Abstract
The global community is actively pursuing alternative energy sources to mitigate environmental concerns and decrease dependence on fossil fuels. Biodiesel, recognized as a clean and eco-friendly fuel with advantages over petroleum-based alternatives, has been identified as a viable substitute. However, its commercialization encounters challenges due to costly production processes. Establishing a more efficient supply chain for mass production and distribution could surmount these obstacles, rendering biodiesel a cost-effective solution. Despite numerous review articles across various renewable energy supply chain domains, there remains a gap in the literature specifically addressing the biodiesel supply chain network design. This research entails a comprehensive systematic literature review (SLR) focusing on the design of biodiesel supply chain networks. The primary objective is to formulate an economically, environmentally, and socially optimized supply chain framework. The review also seeks to offer a holistic overview of pertinent technical terms and key activities involved in these supply chains. Through this SLR, a thorough examination and synthesis of existing literature will yield valuable insights into the design and optimization of biodiesel supply chains. Additionally, it will identify critical research gaps in the field, proposing the exploration of fourth-generation feedstocks, integration of multi-channel chains, and the incorporation of sustainability and resilience aspects into the supply chain network design. These proposed areas aim to address existing knowledge gaps and enhance the overall effectiveness of biodiesel supply chain networks.
Similar content being viewed by others
Data availability
Not applicable.
References
Abbasi M, Pishvaee MS, Mohseni S (2021) Third-generation biofuel supply chain: a comprehensive review and future research directions. J Clean Prod 323:129100. https://doi.org/10.1016/j.jclepro.2021.129100
Acharjee S, Sinha Chaudhuri S (2023) Fuzzy inference based decision making model to control the operational parameters of motion estimation algorithms. Int J Inf Technol 15:2197–2207. https://doi.org/10.1007/s41870-023-01263-1
Ahn Y, Kim J (2021) Economic design framework of microalga-based biodiesel supply chains under uncertainties in CO2 emission and diesel demand. Comput Chem Eng 155:195–211107538. https://doi.org/10.1016/j.compchemeng.2021.107538
Ahn YC, Lee IB, Lee KH, Han JH (2015) Strategic planning design of microalgae biomass-to-biodiesel supply chain network: multi-period deterministic model. Appl Energy 154:528–542. https://doi.org/10.1016/j.apenergy.2015.05.047
Ali S, Yan Q, Irfan M et al (2023) Does biogas energy influence the sustainable development of entrepreneurial business? An application of the extended theory of planned behavior. Environ Sci Pollut Res 30:116279–116298. https://doi.org/10.1007/s11356-023-30352-8
Al-Madani MHM, Fernando Y, Tseng M-L, Abideen AZ (2023) Uncovering four domains of energy management in palm oil production: a sustainable bioenergy production trend. Environ Sci Pollut Res 30:38616–38633. https://doi.org/10.1007/s11356-022-24973-8
Ambaye TG, Vaccari M, Bonilla-Petriciolet A et al (2021) Emerging technologies for biofuel production: a critical review on recent progress, challenges and perspectives. J Environ Manage 290:112627. https://doi.org/10.1016/j.jenvman.2021.112627
Andersen F, Iturmendi F, Espinosa S, Diaz MS (2012) Optimal design and planning of biodiesel supply chain with land competition. Comput Chem Eng 47:170–182. https://doi.org/10.1016/j.compchemeng.2012.06.044
Avami A (2012) A model for biodiesel supply chain: a case study in Iran. Renew Sust Energ Rev 16:4196–4203. https://doi.org/10.1016/j.rser.2012.03.023
Azadeh A, Vafa Arani H (2016) Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach. Renew Energy 93:383–403. https://doi.org/10.1016/j.renene.2016.02.070
Babazadeh R (2017) Optimal design and planning of biodiesel supply chain considering non-edible feedstock. Renew Sust Energ Rev 75:1089–1100. https://doi.org/10.1016/j.rser.2016.11.088
