Abstract
The manufacturing sector is experiencing a profound transformation as reflected in the Industry 4.0 movement, combined with the growing societal concerns for sustainability. This trend has led to the notion of sustainable manufacturing. On the other hand, the increasing interconnectivity among organisations, people, and physical systems, supported by recent developments in communication technologies, points to the important role that collaborative networks have in the ongoing digital transformation processes. As such, this paper analyses the synergies between sustainable manufacturing and collaborative networks. More specifically, the goal is to analyse how the responsibility for the various facets of sustainability can be distributed among the multiple entities involved in manufacturing. This study is based on both literature survey and our experience in various research projects in the area and is organised according to the typical six dimensions of Industry 4.0. The work is complemented with a brief summary of proposed indicators to measure sustainability under this networked manufacturing perspective.
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References
United Nations. Transforming our world: the 2030 agenda for sustainable development department of economic and social affairs (2015). https://sdgs.un.org/2030agenda. Accessed 6 Apr 2021
OCDE: The OECD sustainable manufacturing toolkit (2021). https://www.oecd.org/innovation/green/toolkit/48704993.pdf. Accessed 6 Apr 2021
Camarinha-Matos, L.M., Afsarmanesh, H., Boucher, X.: The role of collaborative networks in sustainability. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds.) PRO-VE 2010. IAICT, vol. 336, pp. 1–16. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15961-9_1
Camarinha-Matos, L.M., Fornasiero, R., Afsarmanesh, H.: Collaborative networks as a core enabler of Industry 4.0. In: Camarinha-Matos, L.M., Afsarmanesh, H., Fornasiero, R. (eds.) PRO-VE 2017. IAICT, vol. 506, pp. 3–17. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65151-4_1
Camarinha-Matos, L.M., Fornasiero, R., Ramezani, J., Ferrada, F.: Collaborative networks: a pillar of digital transformation. Appl. Sci. 9(24), 5431 (2019). https://doi.org/10.3390/app9245431
Gonçalves Machado, C., Winroth, M.P., Hans Dener Ribeiro da Silva, E.: Sustainable manufacturing in Industry 4.0: an emerging research agenda. Int. J. Prod. Res. 58(5), 1462–1484 (2020)https://doi.org/10.1080/00207543.2019.1652777
EGC (2018). https://ec.europa.eu/environment/europeangreencapital/wp-content/uploads/2018/05/Industrial_Symbiosis.pdf. Accessed 2 Apr 2021
Baldassarre, B., Schepers, M., Bocken, N., Cuppen, E., Korevaar, G., Calabretta, G.: Industrial symbiosis: towards a design process for eco-industrial clusters by integrating circular economy and industrial ecology perspectives. J. Clean. Prod. 216, 446–460 (2019). https://doi.org/10.1016/j.jclepro.2019.01.091
Pomponi, F., Moncaster, A.: Circular economy for the built environment: a research framework. J. Clean. Prod. 143, 710–718 (2017). https://doi.org/10.1016/j.jclepro.2016.12.055
Azevedo, S., Godina, R., Matias, J.: Proposal of a sustainable circular index for manufacturing companies. Resources 6(4), 63 (2017). https://doi.org/10.3390/resources6040063
Enyoghasi, C., Badurdeen, F.: Industry 4.0 for sustainable manufacturing: opportunities at the product, process, and system levels. Resour. Conserv. Recycl. 166, 105362 (2021). https://doi.org/10.1016/j.resconrec.2020.105362
Camarinha-Matos, L.M., Afsarmanesh, H., Galeano, N., Molina, A.: Collaborative networked organisations - concepts and practice in manufacturing enterprises. Comput. Ind. Eng. 57(1), 46–60 (2009). https://doi.org/10.1016/j.cie.2008.11.024
Santos, L.M.A.L.D., et al.: Industry 4.0 collaborative networks for industrial performance. J. Manuf. Technol. Manage. 32(2), 245–265 (2020). https://doi.org/10.1108/JMTM-04-2020-0156
Torn, I.A.R., Vaneker, T.H.J.: Mass personalization with Industry 4.0 by SMEs: a concept for collaborative networks. Procedia Manuf. 28, 135–141 (2019). https://doi.org/10.1016/j.promfg.2018.12.022
