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International Journal of Production Research Volume 58, 2020 - Issue 16
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Articles

Towards data-driven approaches in manufacturing: an architecture to collect sequences of operations

Ashfaq FarooquiDepartment of Electrical Engineering, Chalmers University of Technology, Göteborg, SwedenCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1559-7896View further author information
ORCID Icon,
Kristofer BengtssonDepartment of Electrical Engineering, Chalmers University of Technology, Göteborg, SwedenORCID Iconhttps://orcid.org/0000-0002-5290-682XView further author information
ORCID Icon,
Petter FalkmanDepartment of Electrical Engineering, Chalmers University of Technology, Göteborg, SwedenView further author information
&
Martin FabianDepartment of Electrical Engineering, Chalmers University of Technology, Göteborg, SwedenView further author information
Pages 4947-4963 | Received 12 Feb 2019, Accepted 29 Jan 2020, Published online: 09 Mar 2020

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Chen Chen, Tiong Lee Kong & Wu Kan. (2023) Identifying the promising production planning and scheduling method for manufacturing in Industry 4.0: a literature review. Production & Manufacturing Research 11:1.
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Zhuming Bi, Yan Jin, Paul Maropoulos, Wen-Jun Zhang & Lihui Wang. (2023) Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM). International Journal of Production Research 61:12, pages 4004-4021.
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Riccardo Aldrighetti, Daria Battini, Ajay Das & Marco Simonetto. (2023) The performance impact of Industry 4.0 technologies on closed-loop supply chains: insights from an Italy based survey. International Journal of Production Research 61:9, pages 3004-3029.
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Rossella Pozzi, Violetta Giada Cannas & Maria Pia Ciano. (2022) Linking data science to lean production: a model to support lean practices. International Journal of Production Research 60:22, pages 6866-6887.
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Saumyaranjan Sahoo. (2022) Big data analytics in manufacturing: a bibliometric analysis of research in the field of business management. International Journal of Production Research 60:22, pages 6793-6821.
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Siamak Khayyati & Barış Tan. (2022) A machine learning approach for implementing data-driven production control policies. International Journal of Production Research 60:10, pages 3107-3128.
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Foivos Psarommatis, João Sousa, João Pedro Mendonça & Dimitris Kiritsis. (2022) Zero-defect manufacturing the approach for higher manufacturing sustainability in the era of industry 4.0: a position paper. International Journal of Production Research 60:1, pages 73-91.
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Marlene Kuhn & Jörg Franke. (2021) Data continuity and traceability in complex manufacturing systems: a graph-based modeling approach. International Journal of Computer Integrated Manufacturing 34:5, pages 549-566.
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Articles from other publishers (14)

Amir Ghasemi, Fatemeh Farajzadeh, Cathal Heavey, John Fowler & Chrissoleon T. Papadopoulos. (2024) Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap. Journal of Industrial Information Integration 39, pages 100599.
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Roberto González-Velázquez, Izaskun Fernández, Rubén Ferreira, Carlos Carballo, Álvaro García, Bruno Santamaría & Diego González. (2024) Smart Factory Hub – Towards a Data Mesh in Smart Manufacturing. Procedia Computer Science 232, pages 2709-2719.
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Miroslav Žilka, Zeynep Tugce Kalender, Jan Lhota, Václav Kalina & Rui Pinto. (2024) Tools to support managerial decision - building competencies in data driven decision making in manufacturing SMEs. Procedia Computer Science 232, pages 416-425.
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A. A. Kutin, M. B. Kliuev, A. S. Asaev, N. V. Averin & N. Yu. Kravchenko. (2023) Global Trends in the Machine Tool Industry. Russian Engineering Research 43:9, pages 1112-1118.
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Chiara Acciarini, Francesco Cappa, Paolo Boccardelli & Raffaele Oriani. (2023) How can organizations leverage big data to innovate their business models? A systematic literature review. Technovation 123, pages 102713.
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Chun-Ho Wu, Stephen Chi-Hung Ng, Keith Chun-Man Kwok & Kai-Leung Yung. (2023) Applying Industrial Internet of Things Analytics to Manufacturing. Machines 11:4, pages 448.
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Baiwei Zhao & Xun Han. 2023. Intelligent Robotics. Intelligent Robotics 425 437 .
Midhun Xavier, Victor Dubinin, Sandeep Patil & Valeriy Vyatkin. (2022) Process mining in industrial control systems. Process mining in industrial control systems.
Xiong Zhao, Lianyu Zheng, Yahui Wang & Yuehong Zhang. (2022) Services-oriented intelligent milling for thin-walled parts based on time-varying information model of machining system. International Journal of Mechanical Sciences 219, pages 107125.
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Marlene Kuhn, Erik Thomas Kaminski & Jörg Franke. (2022) Track and Trace: Integrating static and dynamic data in a hybrid graph-based traceability model. Procedia CIRP 112, pages 250-255.
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Foivos Psarommatis, Paul Arthur Dreyfus & Dimitris Kiritsis. 2022. Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology. Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology 243 275 .
Antonella Petrillo & Fabio De Felice. 2022. Handbook of Smart Materials, Technologies, and Devices. Handbook of Smart Materials, Technologies, and Devices 23 45 .
L Juhász & L Pokorádi. (2021) Industry 4.0 and Modern Maintenance in Today’s Hungarian Vehicle Industry. Journal of Physics: Conference Series 1935:1, pages 012008.
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Antonella Petrillo & Fabio De Felice. 2020. Handbook of Smart Materials, Technologies, and Devices. Handbook of Smart Materials, Technologies, and Devices 1 23 .

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