Babazadeh R, Pishvaee R (2017a) An integrated data envelopment analysis–mathematical programming approach to strategic biodiesel supply chain network design problem. J Clean Prod 147:694–707. https://doi.org/10.1016/j.jclepro.2015.09.038
Babazadeh Razmi, Pishvaee Rabbani (2017b) A sustainable second-generation biodiesel supply chain network design problem under risk. Omega-Int J Manage Sci 66:258–277. https://doi.org/10.1016/j.omega.2015.12.010
Babazadeh R, Ghaderi H, Pishvaee MS (2019) A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty. Comput Chem Eng 124:364–380. https://doi.org/10.1016/j.compchemeng.2019.01.013
Balat M (2011) Potential alternatives to edible oils for biodiesel production – a review of current work. Energy Conv Manag 52:1479–1492. https://doi.org/10.1016/j.enconman.2010.10.011
Bartholomew D (1981) Vegetable oil fuel. J Am Oil Chemist Soc 58:286A-288A
BNEF (2019) Energy storage investments boom as battery costs Halve in the next decade. BloombergNEF. https://about.bnef.com/blog/energy-storage-investments-boom-battery-costs-halve-next-decade/
Cameron DE, Bashor CJ, Collins JJ (2014) A brief history of synthetic biology. Nat Rev Microbiol 12:381–390. https://doi.org/10.1038/nrmicro3239
Chisti Y (2007) Biodiesel from microalgae. Biotechnol Adv 25:294–306. https://doi.org/10.1016/j.biotechadv.2007.02.001
Crippa M, Guizzardi D, Banja M et al (2022) CO2 emissions of all world countries: JRC/IEA/PBL 2022 Report. Publications Office of the European Union. https://doi.org/10.2760/07904
Čuček L, Martín M, Grossmann IE, Kravanja Z (2014) Multi-period synthesis of optimally integrated biomass and bioenergy supply network. Comput Chem Eng 66:57–70. https://doi.org/10.1016/j.compchemeng.2014.02.020
Deng Z, Ciais P, Tzompa-Sosa ZA et al (2022) Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions. Earth Syst Sci Data 14:1639–1675. https://doi.org/10.5194/essd-14-1639-2022
Dhakal S, Minx JC, Toth FL et al (2022) Emissions trends and drivers. In: Climate Change 2022. Intergovernmental Panel on Climate Change https://doi.org/10.1017/9781009157926.004
Edenhofer O, Pichs-Madruga R, Sokona Y, et al. (2011). Renewable energy sources and climate change mitigation: special report of the intergovernmental panel on climate change. In. Cambridge University Press
Friedlingstein P, O’sullivan M, Jones MW et al (2020) Global carbon budget 2020. Earth Syst Sci Data 12:3269–3340. https://doi.org/10.5194/essd-12-3269-2020
Ganev E, Ivanov B, Vaklieva-Bancheva N et al (2021) A multi-objective approach toward optimal design of sustainable integrated biodiesel/diesel supply chain based on first-and second-generation feedstock with solid waste use. Energies 14:2261. https://doi.org/10.3390/en14082261
Geng N, Sun Y (2021) Multiobjective optimization of sustainable WCO for biodiesel supply chain network design. Discrete Dyn Nat Soc 2021:6640358. https://doi.org/10.1155/2021/6640358
Geng N, Fu Q, Sun Y (2021) Stochastic programming of sustainable waste cooking oil for biodiesel supply chain under uncertainty. J Adv Transp 2021:5335625. https://doi.org/10.1155/2021/5335625
Ghelichi Z, Saidi-Mehrabad M, Pishvaee MS (2018) A stochastic programming approach toward optimal design and planning of an integrated green biodiesel supply chain network under uncertainty: a case study. Energy 156:661–687. https://doi.org/10.1016/j.energy.2018.05.103
Glavaš D, Pandžić M, Domijan D (2023) The role of working memory capacity in soccer tactical decision making at different levels of expertise. Cogn Res: Principles Implications 8:20. https://doi.org/10.1186/s41235-023-00473-2
González-Delgado AD, García-Martínez JB, Barajas-Solano AF (2021) Evaluation of algae-based biodiesel production topologies via inherent safety index (ISI). Appl Sci 11. https://doi.org/10.3390/app11062854
Goyal L, Kiran R, Bose SC (2023) An empirical investigation of the influence of leadership styles and strategic decision-making on business performance: a generational ownership perspective. Curr Psychol. https://doi.org/10.1007/s12144-023-04705-y
