INDUSTRY 4.0 AND THE CIRCULAR ECONOMY: ARE THESE INTEGRATED OR DISJOINTED CONCEPTS? A RESEARCH AGENDA

Autores

DOI:

https://doi.org/10.15675/gepros.v15i4.2771

Palavras-chave:

Industry 4.0, Circular economy, Integration, Sustainability, Future research.

Resumo

Purpose - To analyze whether the concepts of industry 4.0 and the circular economy are integrated or disjointed, recognizing which keywords are most used in the literature regarding this relationship and the occurrence.  

Design/methodology/approach – A bibliometric study and keyword study were used to recognize which were the most latent actions and strategies in the study of integration. The software VOSviewer was used to study the keywords.

Findings - The concepts of industry 4.0 and the circular economy can be considered interconnected, with some limitations explored in the article, along with proposed future research opportunities on the subject.

Originality/value - This study contributes to business managers in the sense that it facilitates an understanding that industry 4.0 and the circular economy can be used together. The result of the keywords identifies which skills, strategies, technologies and fundamentals the company should develop to make the circular economy effective, through industry 4.0. For academic research, another study has contributed to the integration of industry 4.0 and the circular economy, which is not found very often in the literature. Keywords were also mapped, which, until now, had not been developed in existing articles on integration, in addition to proposing a framework that can be transformed and suggesting research opportunities.

Keywords - Industry 4.0; Circular Economy; Integration; Sustainability; Future research.


Referências

Abdella, G.M., Kucukvar, M., Onat, N.C., Al-Yafay, H.M., Bulak, M.E., 2020. Sustainability assessment and modeling based on supervised machine learning techniques: the case for food consumption. J. Cl. Prod. 251, 119661. DOI: https://doi.org/10.1016/j.jclepro.2019.119661

Aberkane, I.J., 2017. From waste to kwaste: on the blue economy in terms of knowledge flow. Spring. Proceed. Compl., 283-290. DOI: https://doi.org/10.1007/978-3-319-45901-1_31

Adeogba, E., Barty, P., O’Dwyer, E., Guo, M., 2019. Waste-to-resource transformation: gradient boosting modeling for organic fraction municipal solid waste projection. ACS Sus. Chem. Eng. 7 (12), 10460-10466. DOI: https://doi.org/10.1021/acssuschemeng.9b00821

Ahmed, S., Huang, B., 2019. Control engineering practice in 25 years: a bibliometric overview. Cont. Eng. Prac. 88 (July),16-20. DOI: https://doi.org/10.1016/j.conengprac.2019.04.004

Allenby, B., 2009. The industrial ecology of emerging technologies complexity and the reconstruction of the world. J. Ind. Ecol. 13 (2), 168-183. DOI: https://doi.org/10.1111/j.1530-9290.2009.00114.x

Babiceanu, R.F.; Seker, R., 2016. Big data and virtualization for manufacturing cyber-physical systems: a survey of the current status and future outlook. Comp. Ind. 81, 128-137. DOI: https://doi.org/10.1016/j.compind.2016.02.004

Bahrin, M.A.K., Othman, M.F., Azli, N.H.N., Talib, M.F, 2016. Industry 4.0: a review on industrial automation and robotic. Sc. Eng. 78 (6-13), 137-143. DOI: https://doi.org/10.11113/jt.v78.9285

Bendul, J.C., Blunck, H., 2019. The design space of production planning and control for industry 4.0. Comp. Ind. 105, 260-272. DOI: https://doi.org/10.1016/j.compind.2018.10.010

Blomsma, F., 2018. Collective ‘action recipes’ in a circular economy – on waste and resource management frameworks and their role in collective change. J. Cl. Prod. 199, 969-982. DOI: https://doi.org/10.1016/j.jclepro.2018.07.145

Blomsma, F., Brennan, G., 2017. The emergence of circular economy: a new framing around prolonging resource productivity. J. Ind. Ecol. 21 (3), 603-614. DOI: https://doi.org/10.1111/jiec.12603

Bressanelli, G., Adrodegari, F., Perona, M., Saccani, N., 2018. Exploring how usage-focused business models enable circular economy through digital technologies. Sustain. 10 (639), 1-21. (a) DOI: https://doi.org/10.3390/su10030639

Bressanelli, G., Adrodegari, F., Perona, M., Saccani, N., 2018. The role of digital technologies to overcome circular economy challenges im PSS business models: an exploratory case study. Procedia CIRP 73, 216-221. (b) DOI: https://doi.org/10.1016/j.procir.2018.03.322

