EconPapers    
Economics at your fingertips  
 

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

Madjid Tavana (), Tobias Schoenherr (), Yang Cheng (), Ajay Kumar () and Eric W. T. Ngai
Additional contact information
Madjid Tavana: La Salle University [Philadelphia], UPB - Universität Paderborn
Tobias Schoenherr: Michigan State University [East Lansing] - Michigan State University System
Yang Cheng: AAU - Aalborg University
Ajay Kumar: EM - EMLyon Business School
Eric W. T. Ngai: POLYU - The Hong Kong Polytechnic University [Hong Kong]

Post-Print from HAL

Abstract: 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 & Cárdenas-Rubio, 2024). The main focus of this technological evolution is on forming a smarter society, consisting of a system of interconnected smart industries resident on a high level of human–computer interaction to make informed and efficient decisions in human-centric digital manufacturing (Shankar & Gupta, 2024). While the digital technologies used in the Industry 5.0 era may be the same as in Industry 4.0, Industry 5.0 enhances these technologies for the digital manufacturing process by integrating human critical thinking and creative abilities.

Keywords: Supply; chain (search for similar items in EconPapers)
Date: 2024-11-01
References: Add references at CitEc
Citations:

Published in Annals of Operations Research, 2024, 342 (2), pp.1041 - 1047. ⟨10.1007/s10479-024-06366-x⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05531913

DOI: 10.1007/s10479-024-06366-x

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2026-03-10
Handle: RePEc:hal:journl:hal-05531913