Modelling risks in transition from Industry 4.0 to Industry 5.0

Shankar, Ravi; Gupta, Laxmi

doi:10.1007/s10479-024-06055-9

Ann Oper Res

2024

DOI: 10.1007/s10479-024-06055-9

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Modelling risks in transition from Industry 4.0 to Industry 5.0

Ravi Shankar,

Laxmi Gupta

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Cited by 3 publications

References 69 publications

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Digital operations research models for intelligent machines (industry 4.0) and man-machine (industry 5.0) systems

Tavana,

Schoenherr,

Cheng

et al. 2024

Ann Oper Res

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Digital technologies have the potential to enhance organizational production and operations management strategies. With the help of technologies, operations and end-to-end value chain processes can be optimized in real-time, synthesizing customer experience with operational fulfillment through automation, advanced analytics, artificial intelligence (AI), blockchain technology, and augmented reality, among other technologies. The demand for these technologies, particularly within the realm of advanced demand planning and supply chain optimization, has emerged significantly over the last several years, creating opportunities to enhance optimization and improve real-time network efficiency in supply chain networks, enabled by insights through advanced analytics. Whereas the processes of Industry 4.0 are primarily driven by digitalization, the next wave of operations research must address how to take these advanced capabilities inherent to Industry 4.0, extend them from optimized digital automation, and combine them with human-centered touchpoints. This paradigm shift or transformation has been called the fifth Industrial Revolution or Industry 5.0 (Grybauskas B Madjid Tavana

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Digital operations research models for intelligent machines (industry 4.0) and man-machine (industry 5.0) systems

Tavana,

Schoenherr,

Cheng

et al. 2024

Ann Oper Res

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show abstract

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Modelling risks in transition from Industry 4.0 to Industry 5.0

Cited by 3 publications

References 69 publications

Digital operations research models for intelligent machines (industry 4.0) and man-machine (industry 5.0) systems

Digital operations research models for intelligent machines (industry 4.0) and man-machine (industry 5.0) systems

An integrated approach for modelling barriers of EVsCI

Extended material requirement planning (MRP) within a hybrid energy-enabled smart production system

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