Castelo-Branco, I., Cruz-Jesus, F., Oliveira, T., 2019. Assessing industry 4.0 readiness in manufacturing: evidence for the European Union. Comp. Ind. 107, 22-32. DOI: https://doi.org/10.1016/j.compind.2019.01.007

Chertow, M. R., 2000. Industrial symbiosis: literature and taxonomy. Annu. Rev. Energy Envir. 25, 313-337. DOI: https://doi.org/10.1146/annurev.energy.25.1.313

Chertow, M. R., 2007. “Uncovering” industrial symbiosis. J. Ind. Ecol. 11(1), 11-30. DOI: https://doi.org/10.1162/jiec.2007.1110

Cole, R.J., 2012. Regenerative design and development: current theory and practice. Build. Res. Inf. 40 (1), 1-6. DOI: https://doi.org/10.1080/09613218.2012.617516

Conti, M., Orcioni, S., 2019. Cloud-based sustainable management of electrical and electronic equipment from production to end-of-life. Int. J. Qual. Relia. Man., 36 (1), 98-119. DOI: https://doi.org/10.1108/IJQRM-02-2018-0055

Díaz Lantada, A., Blas Romero, A., Sánchez Isasi, A., Garrido Bellido, D., 2017. Design and performance assessment of innovative eco-efficient support structures for additive manufacturing by photopolymerization. J. Ind. Eco., 21, S179-190. DOI: https://doi.org/10.1111/jiec.12660

Dinis, F.M., Sanhudo, L., Martins, J.P., Ramos, N.M.M., 2020. Improving project communication in the architecture, engineering and construction industry: coupling virtual reality and laser scanning. J. Build. Eng., 30, 101287. DOI: https://doi.org/10.1016/j.jobe.2020.101287

Eglash, R., Robert, L., Bennett, A., Robinson, K.P., Lachney, M., Babbitt, W., 2019. Automation for the artisanal economy: enhancing the economic and environmental sustainability of crafting professions with human-machine collaboration. AI Soci., Article in press. DOI: https://doi.org/10.2139/ssrn.3446265

Ehrenfeld, J., Gertler, N., 1997. Industrial ecology in practice: the evolution of interdependence at Kalundborg. J. Ind. Ecol 1(1), 67-79. DOI: https://doi.org/10.1162/jiec.1997.1.1.67

Ellen MacArthur Foundation, 2015. Delivering the circular economy: a toolkit for policymakers. Available at: https://www.ellenmacarthurfoundation.org/assets/downloads/publications/EllenMacArthurFoundation_PolicymakerToolkit.pdf (accessed 21.05.19).

Ellen MacArthur Foundation, 2017. Infographic: Circular Economy Systems Diagram. Available at: https://www.ellenmacarthurfoundation.org/circular-economy/infographic (accessed 10.05.19).

Ellegaard, O., Wallin, J.A., 2015. The bibliometric analysis of scholarly production: how great is the impact?. Scientometrics 105, 1809-1831. DOI: https://doi.org/10.1007/s11192-015-1645-z

Ellis, L.A., Churruca, K., Clay-Williams, R., Pomare, C., Austin, E.E., Long, J.C., Grodahl, A., Braithwaite, J., 2019. Patterns of resilience: a scoping review and bibliometric analysis of resilient health care. Saf. Scie. 118 (October), 241-257. DOI: https://doi.org/10.1016/j.ssci.2019.04.044

Faroukhi, A.Z., El Alaoui, I., Gahi, Y., Amine, A., 2020. Big data monetization throughout big data value chain comprehensive. J. Big Data 7(1), 3. DOI: https://doi.org/10.1186/s40537-019-0281-5

Francis, J., Bian, L., 2019. Deep learning for distortion prediction in laser-based additive manufacturing using Big Data. Manuf. Let. 20, 10-14. DOI: https://doi.org/10.1016/j.mfglet.2019.02.001

Frank, A.G., Dalenogare, L.S., Ayala, N.F., 2019. Industry 4.0 technologies: implementation patterns in manufacturing companies. Int. J. Prod. Econ. 210, 15-26. DOI: https://doi.org/10.1016/j.ijpe.2019.01.004

Froemelt, A., Buffat, R., Hellweg, S., 2019. Machine learning based modeling of households: a regionalized bottom-up approach to investigate consumption-induced environmental impacts. J. Ind. Ecol., Article in press, 1-14. DOI: https://doi.org/10.1111/jiec.12969

Gabajová, G., Furmannová, B., Medvecká, I., Grznár, P., Krajcovic, M., Furmann, R., 2019. Virtual training application by use of augmented and virtual reality under university technology enhanced learning in Slovakia. Sust., 11 (23), 6677. DOI: https://doi.org/10.3390/su11236677

