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2024 | OriginalPaper | Chapter

Realizing Waste-Reducing Potential in Small-Lot Production with Digital Twins

Authors : Sara Moghadaszadeh Bazaz, Juho Ratava, Mika Lohtander, Maya Reslan, Naser Alqseer, Juha Varis

Published in: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems

Publisher: Springer Nature Switzerland

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Abstract

New digital technologies are integrated to improve production. The Lean manufacturing paradigm is the foremost approach to creating efficient processes in the industry. In small-lot production, improvements include optimizing the process and decision-making for controlling the quality of the final product, reducing production time, and saving energy. This research overviews existing combinations of Lean manufacturing and Industry 4.0 technologies by literature review and discusses the potential of the digital twins in lean manufacturing. The objective of this paper is to investigate the potential of digital twins, as a state-of-the-art technology in industry 4,0, in small-lot production in the metal-cutting industry. As a result, a digital twins framework with five layers is proposed to use in the product design and manufacturing phase of a product lifecycle with a lean waste paradigm. The tasks of these layers are to transfer data from the physical space to the virtual space, extract information and knowledge, analyses them to select the appropriate manufacturing parameters, evaluate the results, and predict the status of the production. The framework enables the users to optimize the process planning and make decisions based on the updated data from the physical shop floor.

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Liu, X.L., Wang, W.M., Guo, H., Barenji, A.V., Li, Z., Huang, G.Q.: Industrial blockchain based framework for product lifecycle management in industry 4.0. Robot. Comput.-Integr. Manufact. 63, 101897 (2020)

Adlin, L.M., Lohtander, M.: The circular economy competence of the manufacturing industry - a case study, LNCS (2022) (accepted)

Enterprises by industry and size class in personnel. https://pxweb2.stat.fi/PxWeb/pxweb/en/StatFin/StatFin__yrti/statfin_yrti_pxt_11d7.px

Heilala, J., Helaakoski, H., Kuivanen, R., Kääriäinen, J., Saari, L.: A review of digitalisation in the Finnish manufacturing SME companies. VTT Technical Research Centre of Finland (2020)

Bazaz, S.M., Penttilä, S., Ratava, J., Ollikainen, M., Varis, J.: SMEs’ support functionality analysis based on statistical analysis. Proc. Manufact. 51, 960–966 (2020)CrossRef

Bazaz, S.M., Lohtander, M., Varis, J.: The prediction method of tool life on small lot turning process–development of digital twin for production. Proc. Manufact. 51, 288–295 (2020)CrossRef

Cortés-Murcia, D.L., Guerrero, W.J., Montoya-Torres, J.R.: Supply chain management, game-changing technologies, and physical internet: a systematic meta-review of literature. IEEE Access (2022)

Tortorella, G.L., Fettermann, D.: Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies. Int. J. Prod. Res. 56(8), 2975–2987 (2018)

Nankervis, A., Connell, J., Montague, A., Burgess, J. (eds.): The Fourth Industrial Revolution. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-1614-3CrossRef

10.

Oztemel, E., Gursev, S.: Literature review of industry 4.0 and related technologies. J. Intell. Manuf. 31(1), 127–182 (2018). https://doi.org/10.1007/s10845-018-1433-8CrossRef

11.

Kung, K.H., Ho, C.F., Hung, W.H., Wu, C.C.: Organizational adaptation for using PLM systems: group dynamism and management involvement. Ind. Mark. Manage. 44, 83–97 (2015)CrossRef

12.

Lai, N.Y.G., Wong, K.H., Halim, D., Lu, J., Kang, H.S.: Industry 4.0 enhanced lean manufacturing. In: 2019 8th International Conference on Industrial Technology and Management (ICITM), pp. 206–211. IEEE, March 2019

13.

Varela, L., Araújo, A., Ávila, P., Castro, H., Putnik, G.: Evaluation of the relation between lean manufacturing, industry 4.0, and sustainability. Sustainability 11(5), 1439 (2019)

14.

Buer, S.V., Strandhagen, J.O., Chan, F.T.: The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. Int. J. Prod. Res. 56(8), 2924–2940 (2018)

15.

Maguire, K.: Lean and IT—working together? an exploratory study of the potential conflicts between lean thinking and the use of information technology in organisations today. Understanding the lean enterprise: Strategies, methodologies, and principles for a more responsive organization, pp. 31–60 (2016)

16.

Valamede, L.S., Akkari, A.C.S.: Lean 4.0: A new holistic approach for the integration of lean manufacturing tools and digital technologies. Int. J. Math. Eng. Manag. Sci.. 5(5), 851 (2020)

17.

Ellingsen, O.: Commercialization within advanced manufacturing: value stream mapping as a tool for efficient learning. Procedia Cirp 60, 374–379 (2017)CrossRef

18.

Nallusamy, S., Saravanan, V.: Lean tools execution in a small scale manufacturing industry for productivity improvement-a case study. Indian J. Sci. Technol. 9(35), 01–07 (2016)CrossRef

19.

Abdullah, F.: Lean manufacturing tools and techniques in the process industry with a focus on steel. University of Pittsburgh (2003)

20.

Mayr, A., et al.: Lean 4.0-A conceptual conjunction of lean management and Industry 4.0. Proc. CIRP 72, 622–628 (2018)CrossRef

21.

Sanders, A., Elangeswaran, C., Wulfsberg, J.P.: Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. J. Indust. Eng. Manag. (JIEM) 9(3), 811–833 (2016)

22.

Bazaz, S.M., Lohtander, M., Varis, J.: 5-dimensional definition for a manufacturing digital twin. Proc. Manufact. 38, 1705–1712 (2019)CrossRef

23.

Garetti, M., Rosa, P., Terzi, S.: Life cycle simulation for the design of product–service systems. Comput. Ind. 63(4), 361–369 (2012)CrossRef

24.

Schützer, K., de Andrade, B.J., Sallati, C., Anderl, R., Zancul, E.: Contribution to the development of a digital twin based on product lifecycle to support the manufacturing process. Proc. CIRP 1(84), 82–87 (2019)CrossRef

25.

Lu, Y., Liu, Z., Min, Q.: A digital twin-enabled value stream mapping approach for production process reengineering in SMEs. Int. J. Comput. Integr. Manuf. 34(7–8), 764–782 (2021)CrossRef

26.

Holopainen, M., Ukko, J., Saunila, M., Rantala, T., Rantanen, H.: The digital twin combined with real-time performance measurement in lean manufacturing. In: Real-time Simulation for Sustainable Production, pp. 165–176. Routledge (2021)

27.

Ito, T., Abd Rahman, M.S., Mohamad, E., Abd Rahman, A.A., Salleh, M.R.: Internet of things and simulation approach for decision support system in lean manufacturing. J. Adv. Mech. Des. Syst. Manufact. 14(2), JAMDSM0027 (2020)

Title: Realizing Waste-Reducing Potential in Small-Lot Production with Digital Twins
Authors: Sara Moghadaszadeh Bazaz
Juho Ratava
Mika Lohtander
Maya Reslan
Naser Alqseer
Juha Varis
Publisher: Springer Nature Switzerland
Book: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems
Print ISBN: 978-3-031-38164-5

Electronic ISBN: 978-3-031-38165-2

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-38165-2_19