Abstract
Autonomous Maintenance (AM) is part of a maintenance strategy that focuses on the “man-machine” relationship to effectively carry out cleaning, lubrication, inspection and minor repairs. When properly implemented, AM can significantly improve productivity and quality, as well as reduce cost, therefore, it is an important area of operations management (OM). However, the industry has been challenged with numerous barriers to successfully implement AM and academia has done little to help industry in this regard. This paper addresses this current research-practice gap by offering as its main goal a framework for implementation of AM with the “Human, Technological and Organizational” (HTO) dimensions. It builds upon an action research conducted within a longitudinal study in a rolling mill production process. The adoption of the HTO approach by OM scholars has been successfully conducted in different cases and is well documented in the literature. However, this is the first research to use this approach within AM. The research findings indicate the adherence of the HTO dimensions to match the AM implementation challenges and reinforce the need for a holistic and combined perspective of these dimensions for business development. Practitioners can take stock of the lessons learnt within this action research and the offered framework to aid the implementation of AM in their operations.
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Acknowledgements
The following research agencies supported this work: Coordination for the Improvement of Higher Education Personnel (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil—CAPES) (Finance Code 001), Brazilian National Council for Scientific and Technological Development (CNPq) (311757/2018-9) and Research Support Foundation of the State of Rio de Janeiro (Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro - FAPERJ) (APQ1 2019/ n.º 210.183/2019).
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Loures, P.C., Scavarda, L.F., de Carvalho, A.R.N. (2021). Framework for Implementation of Autonomous Maintenance with the HTO Approach. In: Tavares Thomé, A.M., Barbastefano, R.G., Scavarda, L.F., Gonçalves dos Reis, J.C., Amorim, M.P.C. (eds) Industrial Engineering and Operations Management. IJCIEOM 2021. Springer Proceedings in Mathematics & Statistics, vol 367. Springer, Cham. https://doi.org/10.1007/978-3-030-78570-3_15
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