Abstract
Manufacturing execution concepts at the highest level of automation and interoperability are proposed by Industry 4.0. This is thanks to a group of information and communication technologies capable of creating integrated and connected systems, known as – cyber-physical systems. This network of integrated systems has been promoting gains in productivity, altering the profile of the workforce and the very conception of the work that will have more cognitive demands, increasing competitive potential. Therefore, organizations are more than ever willing to adapt to this scenario. Aiming to facilitate this digital transformation, avoiding an inefficient allocation of financial and human resources, the present work proposes a framework that provides the necessary guidelines for such a transformation to become viable. This will be done by a series of analyses using multicriteria decision-making methods (MCDM), evaluating the maturity of legacy systems, with a focus in the field of industrial maintenance. Those analysis are also based on the RAMI4.0 architecture, Total Productive Maintenance (TPM), Framework for Enterprise Interoperability (FEI), and will provide companies with guidelines for adequacy plans. To test and validate this framework, a multinational industrial entity belonging to the automotive sector was selected as a case study. The application results confirm that such tool can help in digital transformation projects and indicates adjustments for this to be done in a better way.
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References
Chen, D., Daclin, N.: Framework for Enterprise Interoperability, pp. 77–88 (2006). https://doi.org/10.1002/9780470612200.ch6.
The Boston Consulting Group: Industry 4.0 - Future of Productivity and Growth in Manufacturing (2015)
Batlajery, B. V, Khadka, R., Saeidi, A.M., Jansen, S., Hage, J.: Industrial Perception of Legacy Software System and their Modernization (2014)
Pintelon, L., Parodi-herz, A.: Complex System Maintenance Handbook. Springer, London (2008). https://doi.org/10.1007/978-1-84800-011-7
Deac, V., Cârstea, G., Bâgu, C., Pârvu, F.: The modern approach to industrial maintenance management. Informatica Economicâ 14, 133–144 (2010)
Brooke, C., Ramage, M.: Organisational scenarios and legacy systems. Int. J. Inf. Manage. 21, 365–384 (2001)
Ramage, M.: Global perspectives on legacy systems. In: Henderson, P. (ed.) Systems Engineering for Business Process Change: New Directions. Springer, London (2000). https://doi.org/10.1007/978-1-4471-0135-2_19
Liu, K., Alderson, A., Sharp, B., Shah, H., Dix, A.: Using Semiotic Techniques to Derive Requirements from Legacy Systems (1998)
Capgemini Consulting: Industry 4.0 - The Capgemini Consulting View: Sharpening the Picture beyond the Hype (2014)
The Warwick Manufacturing Group: An Industry 4 readiness assessment tool (2017)
Deloitte: Industry 4.0 - Challenges and solutions for the digital transformation and use of exponential technologies (2015)
PWC: Industry 4.0 : Building the digital enterprise (2016)
PWC: The Smart Manufacturing Industry: The Industrial Internet creates new opportunities for Swedish manufacturing companies (2015)
Cisco: The Digital Manufacturer Resolving the Service Dilemma (2015)
McKinsey & Company: Industry 4.0 at McKinsey’s model factories (2016)
Acatech: Industrie 4.0 Maturity Index (2017)
Roland Berger: Roland Berger 2014 (2014)
Plattform Industrie 4.0: Reference Architectural Model Industrie 4.0 (RAMI 4.0). An Introduction (2015)
Chen, D., Dassisti, M., Elvesæter, B.: Enterprise Interoperability Framework and knowledge corpus. In: Interoperability Research for Networked Enterprises Applications and Software, pp. 1–44 (2007).
Pedone, G., Mezgár, I.: Model similarity evidence and interoperability affinity in cloud-ready Industry 4.0 technologies 100, 278–286 (2018). https://doi.org/10.1016/j.compind.2018.05.003.
Justus, A.D.S., Ramos, L.F.P., Loures, E. de F.R.: A capability assessment model of Industry 4.0 technologies for viability analysis of PoC (Proof of Concept) in an automotive company 7, 936–945 (2018). https://doi.org/10.3233/978-1-61499-898-3-936.
Ahuja, I.P.S., Khamba, J.S.: Total productive maintenance: literature review and directions 25, 709–756 (2008). https://doi.org/10.1108/02656710810890890
Dhillon, B.S.: Engineering maintenance: a modern approach (2002)
Ramos, L., Loures, E., Deschamps, F., Venâncio, A.: Systems evaluation methodology to attend the digital projects requirements for Industry 4.0, 1–27 (2019). https://doi.org/10.1080/0951192X.2019.1699666
Ruschel, E., Santos, E.A.P., Loures, E. de F.R.: Industrial maintenance decision-making : a systematic literature review, p. 16 (2017)
Lazai Junior, M., Loures, E. de F.R., Santos, E.A.P., Szejka, A.L.: Avaliação da gestão da segurança funcional de máquinas na indústria automotiva sob a ótica da interoperabilidade 6, 3009–3023 (2020). https://doi.org/10.34117/bjdv6n1-218
Filho, J.C.B., Piechnicki, F., Loures, E.D.F.R., Santos, E.A.P.: Process-Aware FMEA framework for failure analysis in maintenance 28, 822–848 (2017). https://doi.org/10.1108/JMTM-11-2016-0150
Venâncio, A.L.A.C., Brezinski, G.L., Gorski, E.G., Loures, E. de F.R., Deschamps, F.: System interoperability assessment in the context of Industry 4.0-oriented maintenance activities, 0–5 (2018)
Saaty, R.W.: The analytic hierarchy process-what and how it is used. Math. Model. 9, 161–176 (1987)
Forman, E., Peniwati, K.: Aggregating individual judgments and priorities with the Analytic Hierarchy Process 108, 165–169 (1998). https://doi.org/10.1016/S0377-2217(97)00244-0
Athawale, V.M., Chakraborty, S.: Facility location selection using PROMETHEE II method 11, 16–30 (2010). https://doi.org/10.1504/IJISE.2012.046652
Mareschal, B., Brans, J.-P., Figueira, J.R., Greco, S., Ehrogott, M.: Multiattribute Utility Theory (2005)
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Venâncio, A.L.A.C., de Freitas Rocha Loures, E., Deschamps, F., Diogo, R.A., Lumikoski, A.F., dos Santos, N. (2021). Digital Transformation Framework for Adequacy of Maintenance Systems for Industry 4.0. In: Rossit, D.A., Tohmé, F., Mejía Delgadillo, G. (eds) Production Research. ICPR-Americas 2020. Communications in Computer and Information Science, vol 1407. Springer, Cham. https://doi.org/10.1007/978-3-030-76307-7_21
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