An integrated Pythagorean fuzzy-based methodology for sectoral prioritization of industry 4.0 with lean supply chain perspective

İ Kaya, A Karaşan, E İlbahar… - International Journal of …, 2024 - Taylor & Francis
ABSTRACT Transition strategies to industry 4.0 (I4. 0) have recently become crucial for an
optimal human and technology interaction environment in business areas, which aims to …

Sectoral prioritization of industry 4.0 under lean supply chain with an integrated fuzzy decision-making approach: The case of Turkey

A Karasan, E Ilbahar, I Kaya… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
Industry 4.0 is one of the most remarkable topics as it is expected to affect and benefit most
sectors. However, the urgency for industry 4.0 transformation will probably be different for …

An Industry 4.0 Technology Selection Framework for Manufacturing Systems and Firms Using Fuzzy AHP and Fuzzy TOPSIS Methods

PD Pour, AA Ahmed, MA Nazzal, BM Darras - Systems, 2023 - mdpi.com
Characterized by its resilience, connectivity, and real-time data processing capabilities, the
fourth industrial revolution, referred to as Industry 4.0, is the main driver of today's digital …

Appraisal of smart factory design for advance manufacturing plants based on transition strategies by using an integrated fuzzy decision-making methodology

I Kaya, A Karaşan, Ö Güvercin, E Ilbahar… - International Journal of …, 2023 - Taylor & Francis
One of the most critical points of the Industry 4.0 (I4. 0) era is the smart factories (SFs) that
emerged with the digital evolution of production facilities, that aims to achieve …

Prioritization of policy initiatives to overcome Industry 4.0 transformation barriers based on a Pythagorean fuzzy multi-criteria decision making approach

D Sumrit - Cogent Engineering, 2021 - Taylor & Francis
Abstract Industry 4.0 (hereafter I4. 0) transformation in manufacturing sectors is considerably
gaining a lot of attention from both researchers and practitioners. To increase the success …

Prioritising the solutions to overcome Industry 4.0 implementation barriers in the Indian manufacturing industry context

SS Lahane, A Patel, R Kant - International Journal of …, 2021 - inderscienceonline.com
At present, industrial sectors are at the verge of the fourth industrial revolution, ie, Industry
4.0. This revolutionary era brings immense opportunities for the industry to improve its …

Creating a road map for industry 4.0 by using an integrated fuzzy multicriteria decision-making methodology

İ Kaya, M Erdoğan, A Karaşan, B Özkan - Soft Computing, 2020 - Springer
Industry 4.0 can be defined as a creative manufacturing concept which is the integration of
up-to-date technologies such as wireless systems, cyberphysical systems, Internet of things …

Barriers to implementation of blockchain into supply chain management using an integrated multi-criteria decision-making method: a numerical example

C Öztürk, A Yildizbaşi - Soft Computing, 2020 - Springer
Abstract Information and product visibilities have been crucial in today's supply chain
processes, as economic, environmental and social sustainability concepts, which have been …

A multi-criteria analysis for critical success factors through industry 4.0

O Albayrak, B Erkayman - International Journal of Fuzzy Systems, 2023 - Springer
In recent years, the concept of Industry 4.0 has attracted increasing attention around the
world. This new approach involves the digital development and transformation of products …

Evaluation of Industry 4.0 strategies for digital transformation in the automotive manufacturing industry using an integrated fuzzy decision-making model

ÖF Görçün, AR Mishra, A Aytekin, V Simic… - Journal of Manufacturing …, 2024 - Elsevier
The current paper proposes a methodological frame to identify the best Industry 4.0 (I4)
strategy for the automotive manufacturing industry as a roadmap for companies to make a …