Garcia-Muinã, F.E., González-Sánchez, R., Ferrari, A.M., Settembre-Blundo, D., 2018. The paradigms of industry 4.0 and circular economy as enabling drivers for the competitiveness of businesses and territories: the case of an Italian ceramic tiles manufacturing company. Soc. Sci. 7 (255), 1-31. DOI: https://doi.org/10.3390/socsci7120255

Garcia-Muinã, F.E., González-Sanchez, R., Ferrari, A.M., Volpi, L., Pini, M., Siligardi, C., Settembre-Blundo., D. 2019. Identifying the equilibrium point between sustainability goals and circular economy practices in an industry 4.0 manufacturing context using eco-design. Soc. Sci. 8 (8), 241. DOI: https://doi.org/10.3390/socsci8080241

Gattullo, M., Scurati, G.W., Fiorentino, M., Uva, A.E., Ferrise, F., Bordegoni, M., 2019. Towards augmented reality manuals for industry 4.0: a methodology. Rob. Comp. Int. Manuf 56, 276-286. DOI: https://doi.org/10.1016/j.rcim.2018.10.001

Gazzola, P., Del Campo, A.G., Onyango, V., 2019. Going green vs going smart for sustainable development: quo vadis?. J. Cl. Produc. 214, 881-892. DOI: https://doi.org/10.1016/j.jclepro.2018.12.234

Geisendorf, S., Pietrulla, F., 2018. The circular economy and circular economic concepts – a literature analysis and redefinition. Thunderbird Intern. Bus. Rev. 60(5), 771-782. DOI: https://doi.org/10.1002/tie.21924

Geissdoerfer, M., Savaget, P., Bocken, N.M.P., Hultink, E.J., 2017. The circular economy – a new sustainability paradigm? J. Cl. Prod. 143, 757-768. DOI: https://doi.org/10.1016/j.jclepro.2016.12.048

Ghadimi, P., Wang, C., Lim, M.K., Heavey, C, 2019. Intelligent sustainable supplier selection using multi-agent technology: theory and application for industry 4.0 supply chains. Comp. Ind. Eng, 127, 588-600. DOI: https://doi.org/10.1016/j.cie.2018.10.050

Ghazal, M., Akmal, M., Yyanna, S., Ghoudi, K., 2016. Smart plugs: perceived usefulness and satisfactions: evidence from United Arab Emirates. Renew. Sust. Ener. Rev., 55, 1248-1259.Ghisellini, P., Cialani, C., Ulgiati, S., 2016. A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. J. Cl. Prod. (114), 11-32. DOI: https://doi.org/10.1016/j.rser.2015.07.096

Ghobakhloo, M., 2018. The future of manufacturing industry: a strategic roadmap toward industry 4.0. J. Manuf. Tech. Manag. 29 (6), 910-936. DOI: https://doi.org/10.1108/JMTM-02-2018-0057

Gobbo Júnior, J.A., Busso, C.M., Gobbo, S.C.O., Carreão, H., 2018. Making the links among environmental protection, process safety, and industry 4.0. Process Saf. Environ. Prot. 117, 372-382. DOI: https://doi.org/10.1016/j.psep.2018.05.017

González-Amarillo, C.A., Cárdenas-García, C.L., Mendoza-Moreno, M.A., 2018. M2M system for efficient water consumption in sanitary services, based on intelligent environment. DYNA, 85 (204), 311-318. DOI: https://doi.org/10.15446/dyna.v85n204.68264

Grey, C.P., Tarascon, J.M., 2017. Sustainability and in situ monitoring in battery development. Nat. Mat. 16, 45-56. DOI: https://doi.org/10.1038/nmat4777

Gu, F., Guo, J., Hall, P., Gu, X., 2019. An integrated architecture DOI: https://doi.org/10.1007/978-3-662-53120-4_6463

for implementing extended producer responsibility in the context of Industry 4.0. Int.

J. Prod. Res., 57(5), 1458-1477.

Hafezalkotob, A., Hafezalkotob, A., Liao, H., Herrera, F., 2019. An overview of MULTIMOORA for multi-criteria decision-making: theory, developments, applications, and challenges. Inf. Fus. 51, 145–177. DOI: https://doi.org/10.1016/j.inffus.2018.12.002

Hermann, M., Pentek, T., Otto, B., 2016. Design principles for Industrie 4.0 scenarios. 2016 49th Hawaii International Conference on Systems Sciences, 3928-3937. DOI: https://doi.org/10.1109/HICSS.2016.488

Hofmann, E., Rusch, M., 2017. Industry 4.0 and the current status as well as future DOI: https://doi.org/10.1016/j.compind.2017.04.002

prospects on logistics. Comp. Ind. 89, 23–34.

