of flexible palm oil-based regional bioenergy supply chain," Energy, Elsevier, vol. 55(C), pages 68-73.
    4. Osmani, Atif & Zhang, Jun, 2013. "Stochastic optimization of a multi-feedstock lignocellulosic-based bioethanol supply chain under multiple uncertainties," Energy, Elsevier, vol. 59(C), pages 157-172.
    5. Pérez-Fortes, Mar & Laínez-Aguirre, José Miguel & Arranz-Piera, Pol & Velo, Enrique & Puigjaner, Luis, 2012. "Design of regional and sustainable bio-based networks for electricity generation using a multi-objective MILP approach," Energy, Elsevier, vol. 44(1), pages 79-95.
    6. Sodhi, ManMohan S. & Tang, Christopher S., 2009. "Modeling supply-chain planning under demand uncertainty using stochastic programming: A survey motivated by asset-liability management," International Journal of Production Economics, Elsevier, vol. 121(2), pages 728-738, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mosayeb Dashtpeyma & Reza Ghodsi, 2021. "Forest Biomass and Bioenergy Supply Chain Resilience: A Systematic Literature Review on the Barriers and Enablers," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    2. Ivanov, Boyan & Stoyanov, Stoyan, 2016. "A mathematical model formulation for the design of an integrated biodiesel-petroleum diesel blends system," Energy, Elsevier, vol. 99(C), pages 221-236.
    3. Ilbahar, Esra & Kahraman, Cengiz & Cebi, Selcuk, 2021. "Location selection for waste-to-energy plants by using fuzzy linear programming," Energy, Elsevier, vol. 234(C).
    4. Bairamzadeh, Samira & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach," Renewable Energy, Elsevier, vol. 116(PA), pages 500-517.
    5. Raja Jayaraman & Danilo Liuzzi & Cinzia Colapinto & Tufail Malik, 2017. "A fuzzy goal programming model to analyze energy, environmental and sustainability goals of the United Arab Emirates," Annals of Operations Research, Springer, vol. 251(1), pages 255-270, April.
    6. 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.
    7. Luis Puigjaner & Mar Pérez-Fortes & José M. Laínez-Aguirre, 2015. "Towards a Carbon-Neutral Energy Sector: Opportunities and Challenges of Coordinated Bioenergy Supply Chains-A PSE Approach," Energies, MDPI, vol. 8(6), pages 1-48, June.
    8. Yılmaz Balaman, Şebnem & Wright, Daniel G. & Scott, James & Matopoulos, Aristides, 2018. "Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy," Energy, Elsevier, vol. 143(C), pages 911-933.
    9. Alsaleh, Mohd & Abdul-Rahim, A.S. & Mohd-Shahwahid, H.O., 2017. "Determinants of technical efficiency in the bioenergy industry in the EU28 region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1331-1349.
    10. Ozden Tozanli & Gazi Murat Duman & Elif Kongar & Surendra M. Gupta, 2017. "Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey," Logistics, MDPI, vol. 1(1), pages 1-42, June.
    11. Kozarević, Safet & Puška, Adis, 2018. "Use of fuzzy logic for measuring practices and performances of supply chain," Operations Research Perspectives, Elsevier, vol. 5(C), pages 150-160.
    12. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    13. Jin, Jingliang & Zhou, Dequn & Zhou, Peng & Qian, Shuqu & Zhang, Mingming, 2016. "Dispatching strategies for coordinating environmental awareness and risk perception in wind power integrated system," Energy, Elsevier, vol. 106(C), pages 453-463.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jyoti Dhingra Darbari & Devika Kannan & Vernika Agarwal & P. C. Jha, 2019. "Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem," Annals of Operations Research, Springer, vol. 273(1), pages 693-738, February.
    2. Tang, Christopher S. & Davarzani, Hoda & Sarkis, Joseph, 2015. "Quantitative models for managing supply chain risks: A reviewAuthor-Name: Fahimnia, Behnam," European Journal of Operational Research, Elsevier, vol. 247(1), pages 1-15.
    3. Azadeh, Ali & Vafa Arani, Hamed & Dashti, Hossein, 2014. "A stochastic programming approach towards optimization of biofuel supply chain," Energy, Elsevier, vol. 76(C), pages 513-525.
    4. Mula, Josefa & Peidro, David & Poler, Raul, 2010. "The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand," International Journal of Production Economics, Elsevier, vol. 128(1), pages 136-143, November.
    5. Mayerle, Sérgio Fernando & Neiva de Figueiredo, João, 2016. "Designing optimal supply chains for anaerobic bio-digestion/energy generation complexes with distributed small farm feedstock sourcing," Renewable Energy, Elsevier, vol. 90(C), pages 46-54.
    6. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    7. Gourav Gupta & Shivani & Deepika Rani, 2024. "Neutrosophic goal programming approach for multi-objective fixed-charge transportation problem with neutrosophic parameters," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1274-1300, September.
    8. Berna Tektas Sivrikaya & Ferhan Cebi & Hasan Hüseyin Turan & Nihat Kasap & Dursun Delen, 2017. "A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts," Information Systems Frontiers, Springer, vol. 19(5), pages 975-991, October.
    9. Collan, Mikael, 2008. "New Method for Real Option Valuation Using Fuzzy Numbers," Working Papers 466, IAMSR, Åbo Akademi.
    10. Kim, Jong Soon & Whang, Kyu-Seung, 1998. "A tolerance approach to the fuzzy goal programming problems with unbalanced triangular membership function," European Journal of Operational Research, Elsevier, vol. 107(3), pages 614-624, June.
    11. Berna Tektaş & Hasan Hüseyin Turan & Nihat Kasap & Ferhan Çebi & Dursun Delen, 2022. "A Fuzzy Prescriptive Analytics Approach to Power Generation Capacity Planning," Energies, MDPI, vol. 15(9), pages 1-26, April.
    12. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    13. Víctor G. Alfaro-García & Anna M. Gil-Lafuente & Gerardo G. Alfaro Calderón, 2017. "A fuzzy approach to a municipality grouping model towards creation of synergies," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 391-408, September.
    14. Aghayi, Nazila & Maleki, Bentolhoda, 2016. "Efficiency measurement of DMUs with undesirable outputs under uncertainty based on the directional distance function: Application on bank industry," Energy, Elsevier, vol. 112(C), pages 376-387.
    15. Wenyao Niu & Yuan Rong & Liying Yu & Lu Huang, 2022. "A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    16. de Andres-Sanchez, Jorge, 2007. "Claim reserving with fuzzy regression and Taylor's geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 40(1), pages 145-163, January.
    17. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    18. Mikhailov, L., 2004. "A fuzzy approach to deriving priorities from interval pairwise comparison judgements," European Journal of Operational Research, Elsevier, vol. 159(3), pages 687-704, December.
    19. Hosseini, Seyed Ehsan & Wahid, Mazlan Abdul, 2014. "Development of biogas combustion in combined heat and power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 868-875.
    20. Hongyi Sun & Bingqian Zhang & Wenbin Ni, 2022. "A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection," Mathematics, MDPI, vol. 10(19), pages 1-19, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:74:y:2014:i:c:p:928-940. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.