Related Experiment Video
Updated: Oct 3, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
Published on: June 1, 2022
Industry 4.0 Readiness Calculation-Transitional Strategy Definition by Decision Support Systems
Maja Trstenjak1, Tihomir Opetuk1, Hrvoje Cajner1
1Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10 000 Zagreb, Croatia.
Calculating manufacturing digitization readiness is crucial for SMEs. This study introduces a novel decision support system model to optimize strategic planning, minimizing risks and subjective assessments for successful Industry 4.0 adoption.
Area of Science:
- Manufacturing Engineering
- Industrial Management
- Operations Research
Background:
- Industry 4.0 adoption remains challenging for manufacturing firms, particularly SMEs, due to strategic and skill gaps.
- High investment costs and perceived risks often hinder the adoption of new business models.
- Readiness factor calculation offers a method to mitigate risks and clarify benefits of digitization.
Purpose of the Study:
- To present a novel model for calculating the readiness factor for manufacturing digitization.
- To orient the readiness model towards process planning and leverage decision support systems.
- To provide a strategic planning tool for companies transitioning to Industry 4.0.
Main Methods:
- Development of a readiness factor calculation model based on decision support systems.
- Application of the Analytic Hierarchy Process (AHP) for strategic digitization planning.
- Integration of statistical methods to minimize subjectivity and quantify qualitative criteria.
Main Results:
- The proposed model enables the definition of optimal strategic plans for digitization.
- It effectively minimizes human subjectivity in assessing qualitative factors.
- The model's usability and reliability were validated through a case study in a metal machining company.
Conclusions:
- The developed model provides a structured approach to assess and plan for manufacturing digitization.
- It supports SMEs in navigating the complexities of Industry 4.0 implementation, particularly in process planning.
- The decision support system approach enhances strategic decision-making for technology adoption.
Related Concept Videos
Distribution Reliability and Automation
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Control Systems
At the heart...
Multimachine Stability
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Decision Making
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: P-value Method
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...