Huang, K., Guo, J., Xu, Z., 2009. Recycling of waste printed circuit boards: a review of current technologies and treatment status in China. J. Hazard. Mat. 164, 399-408. DOI: https://doi.org/10.1016/j.jhazmat.2008.08.051

Issamar, F.H.M.K., Roberto, R.L., 2019. New and emerging occupational risks (NER) in industry 4.0: literature review. 2019 7th Int. Eng., Sc. Tech. Conf., 8943671, 394-399.

Ivanov, D., Dolgui, A., Sokolov. B., 2019. The impact of digital

technology and industry 4.0 on the ripple effect and supply chain risk analytics. Int. J. Prod. Res. 57 (3), 829-846. DOI: https://doi.org/10.1080/00207543.2018.1488086

Jabbour, C.J.C., Sousa Jabbour, A.B.L., Sarkis, J., Godinho Filho, M., 2017. Unlocking the circular economy through new business models based on large-scale data: an integrative framework and research agenda. Tech. For. Soc. Change (In Press), 1-7.

Jabbour, C.J.C., Sarkis, J., Sousa Jabbour, A.B.L, Renwick, D.W.S., Singh, S.K, Grebinevych, O., Kruglianskas, I., Godinho Filho, M., 2019. Who is in charge? A review and a research agenda on the ‘human side” of the circular economy. J. Cl. Prod. 222, 793 -801. DOI: https://doi.org/10.1016/j.jclepro.2019.03.038

Jazdi, N., 2014. Cyber physical systems in the context of industry 4.0. 19th International Conference on Automation, Quality and Testing, Robotics, 3732-3735. DOI: https://doi.org/10.1109/AQTR.2014.6857843

Jensen, J.P., Remmen, A., 2017. Enabling circular economy through product stewardship. Proc. Manuf. 8, 377-384. DOI: https://doi.org/10.1016/j.promfg.2017.02.048

Jiang, W., Wen, L., Zhan, J., Jiang, K., 2020. Design optimization of confidentiality-critical cyber physical systems with fault detection. J. Sys. Arch. 107, 101739. DOI: https://doi.org/10.1016/j.sysarc.2020.101739

Kagermann, H., Helbig, J., Hellinger, A., Wahlster, W., 2013. Recommendations for implementing the strategic initiative industrie 4.0: final report of the industrie 4.0 working group. ACATECH – National Academy of Science and Engineerring, 1-97. DOI: https://doi.org/10.3390/sci4030026

Kamble, S.S., Gunasekaran, A., Sharma, R., 2018. Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry. Comp. in Ind. 101, 107-119. DOI: https://doi.org/10.1016/j.compind.2018.06.004

Kamdem J.P., Duarte, A.E., Lima K.R.R., Rocha, J.B.T., Hassan, W., Barros, L.M., Roederd, T., Tsopmo, A., 2019. Research trends in food chemistry: a bibliometric review of its 40 years anniversary (1976–2016). Food Chem. 294, 448-457. DOI: https://doi.org/10.1016/j.foodchem.2019.05.021

Kang, H.S., Lee, J.Y., Choi, S-S., Kim, H., Park, J.H., Son, J.Y., Kim, B.H., Do Noh, S. 2016. Smart manufacturing: past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing - Green Technology 3, 111-128. DOI: https://doi.org/10.1007/s40684-016-0015-5

Kang, L., Du, H.L., Zhang, H., Ma, W.L., 2018. Systematic research on the application of steel slag resources under the background of big data. Comp., 2018, 6703908, 1-12. DOI: https://doi.org/10.1155/2018/6703908

Kirkham, T., Armstrong, D., Djemame, K., Jiang, M., 2014. Risk driven smart home resources management using cloud services. Fut. Gen. Comp. Syst., 38, 13-22. DOI: https://doi.org/10.1016/j.future.2013.08.006

Kopnina, H., 2019. Green-washing or best case practices? Using circular economy and Cradle to Cradle case studies in business education. J. Cl. Prod 219, 613-621. DOI: https://doi.org/10.1016/j.jclepro.2019.02.005

Kuznetsova, E., Zio, E., Farel, R., 2016. A methodological framework for eco-industrial park design and optimization. J. Cl. Prod., 126, 308-324. DOI: https://doi.org/10.1016/j.jclepro.2016.03.025

