Abstract
The diffusion of the circular economy (CE) paradigm in manufacturing companies, also known as Circular Manufacturing (CM), has been triggered by the intensive exploitation of natural resources and the associated negative environmental impacts generated. According to CM, natural resources consumption should be minimized, and their life cycle should be extended or reintegrated into new life cycles after usage. In this context, the digital transformation of manufacturing companies, exploiting both Industry 4.0 technologies and information systems (IS), may support them not only in their process management but also in embracing CM strategies. To take this digital and circular transformative path, the synergic exploitation of IS for CE adoption is essential. The extant literature presents scattered knowledge about the potential to exploit data collected from IS to implement CM strategies. Therefore, the research objective is to support companies in using IS to implement CM strategies, by integrating into a unique CM-IS framework. First, a systematic literature review was conducted to identify the direct correlation between specific IS and CM strategies, and also the related parameters influencing a good synergy among them. Subsequently, a maturity model has been developed to provide a practical framework to assess the current state of a manufacturing company in adopting IS for CM strategies implementation. The maturity model has also been integrated with a SWOT analysis module to define a roadmap to improve the current state of the company assessed. Last, the maturity model has been applied to an industrial use case showing the benefits from IS exploitation for CM purposes.
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References
Kirchherr, J., Reike, D., Hekkert, M.: Conceptualizing the circular economy: an analysis of 114 definitions. Resour. Conserv. Recycl. 127(September), 221–232 (2017). https://doi.org/10.1016/j.resconrec.2017.09.005
Garza-Reyes, J.A., Kumar, V., Batista, L., Cherrafi, A., Rocha-Lona, L.: From linear to circular manufacturing business models. J. Manuf. Technol. Manag. 30(3), 554–560 (2019). https://doi.org/10.1108/JMTM-04-2019-356
United Nations: The sustainable development goals report 2020 (2020). https://doi.org/10.29171/azu_acku_pamphlet_k3240_s878_2016
United Nations: World population prospects 2019 (2019)
Dwivedi, A., Sassanelli, C., Agrawal, D., Moktadir, M.A., D’Adamo, I.: Drivers to mitigate climate change in context of manufacturing industry: an emerging economy study. Bus Strat. Environ. (2023)https://doi.org/10.1002/bse.3376
Kumar, V., Sezersan, I., Garza-Reyes, J.A., Gonzalez, E.D.R.S., AL-Shboul, M.A.: Circular economy in the manufacturing sector: benefits, opportunities and barriers. Manage. Decis. 57(4), 1067–1086 (2019). https://doi.org/10.1108/MD-09-2018-1070
Bjørnbet, M.M., Skaar, C., Fet, A.M., Schulte, K.Ø.: Circular economy in manufacturing companies: a review of case study literature. J. Clean. Prod. 294, 126268 (2021). https://doi.org/10.1016/j.jclepro.2021.126268
Acerbi, F., Taisch, M.: A literature review on circular economy adoption in the manufacturing sector. J. Clean. Prod. 123086 (2020). https://doi.org/10.1016/j.jclepro.2020.123086
Prakash, G., Ambedkar, K.: Digitalization of manufacturing for implanting value, configuring circularity and achieving sustainability. J. Adv. Manage. Res. (2022).https://doi.org/10.1108/JAMR-01-2022-0010
Tao, F., Qi, Q., Liu, A., Kusiak, A.: Data-driven smart manufacturing. J. Manuf. Syst. 48, 157–169 (2018). https://doi.org/10.1016/j.jmsy.2018.01.006
Acerbi, F., Sassanelli, C., Terzi, S., Taisch, M.: Towards a data-based circular economy: exploring opportunities from digital knowledge management. In: Lecture Notes in Networks and Systems, Springer, Nov. 2020, pp. 331–339. https://doi.org/10.1007/978-3-030-41429-0_33
