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Lean and TRIZ for Improving the Maintenance Process

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Systematic Innovation Partnerships with Artificial Intelligence and Information Technology (TFC 2022)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 655))

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Abstract

Maintenance plays an essential role in the progress of an organization. In order to achieve excellent performance, maintenance strategies must be linked to manufacturing strategies such as Lean. Based on the available data, this paper provides an understanding of the existing research related to the use of Lean and TRIZ within the maintenance process. In order to identify the need for further research in this area. The objective of this paper is then to answer the following question: How can Lean and TRIZ improve the maintenance process? To do this, we focus mainly on the analysis of previous work where TRIZ tools or Lean manufacturing methods have been used individually to improve the maintenance process. The results of previous studies were analyzed and then the main problems that were detected in the previous literature were identified.

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References

  1. Sojka, V., Lepšík, P.: Use of TRIZ, and TRIZ with other tools for process improvement: a literature review. Emerg. Sci. J. 4, 319–335 (2020). https://doi.org/10.28991/esj-2020-01234

    Article  Google Scholar 

  2. Feldman, K.: Using the work of others: some observations on reviewing and integrating (1971). https://doi.org/10.2307/2111964

  3. Definitions–Lean.pdf. http://cstsolutionsllc.com/wp-content/uploads/2017/05/Definitions%E2%80%93Lean.pdf. Accessed 16 Feb 2022

  4. Raddam, C., Boumane, A., Kamach, O.: Etat de l’art : optimisation de la maintenance selon une approche lean, Tanger, Morocco, December 2015. https://hal.archives-ouvertes.fr/hal-01260732. Accessed 27 May 2021

  5. Hawkins, B.: The many faces of lean maintenance. Plant Eng. 59, 63–65 (2005)

    Google Scholar 

  6. Gupta, S., Gupta, P., Parida, A.: Modeling lean maintenance metric using incidence matrix approach. Int. J. Syst. Assur. Eng. Manag. 8(4), 799–816 (2017). https://doi.org/10.1007/s13198-017-0671-z

    Article  Google Scholar 

  7. Shou, W., Wang, J., Wu, P., Wang, X.: Lean management framework for improving maintenance operation: development and application in the oil and gas industry. Prod. Plann. Control 32(7), 585–602 (2021). https://doi.org/10.1080/09537287.2020.1744762

    Article  Google Scholar 

  8. Verma, A., Ghadmode, A.: An integrated lean implementation model for fleet repair and maintenance. Naval Eng. J. 116(4), 79–89 (2004). https://doi.org/10.1111/j.1559-3584.2004.tb00306.x

  9. Moayed, F., Shell, R.: Comparison and evaluation of maintenance operations in lean versus non-lean production systems. J. Qual. Maint. Eng. 15, 285–296 (2009). https://doi.org/10.1108/13552510910983224

    Article  Google Scholar 

  10. Ghayebloo, S., Shahanaghi, K.: Determining maintenance system requirements by viewpoint of reliability and lean thinking: a MODM approach. J. Qual Maint. Eng. 16(1), 89–106 (2010). https://doi.org/10.1108/13552511011030345

    Article  Google Scholar 

  11. Ayeni, P., Baines, T., Lightfoot, H., Ball, P.: State-of-the-art of “Lean” in the aviation maintenance, repair, and overhaul industry. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 225, 2108–2123 (2011). https://doi.org/10.1177/0954405411407122

    Article  Google Scholar 

  12. Silva, N.D.: Maintainability approach for lean maintenance, Sri Lanka, p. 10 (2012)

    Google Scholar 

  13. Bokrantz, J., Skoogh, A., Ylipää, T.: Lean principles and engineering tools in maintenance organizations - a survey study, p. 8 (2014)

    Google Scholar 

  14. Youssouf, A., Rachid, C., Ion, V.: Contribution to the optimization of strategy of maintenance by lean six sigma. Phys. Procedia 55, 512–518 (2014). https://doi.org/10.1016/j.phpro.2014.08.001

    Article  Google Scholar 

  15. Mostafa, S., Lee, S.-H., Dumrak, J., Chileshe, N., Soltan, H.: Lean thinking for a maintenance process. Prod. Manuf. Res. 3(1), 236–272 (2015). https://doi.org/10.1080/21693277.2015.1074124

    Article  Google Scholar 

  16. Ebeid, A.A., El-Khouly, I.A., El-Sayed, A.E.: Lean maintenance excellence in the container handling industry: a case study. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, pp. 1646–1650, December 2016. https://doi.org/10.1109/IEEM.2016.7798156

  17. Abreu, A., Calado, J., Requeijo, J.: Buildings lean maintenance implementation model. Open Eng. 6(1) (2016). https://doi.org/10.1515/eng-2016-0055

  18. de Jong, S., van Blokland, W.: Measuring lean implementation for maintenance service companies. Int. J. Lean Six Sigma 7(1), 35–61 (2016). https://doi.org/10.1108/IJLSS-12-2014-0039

    Article  Google Scholar 

  19. Duran, O., Capaldo, A., Acevedo, P.: Lean maintenance applied to improve maintenance efficiency in thermoelectric power plants. Energies 10(10) (2017). https://doi.org/10.3390/en10101653

  20. Jasiulewicz-Kaczmarek, M., Saniuk, A.: How to make maintenance processes more efficient using lean tools? In: Goossens, R.H.M. (ed.) AHFE 2017. AISC, vol. 605, pp. 9–20. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-60828-0_2

