scholarly journals The evolution of world class manufacturing toward Industry 4.0: A case study in the automotive industry

2019 ◽  
Vol 52 (10) ◽  
pp. 188-194 ◽  
Author(s):  
Mojtaba Ebrahimi ◽  
Armand Baboli ◽  
Eva Rother
2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.


2020 ◽  
Vol 51 (11) ◽  
pp. 14-25
Author(s):  
Krisztina Demeter ◽  
Dávid Losonci ◽  
Róbert Marciniak ◽  
Judit Nagy ◽  
Péter Móricz ◽  
...  

In the last few years, the management literature has become noisy with Industry 4.0 (I4.0). Although several concepts and typologies intend to make the phenomenon more understandable, these endeavours generally focus on technological aspects or specific issues. Therefore, integrated approaches of the I4.0 transformation on the business side and a comprehensive investigation of this phenomenon on the academic side are still needed. This paper synthetizes the lessons of 15 case studies from five sectors (automotive, FMCG, logistics services, retail, and business services) and places them in a triadic framework of technology, strategy, and organization. The case studies are based on interviews, internal documents and public information. This paper reveals that the analysed companies focus on I4.0 technologies that are substantially related to the development of core activities. Companies in a highly competitive global environment (e.g., automotive industry and business services) are more prepared and progress faster with I4.0 technology implementation.


2020 ◽  
Vol 10 (14) ◽  
pp. 4942
Author(s):  
Lorenzo D’Orazio ◽  
Roberto Messina ◽  
Massimiliano M. Schiraldi

In the last decade, technological progress has profoundly influenced the industrial world and all industrial sectors have been confronted with a change in technological paradigms. In such a context, this study aims to analyze the synergies between the technological world of Industry 4.0 and the purely organizational and managerial domain of World Class Manufacturing, a model of Operational Excellence. The objective is relating the driving dimensions of the World Class Manufacturing (WCM) system to the technological macrocategories of Industry 4.0: this would allow the identification of which technological solution to leverage on, aiming at optimization in a given World Class Manufacturing pillar. The result is a “WCM-I4.0 matrix”: a proposal to reconcile, exploit and trace the relations between the two complex concepts. The WCM-I4.0 matrix includes, by now, 100 Industry 4.0 technologies that best suits with the World Class Manufacturing pillars.


2020 ◽  
Vol 14 (2) ◽  
pp. 143-153
Author(s):  
Zahra Pourvaziry ◽  
Gholamreza Hashemzadeh Khorasgani ◽  
Mahmud Modiri ◽  
Hassan Farsijani

This study is functional in terms of purpose and descriptive-exploratory in terms of doing research. The method of data collection is library and field studies using a questionnaire tool. Those with relevant postgraduate qualifications and at least ten years of working experience, especially management experience in the automotive industry with a sufficiently motivated executive background to participate were chosen. In the quantitative section, the experts include nine executives and senior experts in the automotive industry who were selected through snowballing. The most important dimensions and criteria of a sustainable world class manufacturing model are identified by a theoretical literature review and interviews with the experts, and they were then screened and localized with expert opinions and fuzzy Delphi techniques. After collecting data through a paired comparisons questionnaire, the data were analyzed by using a fuzzy-dimensional network analysis process hybrid technique. The findings of fuzzy DEMATEL indicated that the dimensions of "environmental", "economic" and "social" sustainability help in achieving sustainable world class manufacturing.


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