Langmann, R., Rojas-Pena, L., 2016. PLCs as industry 4.0 components in laboratory applications. Int. J. Onl. Eng. 12 (7), 37-44. DOI: https://doi.org/10.3991/ijoe.v12i07.5828

Lasi, H., Fettke, P., Kemper, H.G, Feld, T., Hoffman, M., 2014. Industrie 4.0. Busin. Inform. Syst. Eng 4, 239-242. DOI: https://doi.org/10.1007/s12599-014-0334-4

Lawal, I.A., Klink, M., Ndungu, P., Moodley, B., 2019. Brief bibliometric analysis of “ionic liquid” applications and its review as a substitute for common adsorbent modifier for the adsorption of organic pollutants. Envir. Res. 175, 34–51. DOI: https://doi.org/10.1016/j.envres.2019.05.005

Lee, J., Bagheri, B., Kao, H., 2015. A cyber-physical systems architecture for industry 4.0-based manufacturing sytems. Manufact. Letters 3, 18-23. DOI: https://doi.org/10.1016/j.mfglet.2014.12.001

Lee, J., Kao, H.A, Yang, S., 2015. Service innovation and smart analytics for industry 4.0 and big data environment. Procedia CIRP 16, 3-8. DOI: https://doi.org/10.1016/j.procir.2014.02.001

Lenzen, M., Geschke, A., Wiedmann, T., Lane, J., Anderson, N., Baynes, T., Boland, J., Daniels, P., Dey, C., Fry, J., Hadjikakou, M., Kenway, S., Malik, A., Moran, D., Murray, J., Nettleton, S., Poruschi, L., Reynolds, C., Rowley, H., Ugon, J., Webb, D., West, J., 2014. Compiling and using input-output frameworks through collaborative virtual laboratories. Sci. Total Envir. 485-486, 241-251. DOI: https://doi.org/10.1016/j.scitotenv.2014.03.062

Lieder, M., Asif, F.M.A., Rashid, A., Mihelic, A., Kotnik, S., 2017. Towards circular economy implementation in manufacturing systems using a multi-method simulation approach to link design and business strategy. Int. J. Adv. Manuf. Technol 93, 1953-1970. DOI: https://doi.org/10.1007/s00170-017-0610-9

Lieder, M., Rashid, A., 2016. Towards circular economy implementation: a comprehensive review in context of manufacturing industry. J. Cl. Prod. 115, 36-51. DOI: https://doi.org/10.1016/j.jclepro.2015.12.042

Lin, K.Y., 2018. User experience-based product design for smart production to empower industry 4.0 in the glass recycling circular economy. Comp. Ind. Eng. 125, 729–738.López-Robles, J.R., Otegi-Olaso, J.R., Porto Gómez, I., Cobo, M.J., 2019. 30 years of intelligence models in management and business: a bibliometric review. Inter. J. Info. Mana. 48, 22–38. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.01.013

Lu, Y., Xu, X., 2019. Cloud-based manufacturing equipment and big data analytics to enable on-demand manufacturing services. Rob. Comp. Int. Manuf. 57, 92-102.Luthra, S., Magla, S.K., 2018. Evaluating challenges to industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Saf. Environ. Prot. 117, 168-179. DOI: https://doi.org/10.1016/j.rcim.2018.11.006

Lyle Center, 2019. History. Available at: https://env.cpp.edu/rs/history-lyle-center (accessed 18.05.19).

Mami, F., Revéret, J-P., Fallaha, S., Margni, M., 2017. Evaluating eco-efficiency of 3D printing in the aeronautic industry. J. Ind. Eco., 21, S37-S48. DOI: https://doi.org/10.1111/jiec.12693

Manavalan, E., Jayakrishna, K., 2019. A review of internet of things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Comp. Ind. Eng. 127, 925–953. DOI: https://doi.org/10.1016/j.cie.2018.11.030

Marques, G., Pitarma, R., 2019. An internet of things approach for environmental quality management and laboratory activity support. CISTI, 8760876. DOI: https://doi.org/10.23919/CISTI.2019.8760876

Martín-Gómez, A., Aguayo-González, F., Luque, A., 2019. A holonic framework for managing the sustainable supply chain in emerging economies with smart connected metabolism. Res., Cons. Recy. 141, 219-232. DOI: https://doi.org/10.1016/j.resconrec.2018.10.035

Massod, T., Egger, J., 2019. Augmented reality in support of industry 4.0 – implementation challenges and success factors. Rob. Comp. Int. Manuf. 58, 181-195. DOI: https://doi.org/10.1016/j.rcim.2019.02.003

Mavi, R., Saen, R.F., Goh, M., 2019. Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: a big data approach. Tech. For. Soc. Ch., 144, 553-562. DOI: https://doi.org/10.1016/j.techfore.2018.01.035

