On the quantification of complexity of manufacturing systems towards Industry 4.0, using the information theory and Shannon’s entropy
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Date
2024-03-14
Authors
Πετράκη, Νεφέλη Θεοφανία
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Abstract
The quantification of complexity in manufacturing systems has been a challenge since the
integration of Information Technologies (IT) in industry. Over the last decades, the transition
from the traditional manufacturing system to the manufacturing paradigm of Industry 4.0, with
the integration of the Internet of Things (IoT), Big Data and emerging technologies along with
the concept of mass customization, has led to the development of Cyber Physical Systems
(CPS) and Product Service Systems (PSS). Due to the multidimensionality of the modern
manufacturing systems, complexity is constantly increasing, having become even more
challenging to measure. At the same time, the quantification of complexity and the performance
evaluation of a company’s manufacturing system lifecycle are very important for
competitiveness, cost effectiveness and business performance. Using the Information Theory
and Shannon’s entropy is a way to quantify complexity of Industry 4.0 paradigm and approach
the optimum communication between the different departments that comprise the
manufacturing system. Hence, this thesis examines and analyses existing methodologies for the
quantification of complexity and seeks to provide effective criteria for validating complexity
formulae, in terms of performance and adequacy.
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Keywords
Industry 4.0, Manufacturing systems, Information theory, Shannon's entropy, Complexity