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      Industry 4.0, transition or addition in SMEs? A systematic literature review on digitalization for deviation management

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          Abstract

          Nowadays, Industry 4.0 (I4.0) has become a trendy topic in manufacturing industries worldwide. The definition is far from being comprehensible for small players, and the practical uptake is ambiguous. Transnational companies are often at the top in deploying I4.0 features, learning primarily from their experimentation. Alternatively, small- to medium-sized enterprises (SMEs), given their less stable value chains and unsteady processes, tend to target most of their efforts on controlling disturbances and adopting solutions for deviation control. Such solutions can be features that set the path for SMEs to transition to I4.0. This paper aims to examine the reported degree of digitalization in implemented solutions in SMEs when handling deviations and analyze the integration of such solutions in their digital transformation process. Systematic literature review (SLR) is used to examine literature published up to and including January 2019. The results show a higher concentration on practical applications rather than on frameworks. Existing frameworks that focus on SMEs address particular elements of I4.0 rather than a gradual shift with a holistic view, increasing the deployment difficulty for SMEs. This paper identifies potential constraints in deployment if such a trend maintains for consecutive years.

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          Most cited references45

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          Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review

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            A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

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              Systematic reviews: synthesis of best evidence for clinical decisions.

              Systematic reviews can help practitioners keep abreast of the medical literature by summarizing large bodies of evidence and helping to explain differences among studies on the same question. A systematic review involves the application of scientific strategies, in ways that limit bias, to the assembly, critical appraisal, and synthesis of all relevant studies that address a specific clinical question. A meta-analysis is a type of systematic review that uses statistical methods to combine and summarize the results of several primary studies. Because the review process itself (like any other type of research) is subject to bias, a useful review requires clear reporting of information obtained using rigorous methods. Used increasingly to inform medical decision making, plan future research agendas, and establish clinical policy, systematic reviews may strengthen the link between best research evidence and optimal health care.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                The International Journal of Advanced Manufacturing Technology
                Int J Adv Manuf Technol
                Springer Science and Business Media LLC
                0268-3768
                1433-3015
                March 2022
                November 07 2021
                March 2022
                : 119
                : 1-2
                : 57-76
                Article
                10.1007/s00170-021-08253-2
                9ac23baf-3c95-48a3-bb85-1af3c7c61c46
                © 2022

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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