Abstract
Purpose
In recent years, the development and application of innovative and disruptive technologies in manufacturing environments is shaping the fourth industrial revolution, also known as Industry 4.0. The purpose of this paper is to describe a tool to assess the maturity level in implementing Industry 4.0 concepts and technologies in manufacturing companies.
Design/methodology/approach
Using a framework to develop maturity models found in literature, three main steps were taken: the model design from the literature review on industry 4.0 and the comparative analysis of existing models; interviews with engineers and managers of relevant industries; and pilot tests in two relevant industrial companies.
Findings
The proposed maturity model has 41 variables considering five dimensions (organizational strategy, structure and culture; workforce; smart factories; smart processes; smart products and services). The studied companies showed different levels of Industry 4.0 implementation. According to respondents, the model is useful in making an initial diagnosis and establishes a roadmap to proceed the implementation.
Practical implications
Empirical evidence supports the relevance of the proposed model and its practical usefulness. It can be used to measure the current state (initial diagnostic and monitoring assessments), and to plan the future desired state (goal), identifying which transformational capabilities should be developed.
Originality/value
The literature review did not return an enough complete maturity model to guide a self-administered assessment. Therefore, the proposed model is a valuable tool for companies and researchers to understand the I4.0 phenomenon, plan and monitor the transformation actions.
Subject
Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Control and Systems Engineering,Software
Reference24 articles.
1. Development of an industry 4.0 maturity model for the delivery process in supply chains;Journal of Modelling in Management,2018
2. Understanding the main phases of developing a maturity assessment model,2005
3. Assessment of maturity in project management: a bibliometric study of main models;Procedia Computer Science,2015
4. IAMM: ‘a maturity model for measuring industrial analytics capabilities in large-scale manufacturing facilities’;International Journal of Prognostics and Health Management,2016
5. Smart adaptable assembly systems;Procedia CIRP,2016
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