Zins, C.: Conceptual approaches for defining data, information, and knowledge. J. Am. Soc. Inform. Sci. Technol. 58(4), 479–493 (2007). https://doi.org/10.1002/asi.20508
Sassanelli, C., Taisch, M., Terzi, S.: History and future of manufacturing. In: Advances in Digital Manufacturing Systems, Springer Nature, Singapore, 2023, pp. 13–36 (2023) https://doi.org/10.1007/978-981-19-7071-9_2
Michael Porter, E., Heppelmann, J.E.: How Smart, Connected Products Are Transforming Companies (2015)
Nascimento, D.L.M., et al.: Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context. J. Manuf. Technol. Manag. 30(3), 607–627 (2019). https://doi.org/10.1108/JMTM-03-2018-0071
Asif, F.M.A., et al.: A practical ICT framework for transition to circular manufacturing systems. Procedia CIRP 72, 598–602 (2018). https://doi.org/10.1016/j.procir.2018.03.311
Polenghi, A., Acerbi, F., Roda, I., Macchi, M., Taisch, M.: Enterprise information systems interoperability for asset lifecycle management to enhance circular manufacturing. IFAC-PapersOnLine 54(1), 361–366 (2021). https://doi.org/10.1016/j.ifacol.2021.08.162
Acerbi, F., Taisch, M.: Information flows supporting circular economy adoption in the manufacturing sector. In: R.D. Lalic B., Majstorovic V., Marjanovic U., von Cieminski G. (ed.) IFIP International Conference on Advances in Production Management Systems 2020, , Ed., Springer, Cham, 2020, pp. 703–710https://doi.org/10.1007/978-3-030-57997-5_81
Acerbi, F., Taisch, M.: Analysis of information systems as empowering tools in circular manufacturing. In: Proceedings of the Summer School Francesco Turco, pp. 1–7 (2021)
De Bruin, T., Freeze, R., Kulkarni, U., Rosemann, M.: Understanding the main phases of developing a maturity assessment model. In: ACIS 2005 Proceedings, Dec. 2005, Accessed: Dec. 04, 2020. [Online]. Available: https://aisel.aisnet.org/acis2005/109
Acerbi, F., Järnefelt, V., Martins, J.T., Saari, L., Valkokari, K., Taisch, M.: Developing a qualitative maturity scale for circularity in manufacturing, vol. 632 IFIP. Springer Science and Business Media Deutschland GmbH, Department of Management, Economics and Industrial Engineering, Politecnico Di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy, pp. 377–385 (2021). https://doi.org/10.1007/978-3-030-85906-0_42
ISO/IEC: ISO/IEC 15504 Information technology – Process assessment (2004)
Eisner, E., et al.: Self-assessment framework for corporate environmental sustainability in the era of digitalization. Sustainability (Switzerland) 14(4) (2022). https://doi.org/10.3390/su14042293
Sarsby, A.: SWOT Analysis: a guide for SWOT for business studies students. leadership-library (2016)
Church, R.L.: Geographical information systems and location science. Comput. Oper. Res. 29(6), 541–562 (2002). https://doi.org/10.1016/S0305-0548(99)00104-5
Sotiropoulou, K.F., Vavatsikos, A.P.: Onshore wind farms GIS-Assisted suitability analysis using PROMETHEE II. Energy Policy 158, 112531 (2021). https://doi.org/10.1016/j.enpol.2021.112531
Leanza, P.M., Valenti, F., D’Urso, P.R., Arcidiacono, C.: A combined ‘MaxEnt’ and ‘GIS’ -based methodology to estimate cactus pear biomass distribution: application to an area of southern Italy. Biofuels, Bioprod. Biorefin. 16(1), 54–67 (2022). https://doi.org/10.1002/bbb.2304
Senán-Salinas, J., Blanco, A., García-Pacheco, R., Landaburu-Aguirre, J., García-Calvo, E.: Prospective life cycle assessment and economic analysis of direct recycling of end-of-life reverse osmosis membranes based on geographic information systems. J. Clean. Prod. 282, 124400 (2021). https://doi.org/10.1016/j.jclepro.2020.124400
Valenti, F., Toscano, A.: A GIS-based model to assess the potential of wastewater treatment plants for enhancing bioenergy production within the context of the water-energy nexus. Energies (Basel) 14(10), 2838 (2021). https://doi.org/10.3390/en14102838
