Abstract
Industrial sustainability is attracting more and more attention in recent years. But sustainability data can be complex, hard to collect, and difficult to explain and use. We draw on visualisation research to improve the utility of sustainability-related information, which we categorise as normally being “invisible”. Better visualisation will facilitate practitioners to understand sustainability performance and eventually encourage better decisions to improve the sustainability performance of manufacturing industry. This research conducts a literature review through keywords searching. After filtering 319 results, we identified 28 papers as relevant ones and thematic analysis of the identified papers was conducted to understand their contents. The results of the literature review show that Life Cycle Assessment (LCA), Sustainable Value Stream Mapping (Sus-VSM), Sankey diagram, etc., appear from the identified papers as visualisation tools or methods. We revealed two levels of visualisation on sustainability-related information, they are, assessment of sustainability and presentation of data, while the second level attracts less attention. Although some papers suggested that visualisation facilitates decision-making for improving sustainability performance, few studies paid attention to the effects of the visualisation. In the last, we also suggest dynamic visualisation as one of the potential developing directions for the visualisation of sustainability-related information, while the utility of creating such a dynamic system needs to be carefully analysed in advance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
IPCC: AR5 Climate Change 2014: Mitigation of Climate Change, vol. 10, p. 16. Cambridge University Press, New York (2014)
IEA: IEA – International Energy Agency, IEA (2019). https://www.iea.org. Accessed 30 Aug 2020
Hines, P., Rich, N.: The seven value stream mapping tools. Int. J. Op. Prod. Manag. 17(1), 46–64 (1997). https://doi.org/10.1108/01443579710157989
Hornborg, S., Nilsson, P., Valentinsson, D., Ziegler, F.: Integrated environmental assessment of fisheries management: Swedish Nephrops trawl fisheries evaluated using a life cycle approach. Mar. Policy 36(6), 1193–1201 (2012). https://doi.org/10.1016/j.marpol.2012.02.017
Ghannadzadeh, A., Sadeqzadeh, M.: Evaluation of an alternative chlorine production process for energy saving toward sustainability. Environ. Prog. Sustainable Energy 35(5), 1512–1520 (2016). https://doi.org/10.1002/ep.12374
Ghannadzadeh, A., Sadeqzadeh, M.: Cleaner production of purified terephthalic and isophthalic acids through exergy analysis. Int. J. Exergy 31(4), 303–329 (2020). https://doi.org/10.1504/IJEX.2020.107189
Rönnlund, I., et al.: Eco-efficiency indicator framework implemented in the metallurgical industry: part 1—a comprehensive view and benchmark. Int. J. Life Cycle Assess. 21(10), 1473–1500 (2016). https://doi.org/10.1007/s11367-016-1122-9
Rönnlund, I., et al.: Eco-efficiency indicator framework implemented in the metallurgical industry: part 2—a case study from the copper industry. Int. J. Life Cycle Assess. 21(12), 1719–1748 (2016). https://doi.org/10.1007/s11367-016-1123-8
Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(2), 77–101 (2006). https://doi.org/10.1191/1478088706qp063oa
Vaismoradi, M., Turunen, H., Bondas, T.: Content analysis and thematic analysis: implications for conducting a qualitative descriptive study: qualitative descriptive study. Nurs. Health Sci. 15(3), 398–405 (2013). https://doi.org/10.1111/nhs.12048
Sharma, R.K., et al.: Sustainability in manufacturing processes: finding the environmental impacts of friction stir processing of pure magnesium. CIRP J. Manuf. Sci. Technol. 30, 25–35 (2020). https://doi.org/10.1016/j.cirpj.2020.03.007
Cai, W., Lai, K.-H.: Sustainability assessment of mechanical manufacturing systems in the industrial sector. Renewable and Sustainable Energy Rev. 135, 110169 (2021). https://doi.org/10.1016/j.rser.2020.110169
Lavalle, A., Teruel, M.A., Maté, A., Trujillo, J.: Fostering sustainability through visualization techniques for real-time IoT data: a case study based on gas turbines for electricity production. Sensors (Switzerland) 20(16), 1–19 (2020). https://doi.org/10.3390/s20164556
Brown, A., Amundson, J., Badurdeen, F.: Sustainable value stream mapping (Sus-VSM) in different manufacturing system configurations: application case studies. J. Clean. Prod. 85, 164–179 (2014). https://doi.org/10.1016/j.jclepro.2014.05.101
Chen, P.-C., Liu, K.-H., Ma, H.-W.: Resource and waste-stream modeling and visualization as decision support tools for sustainable materials management. J. Clean. Prod. 150, 16–25 (2017). https://doi.org/10.1016/j.jclepro.2017.02.173
Barletta, I., Larborn, J., Mani, M., Johannson, B.: Towards an assessment methodology to support decision making for sustainable electronic waste management systems: automatic sorting technology. Sustainability (Switzerland) 8(1), 1–20 (2016). https://doi.org/10.3390/su8010084
Besseau, R., Sacchi, R., Blanc, I., Pérez-López, P.: Past, present and future environmental footprint of the Danish wind turbine fleet with LCA_WIND_DK, an online interactive platform. Renew. Sustain. Energy Rev. 108, 274–288 (2019). https://doi.org/10.1016/j.rser.2019.03.030
Katzeff, C., Broms, L., Jönsson, L., Westholm, U., Räsänen, M.: Exploring sustainable practices in workplace settings through visualizing electricity consumption. ACM Trans. Comput. Hum. Interaction 20(5), 1–22 (2013). https://doi.org/10.1145/2501526
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Geng, D., Evans, S., Kishita, Y. (2022). Visualising Sustainability-Related Information: A Review of Visualisation for Sustainability in Manufacturing Industry. In: Scholz, S.G., Howlett, R.J., Setchi, R. (eds) Sustainable Design and Manufacturing. KES-SDM 2021. Smart Innovation, Systems and Technologies, vol 262. Springer, Singapore. https://doi.org/10.1007/978-981-16-6128-0_12
Download citation
DOI: https://doi.org/10.1007/978-981-16-6128-0_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6127-3
Online ISBN: 978-981-16-6128-0
eBook Packages: EngineeringEngineering (R0)