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A Critical Analysis of Job Shop Scheduling in Context of Industry 4.0

Raja Awais Liaqait, Shermeen Hamid, Salman Sagheer Warsi, Azfar Khalid
2021 Sustainability  
With the advent of Industry 4.0, there has been a paradigm shift in the manufacturing industry from traditional scheduling to smart distributed scheduling (SDS).  ...  Smart/intelligent manufacturing is an integral part of Industry 4.0.  ...  It is evident from Figure 1 that there is a drive toward the development of smart factories integrated with Industry 4.0.  ... 
doi:10.3390/su13147684 fatcat:2nce4laeezfxdmcy2r6hfchr5y

Industry 4.0 smart reconfigurable manufacturing machines

Jeff Morgan, Mark Halton, Yuansong Qiao, John G. Breslin
2021 Journal of manufacturing systems  
Uniquely, this paper establishes a vision for next-generation Industry 4.0 manufacturing machines, which will exhibit extraordinary Smart and Reconfigurable (SR*) capabilities.  ...  A B S T R A C T This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized machine control  ...  With special thanks to Sean Nolan from the Confirm Centre for his work in establishing the cross university collaboration which was pivotal to the creation of this paper.  ... 
doi:10.1016/j.jmsy.2021.03.001 fatcat:sv3e4hyiefbbvhqxttwo3n6vr4

Computational Intelligence in the Context of Industry 4.0 [chapter]

Alexander Hošovský, Ján Piteľ, Monika Trojanová, Kamil Židek
2021 Implementing Industry 4.0 in SMEs  
AbstractIndustry 4.0 is affecting almost every area of the industry, and as a result of its effects, systems, technologies, and the way information is processed are being transformed.  ...  The ending part of the chapter is focused on connecting theory and practice in a case study, which lists industrial parts recognition by convolutional neural networks for assisted assembly.  ...  With the vast amounts of data becoming ubiquitous, the concept of big data and methods for its efficient handling is central to Industry 4.0.  ... 
doi:10.1007/978-3-030-70516-9_2 fatcat:3bgkvenwcvcqvnlfmhmjeoyury

Bibliometric Analysis of Published Literature on Industry 4.0

Aidi Ahmi, Hany Elbardan, Raja Haslinda Raja Mohd Ali
2019 2019 International Conference on Electronics, Information, and Communication (ICEIC)  
Most of the research related to Industry 4.0 was conducted in Germany and multi-authored with a mean collaboration index of 3.65 authors per article.  ...  Publish or Perish software was used to incorporate the obtained data, while VOSviewer was used for data visualization. SPSS and Microsoft Excel were employed for data analysis.  ...  , T., Jasperneite, J. [14] 2017 IEEE Industrial Electronics Magazine 91 91 163 163 10 Towards smart factory for industry 4.0: A self-organized multi-agent system with big data based feedback  ... 
doi:10.23919/elinfocom.2019.8706445 dblp:conf/elinfocom/AhmiEA19 fatcat:szn5n5bdpjcvfp4zg3u7h4w36a

Data Management in Industry 4.0: State of the Art and Open Challenges [article]

Theofanis P. Raptis, Andrea Passarella, Marco Conti
2019 arXiv   pre-print
Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of  ...  As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based  ...  In [292] , the authors present a self-organized system with data based feedback, coordination and improved decision making ability.  ... 
arXiv:1902.06141v2 fatcat:4uvwquinx5h65dy4udx24bhrmm

Sustainable engineering challenges towards Industry 4.0: A comprehensive review

Amina Krdžalić, Lejla Hodžić
2019 Sustainable Engineering and Innovation, ISSN 2712-0562  
It brings new challenges and ask for new approach from management to be able to handle fast and big changes in business environment and to implement such innovation in production effectively.  ...  This article reviews Industry 4.0, its emerging phase, implementation, challenges, benefits, etc.  ...  Assembly system In the idea of "Smart manufacturing", there is also a term of "Smart factory", characterized with Big data, collected from many industrial processes.  ... 
doi:10.37868/sei.v1i1.34 fatcat:qvgdnduqhfafhnfpnqncgi2664

Process stabilisation - key assumption for implementation of Industry 4.0 concept in industrial company

Felicita Chromjakova
2017 Journal of Systems Integration  
Implementation of Industry 4.0 concept based on the real stability of horizontal (business) and vertical (digitized) enterprise processes.  ...  Results presented in this paper based on the research project and survey realised in more industrial companies.  ...  The smart factory is characterized by a selforganized multi-agent system assisted with big data based feedback and coordination.  ... 
doi:10.20470/jsi.v8i1.295 doaj:c3dbc373dac343cdaceb2b90dbb2072c fatcat:azxyrvt76vea7lrjmgcqg3zcvu

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions [article]

Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, Mohsen Guizani
2021 arXiv   pre-print
In a nutshell, we have explored the significance of AI and Big data towards Industry 4.0 applications through panoramic reviews and discussions.  ...  The increasing need for economic, safe, and sustainable smart manufacturing combined with novel technological enablers, has paved the way for Artificial Intelligence (AI) and Big Data in support of smart  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the Management, and Faculty of Mepco Schlenk Engineering College, Sivakasi, India for their support and extending necessary facilities to carry out this  ... 
arXiv:2104.02425v2 fatcat:r25gug6wmrbyjnreiewprdvqpa

