Industry 4.0: Opportunities and Challenges for Operations Management
By Tava Lennon Olsen, Brian Tomlin. Manufacturing & Service Operations Management, 2019
518 citations recorded by the source corpus.
Industry 4.0 connotes a new industrial revolution centered around cyber-physical systems. It posits that the real-time connection of physical and digital systems, along with new enabling technologies, will change the way that work is done and therefore, how work should be managed. It has the potential to break, or at least change, the traditional operations trade-offs among the competitive priorities of cost, flexibility, speed, and quality. This article describes the technologies inherent in Industry 4.0 and the opportunities and challenges for research in this area. The focus is on goods-producing industries, which includes both the manufacturing and agricultural sectors. Specific technologies discussed include additive manufacturing, the internet of things, blockchain, advanced robotics, and artificial intelligence.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/12ca6ac4829605f4bc3206887759cddbb8c1ef6d
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In Industrial and Manufacturing Engineering
Citations in the corpus
- The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives (2022, background): “While Industry 4.0 took on a technology-centred approach (Olsen and Tomlin 2020, Ivanov et al. 2021, Zheng et al. 2021), Industry 5.0 triangulates and consolidates resilience, sustainability, and human-centricity as key components of the value-creation systems supported by advanced technology.”
- Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024, unknown): “Since AI and GAI in particular form integral parts of the Industry 4.0 concept (Olsen and Tomlin 2020), we maintain that the areas identified by Ivanov et al. (2021) retain their validity and applicability within the AI and GAI context.”
- Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management (2020, unknown): “Recent works (Ivanov et al. 2019, Tang and Veelenturf, 2019, Olsen and Tomlin, 2020; Calzavara et al., 2020) showed that, within the I4.”
- Blockchain Adoption for Combating Deceptive Counterfeits (2018, background): “There are several survey papers that present background and research opportunity for blockchain (e.g., Babich and Hilary 2020, Hastig and Sodhi 2020, Kumar et al. 2018, Olsen and Tomlin 2020).”