Adamson, G., Wang, L., Moore, P.: Feature-based control and information framework for adaptive and distributed manufacturing in cyber physical systems. J. Manuf. Syst. 43, 305–315 (Apr 2017). https://doi.org/10.1016/j.jmsy.2016.12.003
Li, K., Zhou, T., Liu, B.-H., Li, H.: A multi-agent system for sharing distributed manufacturing resources. Expert Syst. Appl. 99, 32–43 (2018). https://doi.org/10.1016/j.eswa.2018.01.027
Lv, Q., Zhang, R., Sun, X., Yuqian, L., Bao, J.: A digital twin-driven human-robot collaborative assembly approach in the wake of covid-19. J. Manuf. Syst. (Feb 2021). https://doi.org/10.1016/j.jmsy.2021.02.011
Gualtieri, L., Palomba, I., Merati, F.A., Rauch, E., Vidoni, R.: Design of Human-centered collaborative assembly workstations for the improvement of operators’ physical ergonomics and production efficiency: a case study. Sustainability 12(9), 3606 (2020)
Li, P., Jiang, P.: Enhanced agents in shared factory: enabling high-efficiency self-organisation and sustainability of the shared manufacturing resources. J. Clean. Prod. 292, 126020 (2021). https://doi.org/10.1016/j.jclepro.2021.126020
Ansari, F., Hold, P., Khobreh, M.: A knowledge-based approach for representing jobholder profile toward optimal human–machine collaboration in cyber physical production systems. CIRP J. Manuf. Sci. Technol. 28, 87–106 (2020). https://doi.org/10.1016/j.cirpj.2019.11.005
Renteria, A., Alvarez-de-los-Mozos, E.: Human-robot collaboration as a new paradigm in circular economy for WEEE management. Procedia Manuf. 38, 375–382 (2019). https://doi.org/10.1016/j.promfg.2020.01.048
Poschmann, H., Brüggemann, H., Goldmann, D.: Fostering end-of-life utilization by information-driven robotic disassembly. Procedia CIRP 98, 282–287 (2021). https://doi.org/10.1016/j.procir.2021.01.104
Upadhyay, A., Mukhuty, S., Kumar, V., Kazancoglu, Y.: Blockchain technology and the circular economy: Implications for sustainability and social responsibility. J. Clean. Prod. 293, 126130 (2021)
Wang, G., Zhang, G., Guo, X., Zhang, Y.: Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing. J. Manuf. Syst. 59, 165–179 (2021). https://doi.org/10.1016/j.jmsy.2021.02.008
Kang, K., Zhong, R.Y., Su Xiu, X., Tan, B.Q., Wang, L., Peng, T.: Auction-based cloud service allocation and sharing for logistics product service system. J. Clean. Prod. 278, 123881 (2021). https://doi.org/10.1016/j.jclepro.2020.123881
Wang, Y., et al.: Collaborative logistics pickup and delivery problem with eco-packages based on time–space network. Expert Syst. Appl. 170, 114561 (2021). https://doi.org/10.1016/j.eswa.2021.114561
Grekova, K., Calantone, R.J., Bremmers, H.J., Trienekens, J.H., Omta, S.W.F.: How environmental collaboration with suppliers and customers influences firm performance: evidence from dutch food and beverage processors. J. Clean. Prod. 112, 1861–1871 (2016). https://doi.org/10.1016/j.jclepro.2015.03.022
Lintukangas, K., Kähkönen, A.-K., Ritala, P.: Supply risks as drivers of green supply management adoption. J. Clean. Prod. 112, 1901–1909 (2016). https://doi.org/10.1016/j.jclepro.2014.10.089
Wang, J., Ran, B.: Sustainable collaborative governance in supply chain. Sustainability 10(2), 171 (2018). https://doi.org/10.3390/su10010171
Glatt, M., Kölsch, P., Siedler, C., Langlotz, P., Ehmsen, S., Aurich, J.C.: Edge-based digital twin to trace and ensure sustainability in cross-company production networks. Procedia CIRP 98, 276–281 (2021). https://doi.org/10.1016/j.procir.2021.01.103
Chen, P.-C., Liu, K.-H.: Development of an interactive industrial symbiosis query system with structured industrial waste database in taiwan. J. Clean. Prod. 297, 126673 (2021). https://doi.org/10.1016/j.jclepro.2021.126673
Sarkis, J., Dhavale, D.G.: Supplier selection for sustainable operations: a triple-bottom-line approach using a bayesian framework. Int. J. Prod. Econ. 166, 177–191 (2015). https://doi.org/10.1016/j.ijpe.2014.11.007
Trapp, A.C., Sarkis, J.: Identifying robust portfolios of suppliers: a sustainability selection and development perspective. J. Clean. Prod. 112, 2088–2100 (2016). https://doi.org/10.1016/j.jclepro.2014.09.062