Decentralized decision support for intelligent manufacturing in Industry 4.0

Maria Marques, Carlos Agostinho, Gregory Zacharewicz, Ricardo Jardim-Gonçalves, Davy Preuveneers, Elisabeth Ilie-Zudor
2017 Journal of Ambient Intelligence and Smart Environments  
Industry 4.0" is recognized as the future of industrial production in which concepts as Smart Factory and Decentralized Decision Making are fundamental.  ...  Validation results are provided together with a discussion on the main challenges that might be an obstacle for a successful decision strategy.  ...  Acknowledgements The research leading to these results has received funding from the European Union H2020 projects InLife (contract nr. 517018), IMAGINE (contract nr. 285132), C2NET (contract nr. 636909) and  ... 
doi:10.3233/ais-170436 fatcat:7xehftno4jdjzkzhnilwr6ud2u

Decentralized Decision Support For Intelligent Manufacturing In Industry 4.0

Maria Marques, Carlos Agostinho, Gregory Zacharewicz, Ricardo Jardim-Gonçalves
2017 Zenodo  
"Industry 4.0" is recognized as the future of industrial production in which concepts as Smart Factory and Decentralized Decision Making are fundamental.  ...  Validation results are provided together with a discussion on the main challenges that might be an obstacle for a successful decision strategy.  ...  Acknowledgements The research leading to these results has received funding from the European Union H2020 projects InLife (contract nr. 517018), IMAGINE (contract nr. 285132), C2NET (contract nr. 636909) and  ... 
doi:10.5281/zenodo.1260651 fatcat:hqxoik4ygbajbi7vupt65wrkmy

Lean Manual Assembly 4.0: A Systematic Review

Adrian Miqueo, Marta Torralba, José A. Yagüe-Fabra
2020 Applied Sciences  
starting point for smart factories, and (4) the implications of Industry 4.0 for people in assembly operations.  ...  In a demand context of mass customization, shifting towards the mass personalization of products, assembly operations face the trade-off between highly productive automated systems and flexible manual  ...  In the last stage of Industry 4.0 (smart), assembly systems would be Self-Adapting Smart Systems (SASS), and together with continuous support to operators (OSS), flexibility, agility and productivity would  ... 
doi:10.3390/app10238555 fatcat:j7wq7cqhxfhavoirse4pdfsa74

Towards Identification of the Hierarchical Link between Industry 4.0, Smart Manufacturing and Smart Factory: Concept Cross-Comparison and Synthesis

Sarah El Hamdi, Mustapha Oudani, Abdellah Abouabdellah
2019 International Journal of Supply and Operations Management  
The purpose of the current research on one hand is to highlight the relation between I4.0, smart manufacturing and smart factory, and on the other hand to present a synthesis of Industry 4.0 national initiatives  ...  At the heart of this evolution is the emergence of the Industry 4.0 concept, which includes a key element that is intelligent production in factories of the future that can meet different obstacles.  ...  proffer data for a frequent assessment with the help of Big Data Analytics.  ... 
doi:10.22034/2019.3.4 doaj:4df9cac02cc24029bba00f184239beaa fatcat:acusah5iwnh4tlgnneavgkpgty

DESIGN OF READINESS MODEL FOR INDUSTRY 4.0 IMPLEMENTATION IN INDIAN ENGINEERING INDUSTRIES

Michael Sony
2021 Zenodo  
DESIGN OF READINESS MODEL FOR INDUSTRY 4.0 IMPLEMENTATION IN INDIAN ENGINEERING INDUSTRIES: DSc Thesis  ...  In addition, the author thanks Mr Davis Thomas, independent quality consultant in shipping Industry for his analysis and insights.  ...  Acknowledgments We thank the anonymous reviewers for the constructive suggestion, which has helped us immensely to revise the paper and improve its quality.  ... 
doi:10.5281/zenodo.5148191 fatcat:tjqyh7rodzcdbljxr7xbve4ybu

The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review

Baudouin Dafflon, Nejib Moalla, Yacine Ouzrout
2021 The International Journal of Advanced Manufacturing Technology  
AbstractThis work aims to review literature related to the latest cyber-physical systems (CPS) for manufacturing in the revolutionary Industry 4.0 for a comprehensive understanding of the challenges, approaches  ...  Then, we reviewed different studies through a number of synthesized matrices to narrate the challenges, approaches, and used techniques as the key-enablers of the CPS for manufacturing in Industry 4.0.  ...  Material preparation, data collection, and analysis were performed by Baudouin Dafflon, Nejib Moalla, and Yacine Ouzrout.  ... 
doi:10.1007/s00170-020-06572-4 fatcat:2qo42mk4mjhcricvb6bpy7jizi

A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0

Javaid Butt
2020 Designs  
Industry 4.0 (also referred to as digitization of manufacturing) is characterized by cyber physical systems, automation, and data exchange.  ...  It also provides a strategic roadmap for the implementation of Industry 4.0, based on lean six sigma approaches.  ...  Sadik and Urban [89] proposed a distributed control solution combining an ontology-based multi-agent system and a business rule management system for co-operative manufacturing.  ... 
doi:10.3390/designs4020011 fatcat:reywlbflerajlbyyctpzixe5qu
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