Abstract
Failure modes and effect analysis (FMEA) is widely used in industry to quantify, mitigate, and eliminate risk for products and processes. It has the potential to be an important technique in supporting sustainable manufacturing by reducing the risks associated with transitioning to more sustainable processes. Whilst traditional FMEA does quantify risk by calculating a risk priority number (RPN), there are limitations to the usefulness of this due to the lack of objectiveness inherent in the method. In this paper improvements to the traditional FMEA approach are reviewed and their appropriateness in the specific case of the manufacture of electrostatic chucks (ESC) is considered.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Badurdeen, F., Jawahir, I.S.: Strategies for value creation through sustainable manufacturing. Procedia Manuf. 8, 20–27 (2017)
Enyoghasi, C., Badurdeen, F.: Industry 4.0 for sustainable manufacturing: Opportunities at the product, process, and system levels. Resour., Conserv. Recycl. 166, 105362 (2021)
Boral, S., Howard, I., Chaturvedi, S., Mckee, K., Naikan, V.: A novel hybrid multi-criteria group decision making approach for failure mode and effect analysis: An essential requirement for sustainable manufacturing. Sustain. Prod. Consum. 21, 14–32 (2020)
Nguyen, T.-L., Shu, M.-H., Hsu, B.-M.: Extended FMEA for sustainable manufacturing: an empirical study in the non-woven fabrics industry. Sustainability 8(9), 939 (2016)
Malsch, I., Subramanian, V., Semenzin, E., Hristozov, D.: Supporting decision-making for sustainable nanotechnology. Environ. Syst. Decis. 35(1), 54–75 (2015)
Wang, L.-E., Liu, H.-C., Mei-Yun Quan, M.-Y.: Evaluating the risk of failure modes with a hybrid MCDM model under interval-valued intuitionistic fuzzy environments. Comput. Ind. Eng. 102, 175–185 (2016)
de Souza, F.H., Gaviao, L.O., Sant’anna, A.P., Lima, G.B.A.: Prioritising risks with composition of probabilistic preferences and weighting of FMEA for fast decision making in complex scenarios. Int. J. Manag. Proj. Bus. 15(4), 572–594 (2021)
Kutlu, A.C., Ekmekçioğlu, M.: Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert. Syst. Appl. 39, 61–67 (2012)
Cabanes, B., Hubac, S., Lemasson, P., Benoit, W.: Improving reliability engineering in product development based on design theory: the case of FMEA in the semiconductor industry. Res. Eng. Des. 32(3), 309–329 (2021)
Dagsuyu, C., Gocmen, E., Narli, M., Kokangul, A.: Classical and fuzzy FMEA risk analysis in a sterilization unit. Comput. Ind. Eng. 101, 286–294 (2016)
Liu, H.-C., You, J.-X., Duan, C.-Y.: An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment. Int. J. Prod. Econ. 207, 163–172 (2019)
Liu, H.-C., Liu, L., Liu, N.: Risk evaluation approaches in failure mode and effects analysis: a literature review. Expert. Syst. Appl. 40, 828–838 (2013)
Mardani, A., Jusoh, A., Nor, K.M., Khalifah, Z., Zakwan, N., Valipour, A.: Multiple criteria decision-making techniques and their applications—a review of the literature from 2000 to 2014. Econ. Res.-Ekon. Istraz. 28(1), 516–571 (2015)
Adar, E., Ince, M., Karatop, B., Bilgili, M.S.: The risk analysis by failure mode and effect analysis (FMEA) and fuzzy-FMEA of supercritical water gasification system used in the sewage sludge treatment. J. Environ. Chem. Eng. 5, 1261–1268 (2017)
Golcuk, I.: Interval type-2 fuzzy interence-based failure mode and effect analysis model in a group decision-making setting, Kybernetes, Vol. ahead of print (2021)
