Industry 4.0 Maturity Models to Support Smart Manufacturing
Transformation: A Systematic Literature Review

Industry 4.0 Maturity Models to Support Smart Manufacturing
Transformation: A Systematic Literature Review

maturity model; intelligent systems; smart manufacturing; industry 4.0

With increasing pressure to revitalize manufacturing industries with Smart Manufacturing capability within the Industry 4.0
(I4.0) context, companies have uneven readiness reflecting their gaps and barriers for transforming to the I4.0 state.
Understanding factors and measuring a company’s maturity in addressing the I4.0 transformation is crucial to diagnose the
company’s current condition and provide corresponding prescriptive action plan effectively. Despite the positive trend of
maturity models for the industries, companies still face challenges with low I4.0 adoption rate. Designing a corresponding
diagnostic framework into an intelligent maturity model will ultimately lead the company’s pathways toward the desired
capabilities. In response, we systematically review and select the state-of-the-art research through a Systematic Literature
Review (SLR) conduct to scrutinize the main characteristics of 14.0 Maturity Models. Subsequently, 35 exceptional articles
published between 1980-2020 were selected for in-depth analysis of their structure, dimensions, and analytical features. Our
analysis revealed the descriptive method have been widely used in many maturity models while few more-advanced prescriptive
models design adopt fuzzy rule-base analytical hierarchy, knowledge based, Monte-Carlo methods, and even expert-system
approaches. Furthermore, people, culture, organization, resources, information system, business processes, and smart
technology, products and services have been treated as the popular evaluation dimensions which will define the state of an
industry’s maturity level

Akhmad Hadi Susanto1
, Togar M. Simatupang2
, Meditya Wasesa3

Institut Teknologi Bandung

26-03-2023

Fajar bagus W

PDF

Indonesia

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