Yu, Y., Yazan, D.M., Bhochhibhoya, S., Volker, L.: Towards Circular Economy through Industrial Symbiosis in the Dutch construction industry: a case of recycled concrete aggregates. J. Clean. Prod. 293, 126083 (2021). https://doi.org/10.1016/j.jclepro.2021.126083
Sakao, T., Liu, Y., Gustafsson, R., Thörnblad, G.: A method for lifecycle design of product/service systems using PLM software, pp. 710–718 (2017). https://doi.org/10.1007/978-3-319-72905-3_63
Villamil Velasquez, C., Salehi, N., Hallstedt, S.I.: How can information and communications technology support the link between circular economy and product life cycle management? – a review. In: Proceedings of the Design Society: DESIGN Conference, vol. 1, pp. 2187–2196, May 2020. https://doi.org/10.1017/dsd.2020.299
Cholewa, M., Minh, L.H.B.: PLM solutions in the process of supporting the implementation and maintenance of the circular economy concept in manufacturing companies. Sustainability 13(19), 10589 (2021). https://doi.org/10.3390/su131910589
Azhar, S., Michael, H., Blake, S.: Building information modeling (bim) : benefits , risks and challenges. Comp. Sci. (2008)
Aldebei, F., Dombi, M.: Mining the built environment: telling the story of urban mining. Buildings 11(9), 388 (2021). https://doi.org/10.3390/buildings11090388
McGinley, T.: Towards an agile circular economy for the building industry. In: Unmaking Waste in Production and Consumption: Towards the Circular Economy, Emerald Publishing Limited, pp. 281–294 (2018). https://doi.org/10.1108/978-1-78714-619-820181022
Lin, K.-Y.: User experience-based product design for smart production to empower Industry 4.0 in the glass recycling circular economy. Comput. Ind. Eng. 125, 729–738 (2018). https://doi.org/10.1016/j.cie.2018.06.023
Pecorari, P.M., Lima, C.R.C.: Correlation of customer experience with the acceptance of product-service systems and circular economy. J. Clean. Prod. 281, 125275 (2021). https://doi.org/10.1016/j.jclepro.2020.125275
Cavicchi, C., Vagnoni, E.: The role of performance measurement in assessing the contribution of circular economy to the sustainability of a wine value chain. Br. Food J. 124(5), 1551–1568 (2022). https://doi.org/10.1108/BFJ-08-2021-0920
Sitcharangsie, S., Ijomah, W., Wong, T.C.: Decision makings in key remanufacturing activities to optimise remanufacturing outcomes: a review. J. Clean. Prod. 232, 1465–1481 (2019). https://doi.org/10.1016/J.JCLEPRO.2019.05.204
Urciuoli, L., Muerza, V.: An integrated framework for evaluating costs of IBLCs’ supply chains. In: 7th International Conference on Information Systems, Logistics and Supply Chain, ILS 2018, At Lyon, France (2018)
Proença, D., Borbinha, J.: Maturity models for information systems - a state of the art. Procedia Comp. Sci. 1042–1049 (2016). https://doi.org/10.1016/j.procs.2016.09.279
Acerbi, F., Assiani, S., Taisch, M.: A methodology to assess the skills for an Industry 4.0 factory. In: IFIP International Conference on Advances in Production Management Systems, Springer International Publishing, pp. 520–527 (2019). https://doi.org/10.1007/978-3-030-29996-5
Acknowledgements
This study was carried out within the MICS (Made in Italy – Circular and Sustainable) Extended Partnership and received funding from the European Union Next-Generation EU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) – MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.3 – D.D. 1551.11-10-2022, PE00000004). This manuscript reflects only the authors’ views and opinions, neither the European Union nor the European Commission can be considered responsible for them.
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Acerbi, F., Sassanelli, C., Despeisse, M., Taisch, M. (2023). Exploiting Information Systems for Circular Manufacturing Transition: A Guiding Tool. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 692. Springer, Cham. https://doi.org/10.1007/978-3-031-43688-8_10
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