Carpitella, S., Certa, A., Izquierdo, J., La Fata, C.M.: A combined multi-criteria approach to support FMECA analyses: a real-world case. Reliab. Eng. Syst. Saf. 169, 394–402 (2018)
Fattahi, R., Khalilzadeh, M.: Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment. Saf. Sci. 102, 290–300 (2018)
Mandal, S., Maiti, J.: Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach. Expert. Syst. Appl. 41, 3527–3537 (2014)
Shaker, F., Shahin, A., Jahanyan, S.: Developing a two-phase QFD for improiving FMEA: an integrative approach. Int. J. Qual. Reliab. Manag. 36(8), 1454–1474 (2019)
Shaker, F., Shahin, A., Jahanyan, S.: Investigating the causal relationships among failure modes, effects and causes; a system dynamics approach. International Journal of Quality and Reliability Management, Vol. ahead of print (2021)
Emovon, I., Mgbemena, C.O.: Enhancing the FMEA technique using a combination of Expectation interval, TAGUCHI, MOORA and Geometric Mean methods. J. Eng. Res. 7, 238–260 (2019)
Wang, X.K., Cheng, J., Wang, K.S., Yang, Y.Y., Sun, Y.C., Cao, M.L., Han, C.K., Ji, L.H.: Modeling of electrostatic chuck and simulation of electrostatic force. In: Applied Mechanics and Materials, vol. 511–512 (Sensors, Mechatronics and Automation), pp. 588–594 (2014)
Reda, H., Dvivedi, A.: Decision-making on the selection of lean tools using fuzzy QFD and FMEA approach in the manufacturing industry. Expert. Syst. Appl. 192, 116416 (2022)
Marriott, B., Arturo Garza‐Reyes, J., Soriano‐Meier, H., Antony, J.: An integrated methodology to prioritise improvement initiatives in low volume‐high integrity product manufacturing organisations. J. Manuf. Technol. Manag. 24, 197–217 (2013)
Hettiarachchi, R.L., Koomsap, P. & Ardeneam, P. 2021. VIKOR power law-based customer-oriented FMEA with complete unique risk priority numbers. International Journal of Quality & Reliability Management, Vol. ahead of print.
Moreira, A.C., Ferreira, L.M.D.F., Silva, P.: A case study on FMEA-based improvement for managing new product development risk. Int. J. Qual. Reliab. Manag. 38, 1130–1148 (2021)
Peeters, J.F.W., Basten, R.J.I., Tinga, T.: Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner. Reliab. Eng. & Syst. Saf. 172, 36–44 (2018)
Filho, J.C.B., Piechnicki, F., de Freitas Rocha Loures, E., Santos, E.A.P.: Process-aware FMEA framework for failure analysis in maintenance. J. Manuf. Technol. Manag. 28(6), 822–848 (2017)
Sana, M., Saleem, U., Farooq, M., Qamar, A., Bhutta, M., Zafar, S.: Identification of failure modes on electrostatic chuck through reliability centered maintenance: a case study. Proc Pak. Acad. Sci. A 55(2), 21–32 (2018)
Acknowledgements
The ASTUTE 2020 (Advanced Sustainable Manufacturing Technologies) operation is part funded through the European Regional Development Fund (ERDF), the participating Higher Educational Institutions in Wales and KLA, SPTS Division, Newport, South Wales.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
James, S., Rowlands, H. (2023). A Review of Failure Mode and Effects Analysis (FMEA) for Sustainable Manufacturing and Improvement in Electrostatic Chuck Manufacture and Operation. In: Scholz, S.G., Howlett, R.J., Setchi, R. (eds) Sustainable Design and Manufacturing. SDM 2022. Smart Innovation, Systems and Technologies, vol 338. Springer, Singapore. https://doi.org/10.1007/978-981-19-9205-6_15
Download citation
DOI: https://doi.org/10.1007/978-981-19-9205-6_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-9204-9
Online ISBN: 978-981-19-9205-6
eBook Packages: EngineeringEngineering (R0)