Mirabella, N., Castellani, V., Sala, S., 2014. Current options for the valorization of food manufacturing waste: a review. J. Cl. Prod 65, 28-41. DOI: https://doi.org/10.1016/j.jclepro.2013.10.051

Moeuf, A., Pellerin, R., Lamouri, S., Giraldo, Tamayo, S., Barbaray, R., (2018). The industrial management of SMEs in the era of industry 4.0. Int. J. Prod. Res., 56 (3), 1118-1136. DOI: https://doi.org/10.1080/00207543.2017.1372647

Munodawafa, R.T., Johl, S.K., 2019. Big data analytics capabilities and eco-innovation: a study of energy companies. Sust., 11 (15), 4254. DOI: https://doi.org/10.3390/su11154254

Naderi, M., Ares, E., Peláez, G., Prieto, D., Araújo, M., 2019. Sustainable operations management for industry 4.0 and its social return. IFAC-Papers on line, 52 (13), 457-462. DOI: https://doi.org/10.1016/j.ifacol.2019.11.102

Nascimento, D.L.M., Alencastro, V., Quelhas, O.L.G., Caiado, R.G.G., Garza-Reyes, J.A., Lona, L.R., Tortorella, G., (2019). Exploring industry 4.0 technologies to enable circular economy practices in a manufacturing context: a business model proposal. J. Manuf. Tech. Manag. 30 (3), 607-627. DOI: https://doi.org/10.1108/JMTM-03-2018-0071

Nasir, M.H.A., Genovese, A., Acquaje, A.A., Koh, S.C.L., Yamoah, F., 2017. Comparing linear and circular supply chains: a case study from the construction industry. Int. J. Prod. Econ. 183 (B), 443-457. DOI: https://doi.org/10.1016/j.ijpe.2016.06.008

Okorie, O., Salonitis, K., Charnley, F., Moreno, M., Turner, C., Tiwari, A., 2018. Digitisation and the circular economy: a review of current research and future trends. Energies 11 (3009), 1-31. DOI: https://doi.org/10.3390/en11113009

Pistol, L., Tonis (Bucea-Manea), R., 2017. The “7Ps” & “1G” that rule in the digital world the marketing mix. 11th Int. Conf. Bus. Exc., 11 (1), 759-769. DOI: https://doi.org/10.1515/picbe-2017-0080

Potting, J., Hekkert, M., Worrell, E., Hanemaaijer, A., 2017. Circular economy: measuring innovation in the product chain. PBL Netherlands Envir. Assess. Agency (2544), 1-46.

Póvoa, P., Oehmen, A., Inocêncio, P., Matos, J.S., Frazão, A., 2017. Modelling energy costs for different operational strategies of a large water resource recovery facility. Wat. Sci. Tech., 75 (9), 2139-2148. DOI: https://doi.org/10.2166/wst.2017.098

Rajput, S., Singh, S.P, 2019. Connecting circular economy and industry 4.0. Int. J. Inf. Manag. 49, 98–113. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.03.002

Redeker, G.A., Kessler, G.Z., Kipper, L.M., 2019. Lean information for lean communication: Analysis of concepts, tools, references, and terms. Inter. J. Info. Mana. 47, 31–43. DOI: https://doi.org/10.1016/j.ijinfomgt.2018.12.018

Rojas Luiz, J.V., Jugend, D., Jabbour, C.J.C., Rojas Luiz, O., Bernardi De Souza, F. (2016). Ecodesign field of research throughout the world: mapping the territory by using an evolutionary lens. Scientometrics 109, 241-259 DOI: https://doi.org/10.1007/s11192-016-2043-x

Rose, D.C., Chilvers, J., 2018. Agriculture 4.0: broadening responsible innovation in an era of smart farming. Front. Sust. Food Syst., 2, 87. DOI: https://doi.org/10.3389/fsufs.2018.00087

Ross, S.A., Cheah, L., 2019. Uncertainty quantification in life cycle assessments: exploring distribution choice and greater data granularity to characterize product use. J. Ind. Ecol., 23 (2), 335-346. DOI: https://doi.org/10.1111/jiec.12742

Salah, B., Abidi, M.H., Mian, S.H., Krid, M., Alkhalefah, H., Abdo, A., 2019. Virtual reality-based engineering education to enhance manufacturing sustainability in industry 4.0. Sust. 11 (1477), 2-19. DOI: https://doi.org/10.3390/su11051477