Chong, W., Barnes, D.: An integrated model for green partner selection and supply chain construction. J. Clean. Prod. 112, 2114–2132 (2016). https://doi.org/10.1016/j.jclepro.2015.02.023
Tao, F., et al.: Digital twin-driven product design framework. Int. J. Prod. Res. 57(12), 3935–3953 (2019). https://doi.org/10.1080/00207543.2018.1443229
Turner, C., et al.: Sustainable production in a circular economy: A business model for re-distributed manufacturing. Sustainability 11(16), 4291 (2019). https://doi.org/10.3390/su11164291
Rayna, T., Striukova, L., Darlington, J.: Co-creation and user innovation: the role of online 3D printing platforms. J. Eng. Tech. Manage. 37, 90–102 (2015). https://doi.org/10.1016/j.jengtecman.2015.07.002
Cerdas, F., Juraschek, M., Thiede, S., Herrmann, C.: Life cycle assessment of 3D printed products in a distributed manufacturing system. J. Ind. Ecol. 21(S1), S80–S93 (2017). https://doi.org/10.1111/jiec.12618
Zheng, P., Lin, T.-J., Chen, C.-H., Xun, X.: A systematic design approach for service innovation of smart product-service systems. J. Clean. Prod. 201, 657–667 (Nov 2018). https://doi.org/10.1016/j.jclepro.2018.08.101
Yin, D., Ming, X., Zhang, X.: Sustainable and smart product innovation ecosystem: an integrative status review and future perspectives. J. Clean. Prod. 274, 123005 (2020). https://doi.org/10.1016/j.jclepro.2020.123005
Verhagen, W.J.C., de Vrught, B., Schut, J., Curran, R.: A method for identification of automation potential through modelling of engineering processes and quantification of information waste. Adv. Eng. Inform. 29(3), 307–321 (2015). https://doi.org/10.1016/j.aei.2015.03.003
Maleki, E., et al.: Ontology-based framework enabling smart product-service systems: application of sensing systems for machine health monitoring. IEEE Internet Things J. 5(6), 4496–4505 (2018). https://doi.org/10.1109/JIOT.2018.2831279
Inés Cabot, M., Luque, A., De Las Heras, A., Aguayo,F.: Aspects of sustainability and design engineering for the production of interconnected smart food packaging. PloS ONE 14(5), e0216555 (2019)https://doi.org/10.1371/journal.pone.0216555
Alcayaga, A., Hansen, E.G.: Smart products as enabler for circular business models: the case of B2B textile washing services. In: 3rd PLATE 2019 Conference, Berlin, Germany, pp. 18–20 (2019)
Gao, N., Li, Y., Mai, Y., Xu, H.: Optimisation of multiple products transportation under the background of industrial symbiosis network. In: 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1281–1285 (2020). https://doi.org/10.1109/IEEM45057.2020.9309810
Ogunsakin, R., Marin, C.A., Mehandjiev, N.: Towards engineering manufacturing systems for mass personalisation: a stigmergic approach. Int. J. Comput. Integr. Manuf. 34(4), 341–369 (2021). https://doi.org/10.1080/0951192X.2020.1858508
Budinich, V., Manno Reott, K., Schmidt, S.: Hybrid value chains: social innovations and the development of the small farmer irrigation market in Mexico. SSRN 981223 (2007)
Doherty, B., Kittipanya-Ngam, P.: The role of social enterprise hybrid business models in inclusive value chain development. Sustainability 13(2), 499 (2021)
Gupta, H., Lawal, J.N., Orji, I.J., Kusi-Sarpong, S.: Closing the gap: the role of distributed manufacturing systems for overcoming the barriers to manufacturing sustainability. IEEE Trans. Eng. Manage. 1–20 (2021) https://doi.org/10.1109/TEM.2021.3059231
Svensson, G., Padin, C., Eriksson, D.: Glocal business sustainability - performance beyond zero! Int. J. Procurement Manage. 9(1), 15–26 (Jan 2016). https://doi.org/10.1504/IJPM.2016.073385
Angione, G., Cristalli, C., Barbosa, J., Leitão, P.: Integration challenges for the deployment of a multi-stage zero-defect manufacturing architecture. In: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), vol. 1, pp. 1615–1620 (2019). https://doi.org/10.1109/INDIN41052.2019.8972259
Huang, A., Badurdeen, F.: Metrics-based approach to evaluate sustainable manufacturing performance at the production line and plant levels. J. Clean. Prod. 192, 462–476 (Aug 2018). https://doi.org/10.1016/j.jclepro.2018.04.234
