Abstract
The rapidly increasing population causes an increase in consumption amounts day by day. This leads to negative effects such as the reduction of limited resources. In order to eliminate or reduce such negative effects, sustainable approaches are adopted for the future. Industrial symbiosis is one of these sustainable approaches. Industrial symbiosis is when two or more economic enterprises operating independently of each other form beneficial partnerships. In this study, the factors affecting industrial symbiosis collaboration were determined by literature review and by analyzing these factors; it is aimed to eliminate inefficiencies and to ensure the sustainability of established relations. The criteria determined are weighted with the Analytical Network Process method, which is one of the multi-criteria decision-making methods, and it is aimed to calculate the degree of importance and priority.
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References
Aksüt G, Eren T, Tüfekçi M (2021) Assessment of ergonomic risks for textile sector employees with analytical network process. Int J Eng Res Dev 13(1):231–242
Albino V, Fraccascia L, Gionnoccaro I (2016) Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: an agent-based simulation study. J Clean Prod 112:4353–4366
Aslan N (2005) Analytic Network Process. (Unpublished Master Thesis), Yıldız Technical University, Graduate School of Natural and Applied Sciences
Ayçin E (2020) Using CRITIC and MAIRCA Methods in Personnel Selection Process. İşletme 1(1):1–12
Behera SK, Kim JH, Lee SY, Suh S, Park HS (2012) Evolution of designed industrial symbiosis networks in the ulsan eco-industrial park: research and development into business as the enabling framework. J Clean Prod 29:103–112
Boyacıoğlu C (2010) The analysis of sustainable architecture in the basis of symbiotic relation between city and ecosystem. (Master Thesis), Istanbul Technical University, Graduate School of Natural and Applied Sciences
Çakın E, Özdemir A (2013) Using Analytic Network Process (Anp) and Electre Methods for Supplier Selection Decision and an Application. Afyon Kocatepe University Journal of the Faculty of Economics and Administrative Sciences 15(2):339–364
Ceylan Z, Aydın ŞD (2021) Green production-clean technology and eco-efficiency keys for sustainability. Period Eng Nat Sci 9(2):347–358
Chertow MR (2000) Industrial symbiosis: literature and taxonomy. Annu Rev Energy Environ 25(1):313–337
Chertow MR (2007) Uncovering industrial symbiosis. J Ind Ecol 11(1):11–30
Chertow M, Ehrenfeld J (2012) Organizing self-organizing systems: toward a theory of industrial symbiosis. J Ind Ecol 16(1):13–27
Chopra SS, Khanna V (2014) Understanding resilience in industrial symbiosis networks: insights from network analysis. J Environ Manag 141:86–94
Çınar Y (2004) Multi attribute decision making and an implementation on evaluation of financial performances of banks. Master's Thesis: Ankara University Institute Of Social Sciences
Dağdeviren M, Eraslan E, Kurt M, Dizdar EN (2005) An alternative approach for supplier selection problem with analytic network process. Technology 8(2):115–122
Demircioğlu EN, Ever D (2020) The effect of ensdustrial symbiosis on environmental costs in transition to circular economy. Çukurova University Journal of Social Sciences Institute 29(3):461–473
Doménech T, Davies M (2011) Structure and morphology of industrial symbiosis networks: the case of Kalundborg. Procedia Soc Behav Sci 10:79–89
Erhenfeld JR, Gertler N (1997) Industrial ecology in practice: the evolution of interdependence in Kalundborg. J Ind Ecol 1(1):67–79
Filik G, Doğan Z, Filik AG (2018) Agricultural waste problem can be solved within industrial symbiosis. J Glob Innov Agric Soc Sci 6(4):115–122
Fraccascia L, Yazan DM (2018) The role of online information-sharing platforms on the performance of industrial symbiosis networks. Resour Conserv Recycl 136:473–485
Genç O (2020) Bio-inspired sustainable eco-industrial park development and design, (PhD Thesis). Iskenderun Technical University / Institute of Engineering and Sciences
Güneş M, Umurusman N (2003) A decision support tool fuzzy goal programming tax optimization application in local governments. Rev Soc Econ Bus Stud 2:242–255
Hamurcu M, Eren T (2017) Using analytic network process method for selection of the journal in the Science Citation Index (SCI). Harran Univ J Eng 2(2):54–70
Ilgin MA, Urkan B, Kurtul E (2021) Analysis of the factors that negatively affect the industry 4.0 Transition Process of Turkish manufacturing industry by using house of quality and multi criteria decision making techniques. Eur J Sci Technol (21):591–599
Karakaşoğlu N (2008) Fuzzy multi-criteria decision making methods and application (Master's thesis), Pamukkale University, Institute of Social Sciences
Kumar S, Raut RD, Nayal K, Kraus S, Yadav VS, Narkhede BE (2021) To identify industry 4.0 and circular economy adoption barriers in the agriculture supply chain by using ISM-ANP. J Clean Prod 293:126023
Kurt A, Genç O, Erdis E (2019) Nature-Inspired Eco-Industrial Park Design for the Construction Industry: Location Optimization. 5th International Engineering Architecture and Design Congress
Lambert AJD, Boons FA (2002) Eco-industrial parks: stimulating sustainable development in mixed industrial parks. Technovation 22(8):471–484
Martin M, Svensson N, Eklund M (2015) Who gets the benefits? An approach for assessing the environmental performance of industrial symbiosis. J Clean Prod 98:263–271
Moberg A (2006) Environmental Systems Analysis Tools for Decision-Making: LCA and Swedish Waste Management As An Example, Doctoral Dissertation
Park HS, Behera SK (2014) Methodological Aspects Of Applying Eco-Efficiency Indicators To Industrial Symbiosis Networks. J Clean Prod 64:478–485
Saaty TL (1999) The Analytic Hierarchy Process for Decision Making. Kobe, Japan
Sapmaz VE (2021) The circular economy: barriers, strategies and business models. Ankara University Journal of Environmental Sciences 8(1):7–18
Sert YO, Gür Ş, Eren T (2020) Evaluation of the effect of the fourth industry revolution on the personnel selection processes. Journal of Erciyes University Faculty of Economics and Administrative Sciences (55):191–202
Temiz M, Sağlık A (2021) Sustainable cities: green business parks. Turk J Landsc Stud 4(1):1–13
Ulutaş F (2017) Industrial Ecology. Sustainable Production and Consumption Publications –VI, http://www.rec.org.tr/ p. 1–44
Yazıcı E, Eren T, Alakaş HM (2021) The machining center selection with methods of multi criteria making decisions: the application in manufacturing plant. Ind Eng 32(1):34–54
Yılgın ZG (2019) Modeling and optimization of flows between resource intensive sectors using industrial symbiosis approach, (Master Thesis), Hacettepe Institute of Science and Technology
Zhang X, Chai L (2019) Structural features and evolutionary mechanisms of industrial symbiosis networks: comparable analyses of two different cases. J Clean Prod 213:528–539
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Data curation, E.S.; Methodology, E.S¸S.G.; Writing—original draft preparation, E.S.¸S.G. and T.E.; Validation, T.E.
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Sonel, E., Gür, Ş. & Eren, T. Analysis of factors affecting industrial symbiosis collaboration. Environ Sci Pollut Res 29, 8479–8486 (2022). https://doi.org/10.1007/s11356-021-16213-2
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DOI: https://doi.org/10.1007/s11356-021-16213-2