Grassi G, Conchedda G, Federici S, et al. (2022) Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting. Earth System Sci Data Discussions 1-49. 10.5194/essd-14-4643-2022
Habib MS, Tayyab M, Zahoor S, Sarkar B (2020) Management of animal fat-based biodiesel supply chain under the paradigm of sustainability. Energy Conv Manag 225:113345. https://doi.org/10.1016/j.enconman.2020.113345
Habib M, Asghar O, Hussain A et al (2021) A robust possibilistic programming approach toward animal fat-based biodiesel supply chain network design under uncertain environment. J Clean Prod 278:122403. https://doi.org/10.1016/j.jclepro.2020.122403
Habib MS, Omair M, Ramzan MB et al (2022) A robust possibilistic flexible programming approach toward a resilient and cost-efficient biodiesel supply chain network. J Clean Prod 132752. https://doi.org/10.1016/j.jclepro.2022.132752
Hombach LE, Büsing C, Walther G (2018) Robust and sustainable supply chains under market uncertainties and different risk attitudes – a case study of the German biodiesel market. Eur J Oper Res 269:302–312. https://doi.org/10.1016/j.ejor.2017.07.015
Hosseinalizadeh R, Arshadi Khamseh A, Akhlaghi MM (2019) A multi-objective and multi-period model to design a strategic development program for biodiesel fuels. Sustain Energy Technol Assess 36:100545. https://doi.org/10.1016/j.seta.2019.100545
Huppmann D, Kriegler E, Krey V, et al (2018) IAMC 1.5°C Scenario Explorer and Data hosted by IIASA. International Institute for Applied Systems Analysis & Integrated Assessment Modeling Consortium. (2018) 10.22022:15429. https://doi.org/10.5281/zenodo.363345
IEA (2022) Energy demand, World Energy Outlook 2022. https://www.iea.org/reports/world-energy-outlook-2022
Inganäs O, Sundström V (2016) Solar energy for electricity and fuels. Ambio 45:15–23. https://doi.org/10.1007/s13280-015-0729-6
IRENA (2022) Global jobs. https://www.irena.org/Data/View-data-by-topic/Benefits/Employment-Time-Series
Ivanov B, Dimitrova B, Dobrudzhaliev D (2014) Optimal design and planning of biodiesel supply chain considering crop rotation model Part 1. Mathematical model formulation of the problem. Bulg Chem Commun 46:294–305
Ivanov B, Nikolova D, Kirilova E, Vladova R (2022) A MILP approach of optimal design of a sustainable combined dairy and biodiesel supply chain using dairy waste scum generated from dairy production. Comput Chem Eng 166:107976. https://doi.org/10.1016/j.compchemeng.2022.107976
Jacob A, Ashok B, Lawrence J et al (2023) Exploring the potential of third-generation microalgae bio-alcohol and biodiesel in arresting particulate smoke emissions and greenhouse gases using CART. Environ Sci Pollut Res 30:27650–27669. https://doi.org/10.1007/s11356-022-24110-5
Jeong H, Sieverding HL, Stone JJ (2019) Biodiesel supply chain optimization modeled with Geographical Information System (GIS) and Mixed-Integer Linear Programming (MILP) for the Northern Great Plains Region. BioEnergy Res 12:229–240. https://doi.org/10.1007/s12155-018-9943-y
Jiang Y, Zhang Y (2016) Supply chain optimization of biodiesel produced from waste cooking oil. Transp Res Proc 12:938–949. https://doi.org/10.1016/j.trpro.2016.02.045
Kalhor T, Sharifi M, Mobli H (2023) A robust optimization approach for an integrated hybrid biodiesel and biomethane supply chain network design under uncertainty: case study. Int J Energy Environ Eng 14:189–210. https://doi.org/10.1007/s40095-022-00513-5
Kalhor T, Sharifi M, Mobli H (2022) A robust optimization approach for an integrated hybrid biodiesel and biomethane supply chain network design under uncertainty: case study. Int J Energy Environ Eng. https://doi.org/10.1007/s40095-022-00513-5
Kanan M, Habib MS, Shahbaz A et al (2022) A grey-fuzzy programming approach towards socio-economic optimization of second-generation biodiesel supply chains. Sustainability 14:10169. https://doi.org/10.3390/su141610169
Kaygusuz K (2012) Energy for sustainable development: a case of developing countries. Renew Sust Energ Rev 16:1116–1126. https://doi.org/10.1016/j.rser.2011.11.013