Zhang, H., Veltri, A., Calvo-Amodio, J., Haapala, K.R.: Making the business case for sustainable manufacturing in small and medium-sized manufacturing enterprises: a systems decision making approach. J. Clean. Prod. 287, 125038 (2021). https://doi.org/10.1016/j.jclepro.2020.125038
Hao, Y., Helo, P., Shamsuzzoha, A.: Virtual factory system design and implementation: integrated sustainable manufacturing. Int. J. Syst. Sci. Oper. Logistics 5(2), 116–132 (2018). https://doi.org/10.1080/23302674.2016.1242819
Koren, Y., Gu, X., Badurdeen, F., Jawahir, I.S.: Sustainable living factories for next generation manufacturing. Procedia Manuf. 21, 26–36 (2018)https://doi.org/10.1016/j.promfg.2018.02.091
Salvado, M., Azevedo, S., Matias, J., Ferreira, L.: Proposal of a sustainability index for the automotive industry. Sustainability 7(2), 2113–2144 (2015). https://doi.org/10.3390/su7022113
Feng, S.C., Joung, C.-B., Li, G.: Development overview of sustainable manufacturing metrics. In: Proceedings of the 17th CIRP International Conference on Life Cycle Engineering, vol. 6, p. l2. Citeseer (2010)
Chaim, O., Muschard, B., Cazarini, E., Rozenfeld, H.: Insertion of sustainability performance indicators in an Industry 4.0 virtual learning environment. Procedia Manuf. 21, 446–453 (2018). https://doi.org/10.1016/j.promfg.2018.02.143
Luís, M.D., Ferreira, F., Silva, C., Azevedo, S.G.: An environmental balanced scorecard for supply chain performance measurement (env_bsc_4_scpm). Benchmarking Int. J. 23(6), 1398–1422 (2016). https://doi.org/10.1108/BIJ-08-2013-0087
Gupta, H., Kumar, A., Wasan, P.: Industry 4.0, cleaner production and circular economy: an integrative framework for evaluating ethical and sustainable business performance of manufacturing organizations. J. Cleaner Prod. 295, 126253 (2021). https://doi.org/10.1016/j.jclepro.2021.126253
Abubakr, M., Abbas, A.T., Tomaz, I., Soliman, M.S., Luqman, M., Hegab, H.: Sustainable and smart manufacturing: an integrated approach. Sustainability 12(6), 2280 (2020). https://doi.org/10.3390/su12062280
Song, Z., Moon, Y.: Assessing sustainability benefits of cybermanufacturing systems. Int. J. Adv. Manuf. Technol. 90(5–8), 1365–1382 (2016). https://doi.org/10.1007/s00170-016-9428-0
Matt, D.T., Orzes, G., Rauch, E., Dallasega, P.: Urban production – a socially sustainable factory concept to overcome shortcomings of qualified workers in smart smes. Comput. Ind. Eng. 139, 105384 (2020). https://doi.org/10.1016/j.cie.2018.08.035
Botti, A., Grimaldi, M., Vesci, M.: Customer value co-creation in a service-dominant logic perspective: some steps toward the development of a measurement scale. In: Barile, S., Pellicano, M., Polese, F. (eds.) Social Dynamics in a Systems Perspective. NEW, pp. 137–157. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-61967-5_8
Lee, A.R., Kim, K.K.: Customer benefits and value co-creation activities in corporate social networking services. Behav. Inf. Technol. 37(7), 675–692 (2018). https://doi.org/10.1080/0144929X.2018.1474252
Dincer, I., Acar, C.: Smart energy systems for a sustainable future. Appl. Energy 194, 225–235 (May 2017). https://doi.org/10.1016/j.apenergy.2016.12.058
Hao, Z., Liu, C., Goh, M.: Determining the effects of lean production and servitisation of manufacturing on sustainable performance. Sustain. Prod. Consump. 25, 374–389 (2021). https://doi.org/10.1016/j.spc.2020.11.018
Spaltini, M., Poletti, A., Acerbi, F., Taisch, M.: A quantitative framework for industry 4.0 enabled circular economy. Procedia CIRP 98, 115–120 (2021). https://doi.org/10.1016/j.procir.2021.01.015
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This work was funded in part by Fundação para a Ciência e Tecnologia through the program UIDB/00066/2020 and Center of Technology and Systems (CTS).
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Camarinha-Matos, L.M., Rocha, A.D., Graça, P. (2021). Brief Overview of Collaborative Approaches in Sustainable Manufacturing. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds) Smart and Sustainable Collaborative Networks 4.0. PRO-VE 2021. IFIP Advances in Information and Communication Technology, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-030-85969-5_1
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