Sahimaa, O. et al (2017). Towards zero climate emissions, zero waste, and one planet living – testing the applicability of three indicators in Finnish cities. Sust. Prod. Consu., 10, 121-132. DOI: https://doi.org/10.1016/j.spc.2017.02.004

Shahrokni, H., Ârman, L., Lazarevic, D., Nilsson, A., Brandt, N., 2015. Implementing smart urban metabolism in the Stockholm Royal Seaport: smart city SRS. J. Ind. Ecol., 19 (5), 917-929. DOI: https://doi.org/10.1111/jiec.12308

Shrouf, F., Ordieres, J., Miragliotta, G., 2014. Smart factories in industry 4.0: a review of the concept and of energy management approached in production based on the internet of things paradigm. IEEE International Conference on Industrial Engineering and Engineering Management, 697-701. DOI: https://doi.org/10.1109/IEEM.2014.7058728

Singh, S.P., Singh, R.K., Gunasekaran. A., Ghadimi, P., 2019. Supply chain management, industry 4.0, and the circular economy. Res., Cons. Recy. 142, 281–282. DOI: https://doi.org/10.1016/j.resconrec.2018.11.027

Song, B., Yeo, Z., Kohls, P., Herrmann, C., 2017. Industrial symbiosis: exploring big-data approach for waste stream discovery. Proc. CIRP 61, 353-358. DOI: https://doi.org/10.1016/j.procir.2016.11.245

Sony, M., 2018. Industry 4.0 and lean management: a proposed DOI: https://doi.org/10.1080/21693277.2018.1540949

integration model and research propositions. Prod. Manuf. Res. 6(1), 416-432.

Sousa Jabbour, A.B.L., Jabbour, C.J.C., Foropona, C., Godinho Filho, M., 2018. When titans meet – can industry 4.0 revolutionise the environmentally sustainable manufacturing wave? The role of critical success factors. Tech. For. Soc. Change 132 (July), 18-25. (a) DOI: https://doi.org/10.1016/j.techfore.2018.01.017

Sousa Jabbour, A.B.L., Jabbour, C.J.C., Godinho Filho, M., Roubaud, D., 2018. Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Ann. Oper. Res. 270, 273-286. (b) DOI: https://doi.org/10.1007/s10479-018-2772-8

Stabel, W.R., 2010. The performance economy. Palgrave Macmilan, Basingstoke, UK.

Stock, T., Seliger, G., 2016. Opportunities of sustainable manufacturing in industry 4.0. Procedia CIRP 40, 536-541. DOI: https://doi.org/10.1016/j.procir.2016.01.129

Strandhagen, J.W., Alfnes, E., Strandhagen, J.O., Vallandingham, L.R., 2017. The fit of industry 4.0 applications in manufacturing logistics: a multiple case study. Adv. Manuf. 5, 344-358. DOI: https://doi.org/10.1007/s40436-017-0200-y

Su, B., Heshmati, A., Geng, Y., Yu, X., 2013. A review of the circular economy in China: moving from rhetoric to implementation. J. Cl. Prod. 42, 215-227. DOI: https://doi.org/10.1016/j.jclepro.2012.11.020

Swain, B., 2017. Recovery and recycling of lithium: a review. Sep. Pur. Tech. 172, 388-403. DOI: https://doi.org/10.1016/j.seppur.2016.08.031

Thurer, M. Pan, Y.H., Qu, T., Luo, H., Li, C.D., Huang, G.Q., 2019. Internet of things (IoT) driven kanban system for reverse logistics: solid waste collection. J. Intel. Manuf., 30 (7), 2621-2630. DOI: https://doi.org/10.1007/s10845-016-1278-y

Timma, L., Blumberga, A., Blumberga, D., 2015. Combined and mixed methods research in environmental engineering: when two is better than one. Ener. Proc., 72, 300-306. DOI: https://doi.org/10.1016/j.egypro.2015.06.043

Tseng, M.L., Tan, R.R., Chiu, A.S.F., Chien, C.F., Kuo, T.C, 2018. Circular economy meets industry 4.0: can big data drive industrial symbiosis? Res., Cons. Recy. 131, 146-147. DOI: https://doi.org/10.1016/j.resconrec.2017.12.028

Tseng, M.L., Chiu, A.S.F., Chien, C.F., Tan, R.R., 2019. Pathways and barriers to circularity in food systems. Res., Cons. Recy. 143, 236-237. DOI: https://doi.org/10.1016/j.resconrec.2019.01.015

Tukker, A., 2015. Product services for a resource-efficient and circular economy – a review. J. Cl. Prod. 97, 76-91. DOI: https://doi.org/10.1016/j.jclepro.2013.11.049

United Nations Environment Programme (UNEP), 2014. Towards a circular economy: program to end waste in Europe.