Kebede AA, Kalogiannis T, Van Mierlo J, Berecibar M (2022) A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration. Renew Sust Energ Rev 159:112213. https://doi.org/10.1016/j.rser.2022.112213
Kelloway A, Marvin WA, Schmidt LD, Daoutidis P (2013) Process design and supply chain optimization of supercritical biodiesel synthesis from waste cooking oils. Chem Eng Res Des 91:1456–1466. https://doi.org/10.1016/j.cherd.2013.02.013
Kowalska M, Wegierek-Ciuk A, Brzoska K et al (2017) Genotoxic potential of diesel exhaust particles from the combustion of first- and second-generation biodiesel fuels—the FuelHealth project. Environ Sci Pollut Res 24:24223–24234. https://doi.org/10.1007/s11356-017-9995-0
Koyani K, Shah M, Parikh SP, Shah D (2023) Retraction note: a systematic study on simulation and modeling of a solar biogas reactor. Environ Sci Pollut Res 30:95037–95037. https://doi.org/10.1007/s11356-023-29441-5
Kwon O, Han J (2021) Organic-waste-derived butyric acid-to-biodiesel supply-chain network: Strategic planning design using a deterministic snapshot model. J Environ Manage 293:112848. https://doi.org/10.1016/j.jenvman.2021.112848
Kwon O, Kim J, Han J (2022) Organic waste derived biodiesel supply chain network: deterministic multi-period planning model. Appl Energy 305:117847. https://doi.org/10.1016/j.apenergy.2021.117847
Le Quéré C, Jackson RB, Jones MW et al (2020) Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement. Nat Clim Chang 10:647–653. https://doi.org/10.1038/s41558-020-0797-x
Leão RRDCC, Hamacher S, Oliveira F (2011) Optimization of biodiesel supply chains based on small farmers: a case study in Brazil. Bioresour Technol 102:8958–8963. https://doi.org/10.1016/j.biortech.2011.07.002
Lee CY, Sun WC, Li YH (2022) Biodiesel economic evaluation and biomass planting allocation optimization in global supply chain. IEEE Trans Eng Manage 69:602–615. https://doi.org/10.1109/TEM.2019.2900033
Lim CH, Chua WX, Pang YW et al (2020) A diverse and sustainable biodiesel supply chain optimisation model based on properties integration. Sustainability 12:8400. https://doi.org/10.3390/su12208400
Liu Z, Ciais P, Deng Z et al (2020) Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic. Nat Commun 11:5172. https://doi.org/10.1038/s41467-020-18922-7
Liu Z, Deng Z, Davis SJ et al (2022) Monitoring global carbon emissions in 2021. Nat Rev Earth Environ 3:217–219. https://doi.org/10.1038/s43017-022-00285-w
Ma F, Hanna MA (1999) Biodiesel production: a review. Bioresour Technol 70:1–15. https://doi.org/10.1016/S0960-8524(99)00025-5
Ma X, Gao M, Gao Z et al (2018) Past, current, and future research on microalga-derived biodiesel: a critical review and bibliometric analysis. Environ Sci Pollut Res 25:10596–10610. https://doi.org/10.1007/s11356-018-1453-0
Marufuzzaman M, Eksioglu S, Huang Y (2014a) Two-stage stochastic programming supply chain model for biodiesel production via wastewater treatment. Comput Oper Res 49:1–17. https://doi.org/10.1016/j.cor.2014.03.010
Marufuzzaman M, Ekşioʇlu S, Hernandez R (2014b) Environmentally friendly supply chain planning and design for biodiesel production via wastewater sludge. Transp Sci 48:555–574. https://doi.org/10.1287/trsc.2013.0505
Masson-Delmotte V, Zhai P, Pirani A, et al (2021) Climate change 2021: the physical science basis. https://www.ipcc.ch/report/ar6/wg1/chapter/chapter-12/
Mata TM, Martins AA, Caetano NS (2010) Microalgae for biodiesel production and other applications: a review. Renew Sust Energ Rev 14:217–232. https://doi.org/10.1016/j.rser.2009.07.020
Mirhashemi MS, Mohseni S, Hasanzadeh M, Pishvaee MS (2018) Moringa oleifera biomass-to-biodiesel supply chain design: an opportunity to combat desertification in Iran. J Clean Prod 203:313–327. https://doi.org/10.1016/j.jclepro.2018.08.257
Mohseni S, Pishvaee MS (2020) Data-driven robust optimization for wastewater sludge-to-biodiesel supply chain design. Comput Ind Eng 139:105944. https://doi.org/10.1016/j.cie.2019.07.001
Mohseni S, Pishvaee MS, Sahebi H (2016) Robust design and planning of microalgae biomass-to-biodiesel supply chain: a case study in Iran. Energy 111:736–755. https://doi.org/10.1016/j.energy.2016.06.025