    Chapter  Google Scholar 

  21. Implementation of Lean Methodologies in the Management of Consumable.pdf

    Google Scholar 

  22. Mouzani, I.A., et al.: The integration of lean manufacturing and lean maintenance to improve production efficiency. IJMPERD 9(1), 593–604 (2019). https://doi.org/10.24247/ijmperdfeb201957

  23. Hammadi, S., Herrou, B.: Lean integration in maintenance logistics management: a new sustainable framework. Manag. Prod. Eng. Rev. 11(2), 99–106 (2020). https://doi.org/10.24425/mper.2020.133732

    Article  Google Scholar 

  24. Antosz, K., Jasiulewicz-Kaczmarek, M., Pasko, L., Zhang, C., Wang, S.: Application of machine learning and rough set theory in lean maintenance decision support system development. Eksploatacja I Niezawodnosc-Maint. Reliab. 23(4), 695–708 (2021). https://doi.org/10.17531/ein.2021.4.12

    Article  Google Scholar 

  25. Crosby, B., Badurdeen, F.: Integrating lean and sustainable manufacturing principles for sustainable total productive maintenance (Sus-TPM). Smart Sustainable Manuf. Syst. 6(1) (2022). https://doi.org/10.1520/SSMS20210025

  26. TRIZ - What Is TRIZ.pdf. https://skat.ihmc.us/rid=1206064509716_727387479_10719/TRIZ%20-%20What%20Is%20TRIZ.pdf. Accessed: 21 Feb 2022

  27. Petrov, V.: TRIZ. Theory of Inventive Problem Solving: Level 1. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04254-7

  28. Ilevbare, I.M., Probert, D., Phaal, R.: A review of TRIZ, and its benefits and challenges in practice. Technovation 33(2), 30–37 (2013). https://doi.org/10.1016/j.technovation.2012.11.003

    Article  Google Scholar 

  29. Case study - applying the TRIZ methodology to machine maintenance. Triz J. 22 Aug 2003. https://triz-journal.com/case-study-applying-triz-methodology-machine-maintenance/. Accessed 22 Feb 2022

  30. Viveros, P., et al.: Enhancing maintenance scheduling and control process by using SMED and TRIZ theory, pp. 535–545 (2017). https://doi.org/10.1201/9781315210469-71

  31. Lv, C., Zhang, M., Wang, M.: Application research of TRIZ in maintainability design, pp. 1971–1975 (2013). https://doi.org/10.1109/QR2MSE.2013.6625966

  32. Benjaboonyazit, T.: Systematic approach to problem solving of low quality arc welding during pipeline maintenance using ARIZ (algorithm of inventive problem solving). Eng. J. 18(4), 113–133 (2014). https://doi.org/10.4186/ej.2014.18.4.113

    Article  Google Scholar 

  33. Petrovic, S., Lozanovic-Sajic, J., Knezevic, T., Pavlovic, J., Ivanov, G.: TRIZ method application for improving the special vehicles maintenance. Therm. Sci. 18(suppl.1), 13–20 (2014). https://doi.org/10.2298/TSCI130204169P

  34. Vaneker, T., van Diepen, T.: Design support for maintenance tasks using TRIZ. Procedia CIRP 39, 67–72 (2016). https://doi.org/10.1016/j.procir.2016.01.167

    Article  Google Scholar 

  35. TRIZ Methodology Applied to Maintenance Problem Solving on Industrial Steam Systems in Africa

    Google Scholar 

  36. Viveros, P., Nikulin, C., López-Campos, M., Villalón, R., Crespo, A.: Resolution of reliability problems based on failure mode analysis: an integrated proposal applied to a mining case study. Prod. Plann. Control 29(15), 1225–1237 (2018). https://doi.org/10.1080/09537287.2018.1520293

    Article  Google Scholar 

  37. Mortazavi, M.A., Amindoust, A., Shahin, A., Karbasian, M.: Identification and extraction of factors affecting maintenance strategy selection with 39 parameters of TRIZ approach using meta- synthesis. J. Crit. Rev. 7(10), 20 (2020)

    Google Scholar 

  38. Mortazavi, M.A., Amindoust, A., Shahin, A., Karbasian, M.: Integration of the TRIZ matrix and ANP to select the reactive maintenance tactics using the meta-synthesis approach. Manag. Prod. Eng. Rev. 12(1), 108–118 (2021). https://doi.org/10.24425/mper.2021.136876

    Article  Google Scholar 

  39. Bligh, A.: The Overlap Between TRIZ and Lean (2006)

    Google Scholar 

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Authors and Affiliations

  1. National School of Applied Sciences, 40000, Marrakesh, Morocco

    El Ghalya Laaroussi, El Hassan Irhirane & Badr Dakkak

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  1. El Ghalya Laaroussi
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  2. El Hassan Irhirane
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  3. Badr Dakkak
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Correspondence to El Ghalya Laaroussi .

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Editors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    Robert Nowak

  2. Warsaw University of Technology, Warsaw, Poland

    Jerzy Chrząszcz

  3. Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Stelian Brad

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Laaroussi, E.G., Irhirane, E.H., Dakkak, B. (2022). Lean and TRIZ for Improving the Maintenance Process. In: Nowak, R., Chrząszcz, J., Brad, S. (eds) Systematic Innovation Partnerships with Artificial Intelligence and Information Technology. TFC 2022. IFIP Advances in Information and Communication Technology, vol 655. Springer, Cham. https://doi.org/10.1007/978-3-031-17288-5_25

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  • DOI: https://doi.org/10.1007/978-3-031-17288-5_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17287-8

  • Online ISBN: 978-3-031-17288-5

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