Production (economics)
Related papers: 20
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Production, in the economic sense, refers to the process of transforming inputs—labor, capital, materials, and energy—into goods or services of greater value. In robotics and AI, production systems are a primary application domain, encompassing automated manufacturing, computer-integrated manufacturing, and increasingly intelligent Industry 4.0 and 5.0 environments where autonomous robots, machine learning, and real-time sensing are deeply embedded in workflows. Collaborative robots (cobots), autonomous mobile robots for intralogistics, AI-driven quality control, and digital fabrication tools are all deployed to increase throughput, reduce costs, improve flexibility, and respond dynamically to shifting demand. These technologies span sectors from pharmaceuticals and food processing to agriculture and construction. Production matters as a research focus because it sits at the intersection of economic competitiveness, labor dynamics, and sustainability—robot adoption reshapes workforce composition, energy consumption, and supply chain resilience globally. Understanding how AI and robotics integrate into production systems helps engineers design more efficient factories and informs policy decisions around automation's broader societal impacts.
Top Researchers
Top Cited Papers
Literature review of Industry 4.0 and related technologies
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Citations: 2083 • 2018
Automation, Production Systems, and Computer-Integrated Manufacturing,
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Sheshadri Chatterjee, Nripendra P. Rana, Yogesh K. Dwivedi, Abdullah M. Baabdullah
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Productivity of digital fabrication in construction: Cost and time analysis of a robotically built wall
Borja García de Soto, Isolda Agustí-Juan, Jens Hunhevicz, Samuel Joss, Konrad Graser, Guillaume Habert, Bryan T. Adey
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Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics
Giuseppe Fragapane, Dmitry Ivanov, Mirco Peron, Fabio Sgarbossa, Jan Ola Strandhagen
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Flexibility as a Manufacturing Objective
Nigel Slack
Citations: 427 • 1983
Environmental Impacts of Surgical Procedures: Life Cycle Assessment of Hysterectomy in the United States
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Industry 4.0 for pharmaceutical manufacturing: Preparing for the smart factories of the future
Nilou Arden, Adam C. Fisher, Katherine M. Tyner, Lawrence X. Yu, Sau L. Lee, Michael Kopcha
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Competing with Robots: Firm-Level Evidence from France
Daron Acemoğlu, Claire Lelarge, Pascual Restrepo
Citations: 359 • 2020
Automation, production systems, and computer-integrated manufacturing
Mikell P. Groover
Citations: 323 • 2008
Smart Animal Agriculture: Application of Real-Time Sensors to Improve Animal Well-Being and Production
I. Halachmi, M. Guarino, J.M. Bewley, Matti Pastell
Citations: 319 • 2018
Is Industry 5.0 a Human-Centred Approach? A Systematic Review
Joel Alves, Tânia M. Lima, Pedro Dinis Gaspar
Citations: 319 • 2023
Human–robot interaction in agriculture: A survey and current challenges
Juan Pablo Vásconez, George Kantor, Fernando Auat Cheein
Citations: 303 • 2019
The impact of artificial intelligence on labor productivity
Giacomo Damioli, Vincent Van Roy, Dániel Vértesy
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Robots and humans – complements or substitutes?
Stephen J. DeCanio
Citations: 295 • 2016
Opportunities of Artificial Intelligence and Machine Learning in the Food Industry
Indrajeet Kumar, Jyoti Rawat, Noor Mohd, Shahnawaz Husain
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Application of digital technologies for ensuring agricultural productivity
Rambod Abiri, Nastaran Rizan, Siva K. Balasundram, Arash Bayat Shahbazi, Hazandy Abdul Hamid
Citations: 276 • 2023
Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture
María Teresa Linaza, Jorge Posada, Jürgen Bund, Peter Eisert, Marco Quartulli, Jürgen Döllner, Alain Pagani, Igor G. Olaizola, André Barriguinha, Theocharis Moysiadis, Laurent Lucat
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Grasping devices and methods in automated production processes
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Robotics and labour in agriculture. A context consideration
Vasso Marinoudi, Claus Aage Grøn Sørensen, Simon Pearson, Dionysis Bochtis
Citations: 263 • 2019