Mohtashami Z, Bozorgi-Amiri A, Tavakkoli-Moghaddam R (2021) A two-stage multi-objective second generation biodiesel supply chain design considering social sustainability: a case study. Energy 233:121020. https://doi.org/10.1016/j.energy.2021.121020
Moravvej Z, Makarem MA, Rahimpour MR (2019). The fourth generation of biofuel. In: Basile A & Dalena F (Eds.), Second and Third Generation of Feedstocks (pp. 557–597). Elsevier. https://doi.org/10.1016/B978-0-12-815162-4.00020-3
Mulvey JM, Vanderbei RJ, Zenios SA (1995) Robust optimization of large-scale systems. Oper Res 43:264–281. https://doi.org/10.1287/opre.43.2.264
Munir MA, Imran S, Farooq M, et al (2023) Development of a supply chain model for the production of biodiesel from waste cooking oil for sustainable development. Front Energy Res 11. https://doi.org/10.3389/fenrg.2023.1222787
OPEC (2022) World oil outlook. Organization of the Petroleum Exporting Countries. https://www.opec.org/opec_web/en/publications/340.htm
Orjuela-Castro JA, Aranda-Pinilla JA, Moreno-Mantilla CE (2019) Identifying trade-offs between sustainability dimensions in the supply chain of biodiesel in Colombia. Comput Electron Agric 161:162–169. https://doi.org/10.1016/j.compag.2018.03.009
Owusu PA, Sarkodie AS (2016) A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Eng 3:1167990. https://doi.org/10.1080/23311916.2016.1167990
Pasha MK, Dai L, Liu D et al (2021) An overview to process design, simulation and sustainability evaluation of biodiesel production. Biotechnol Biofuels 14:129. https://doi.org/10.1186/s13068-021-01977-z
Pial RH, Hashan MR, Ghozy S et al (2020) Comparative study on respiratory function among rural women using biomass fuel and non-biomass fuel: evidence of a cross-sectional survey in Bangladesh. Environ Sci Pollut Res 27:24039–24047. https://doi.org/10.1007/s11356-020-08668-6
Rafie SM, Sahebi H (2021) An integrated gas-oil and bio-diesel supply network model with strategic and tactical applications considering the environmental aspects. Oil Gas Sci Technol 76:47. https://doi.org/10.2516/ogst/2021021
Rahman MM, Rasul MG, Hassan NMS et al (2017) Effect of small proportion of butanol additive on the performance, emission, and combustion of Australian native first- and second-generation biodiesel in a diesel engine. Environ Sci Pollut Res 24:22402–22413. https://doi.org/10.1007/s11356-017-9920-6
Rahmani S, Goli A (2023) Robust sustainable canola oil-based biodiesel supply chain network design under supply and demand uncertainty. Environ Sci Pollut Res 30:86268–86299. https://doi.org/10.1007/s11356-023-28044-4
Rajpoot AS, Saini G, Chelladurai HM et al (2023) Comparative combustion, emission, and performance analysis of a diesel engine using carbon nanotube (CNT) blended with three different generations of biodiesel. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-023-28965-0
Rasekh A, Hamidzadeh F, Sahebi H, Pishvaee MS (2022) A sustainable network design of a hybrid biomass supply chain by considering the water–energy–carbon nexus. Energy Sci Eng n/a. https://doi.org/10.1002/ese3.1374
Ren J, Tan S, Yang L et al (2015) Optimization of emergy sustainability index for biodiesel supply network design. Energy Conv Manag 92:312–321. https://doi.org/10.1016/j.enconman.2014.12.066
Rezaei M, Chaharsooghi SK, Husseinzadeh Kashan A, Babazadeh R (2020) Optimal design and planning of biodiesel supply chain network: a scenario-based robust optimization approach. Int J Energy Environ Eng 11:111–128. https://doi.org/10.1007/s40095-019-00316-1
Rincón LE, Valencia MJ, Hernández V et al (2015) Optimization of the Colombian biodiesel supply chain from oil palm crop based on techno-economical and environmental criteria. Energy Econ 47:154–167. https://doi.org/10.1016/j.eneco.2014.10.018
Rocha AM, Sahoo D, Ferrer T, et al (2012) Biodiesel production from microalgae: a mapping of articles and patents. In: The Science of Algal Fuels: Phycology, Geology, Biophotonics, Genomics and Nanotechnology (pp. 283–303). Springer Netherlands. https://doi.org/10.1007/978-94-007-5110-1_16