Van Eck, N.J., Waltman, L., 2010. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84 (2), 523-538. DOI: https://doi.org/10.1007/s11192-009-0146-3

Wahrmann, D., Hildebrandt, A.C., Schuetz, C., Wittmann, R., Rixen, D., 2019. An autonomous and flexible robotic framework for logistics applications. J. Int. Rob. Sys. 93, 419-431. DOI: https://doi.org/10.1007/s10846-017-0746-8

Wakiyama, T., Lenzen, M., Geschke, A., Bamba, R., Nansai, K., 2020. A flexible multiregional input-output database for city-level sustainability footprint analysis in Japan. Res., Cons. Recy., 154, 104588. DOI: https://doi.org/10.1016/j.resconrec.2019.104588

Wang, H., Yang, Y., 2019. Neighbourhood walkability: a review and bibliometric analysis. Cities 93 (October), 43-61. DOI: https://doi.org/10.1016/j.cities.2019.04.015

Wan, J., Tang, S., Shu, Z., Li, D., Wang, S., Imran, M., Vasilakos, A.V., 2016. Software-defined industrial internet of things in the context of industry 4.0. IEE Sens. J. 16 (20), 7373-7380. DOI: https://doi.org/10.1109/JSEN.2016.2565621

Wang, S., Wan, J., Zhang, D., Li, D., Zhang, C., 2016. Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comp. Net. 101, 158-168. DOI: https://doi.org/10.1016/j.comnet.2015.12.017

Wollschlaeger, M., Sauter, T., Jasperneite, J., 2017. The future of industrial communication: automation networks in the era of the internet of things and industry 4.0. IEE Ind. Elect. Mag., 17-27. DOI: https://doi.org/10.1109/MIE.2017.2649104

Xu, M., Cai, H., Liang, S., 2015. Big data and industrial ecology. J. Ind. Ecol., 19 (2), 205-210. DOI: https://doi.org/10.1111/jiec.12241

Yang, S., Raghavendra, A.M. R., Kaminski, J., Pepin, H., 2018. Opportunities for industry 4.0 to support remanufacturing. Appl. Sci. 8 (1177), 2-11. DOI: https://doi.org/10.3390/app8071177

Yazdi, P.G., Azizi, A., Hashemipour, M., 2018. An empirical investigation of the relationship between overall equipment efficiency (OEE) and manufacturing sustainability in industry 4.0 with time study approach. Sust. 10 (3031), 1-28. DOI: https://doi.org/10.3390/su10093031

Yi, L., Glatt, M., Sridhar, P., Payrebrune, K., Linke, B.S., Ravani, B., Aurich, J.C., 2020. An eco-design for additive manufacturing framework based on energy performance assessment. Addit. Manuf., 33, 101120. DOI: https://doi.org/10.1016/j.addma.2020.101120

Yuan, Z., Bi, J., Moriguichi, Y., 2006. The circular economy: a new development strategy in China. J. Ind. Ecol. 10 (1-2), 4-8.Zezulka, F., Marcon, P., 2016. Industry 4.0 – an introduction in the phenomenon. IFAC-Papers on Line 49 (25), 8-12. DOI: https://doi.org/10.1016/j.ifacol.2016.12.002

Zhan, Z.H., Liu, X.F., Gong, Y.J., Zhang, J., Ching, H.S.H, Li, Y., 2015. Cloud Computing resource schediling and survey of its evolutionary approaches. ACM Comp. Sur. 47 (4), 63-63:33. DOI: https://doi.org/10.1145/2788397

Zhang, C., Romagnoli, A., Zhou, L., Kraft, M., 2017. Knowledge management of eco-industrial park for efficient energy utilization through ontology-based approach. App. Ener., 204, 1412-1421. DOI: https://doi.org/10.1016/j.apenergy.2017.03.130

Zhang, Z., Huisingh, D., 2017. Carbon dioxide storage schemes: technology, assessment and deployment. J. Cl. Prod., 142, 1055-1064. DOI: https://doi.org/10.1016/j.jclepro.2016.06.199

Downloads

Publicado

2020-11-24

Como Citar

Agudo, F. L., Gobbo Júnior, J. A., & Oliveira Gobbo, S. C. de. (2020). INDUSTRY 4.0 AND THE CIRCULAR ECONOMY: ARE THESE INTEGRATED OR DISJOINTED CONCEPTS? A RESEARCH AGENDA. Revista Gestão Da Produção Operações E Sistemas, 15(4), 48. https://doi.org/10.15675/gepros.v15i4.2771

Edição

Seção

Artigos