Shirazaki S, Pishvaee MS, Sobati MA (2023) Integrated supply chain network design and superstructure optimization problem: a case study of microalgae biofuel supply chain. Comput Chem Eng 180:108468. https://doi.org/10.1016/j.compchemeng.2023.108468
Singh D, Sharma D, Soni SL et al (2020) A review on feedstocks, production processes, and yield for different generations of biodiesel. Fuel 262:116553. https://doi.org/10.1016/j.fuel.2019.116553
Singh SK, Chauhan A, Sarkar B (2023) Sustainable biodiesel supply chain model based on waste animal fat with subsidy and advertisement. J Clean Prod 382:134806. https://doi.org/10.1016/j.jclepro.2022.134806
Umar M, Tayyab M, Chaudhry HR, Su C-W (2023) Navigating epistemic uncertainty in third-generation biodiesel supply chain management through robust optimization for economic and environmental performance. Ann Oper Res. https://doi.org/10.1007/s10479-023-05574-1
UNEP (2022) Emissions Gap Report 2022. UN environment programme. https://www.unep.org/resources/emissions-gap-report-2022
Wani NA, Mishra U (2023) A sustainable municipal solid waste supply chain management with biodiesel energy production using microwave technology. Environ Dev Sustain. https://doi.org/10.1007/s10668-023-04039-6
Waris A, Khan S, Hronec M, Suplata M (2023) The impact of hydro-biofuel-wind-solar energy consumption and coal consumption on carbon emission in G20 countries. Environ Sci Pollut Res 30:72503–72513. https://doi.org/10.1007/s11356-023-27442-y
Winning M, Price J, Ekins P et al (2019) Nationally determined contributions under the Paris Agreement and the costs of delayed action. Clim Policy 19:947–958. https://doi.org/10.1080/14693062.2019.1615858
Yadala S, Smith JD, Young D et al (2020) Optimization of the algal biomass to biodiesel supply chain: case studies of the state of Oklahoma and the United States. Processes 8:476. https://doi.org/10.3390/PR8040476
Yazdanparast R, Jolai F, Pishvaee MS, Keramati A (2021) Second-generation biofuel development in iran: current state and future directions. Energy Sources Part B: Econ Plan Policy 16:258–278. https://doi.org/10.1080/15567249.2020.1868620
Yu J, Lee IB, Han J, Ahn Y (2020) Stochastic approach to optimize the supply chain network of microalga-derived biodiesel under uncertain diesel demand. J Chem Eng Jpn 53:24–35. https://doi.org/10.1252/jcej.19we110
Zerafati ME, Bozorgi-Amiri A, Golmohammadi A-M, Jolai F (2022) A multi-objective mixed integer linear programming model proposed to optimize a supply chain network for microalgae-based biofuels and co-products: a case study in Iran. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-022-19465-8
Zhang Y, Jiang Y (2017) Robust optimization on sustainable biodiesel supply chain produced from waste cooking oil under price uncertainty. Waste Manage 60:329–339. https://doi.org/10.1016/j.wasman.2016.11.004
Zhang Y, Jiang Y, Zhong M et al (2016) Robust optimization on regional WCO-for-biodiesel supply chain under supply and demand uncertainties. Sci Program 2016:1087845. https://doi.org/10.1155/2016/1087845
Zhang Y, Yu Q, Li J (2021) Bioenergy research under climate change: a bibliometric analysis from a country perspective. Environ Sci Pollut Res 28:26427–26440. https://doi.org/10.1007/s11356-021-12448-1
Zheng T, Wang B, Rajaeifar MA et al (2020) How government policies can make waste cooking oil-to-biodiesel supply chains more efficient and sustainable. J Clean Prod 263:121494. https://doi.org/10.1016/j.jclepro.2020.121494
Author information
Authors and Affiliations
Contributions
All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Sourena Rahmani, Alireza Goli, and Ali Zackery. The first draft of the manuscript was written by Sourena Rahmani. Alireza Goli and Ali Zackery commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Ta Yeong Wu
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Rahmani, S., Goli, A. & Zackery, A. Biodiesel supply chain network design: a comprehensive review with qualitative and quantitative insights. Environ Sci Pollut Res 31, 34787–34816 (2024). https://doi.org/10.1007/s11356-024-33392-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-024-33392-w