Identifying Quantum Computing Applications in the Study and Operation of Manufacturing Systems

This paper explores the potential application areas for Quantum Computing in solving numerical problems found in the design and operation of Manufacturing Systems. The paper identifes manufacturing system problems requiring substantial classical computational resource and ofers a quantum alternative. The paper then discusses the quantum hardware that the alternatives could be implemented on commenting on the suitability of today’s Noisy Intermediate Scale Quantum hardware options as well as developments likely to occur in the near-term. The most promising area identified was job scheduling where quantum alternatives exist that could be implemented on today’s Quantum Computing hardware. This is followed by facility layout and vehicle scheduling although further hardware/algorithm development is required. A quantum alternative for fault detection was also discussed however it is too early to be sure of the potential advantages.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.02.161
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Identifying Quantum Computing Applications in the Study and Operation of Manufacturing Systems

M. R. Valero, Oliver Schiffmann, James Gopsill, Max Ridley
Procedia CIRP
Scheduling and Optimization Algorithms
article

Identifying Quantum Computing Applications in the Study and Operation of Manufacturing Systems

M. R. Valero, Oliver Schiffmann, James Gopsill, Max Ridley
article en

Abstract

This paper explores the potential application areas for Quantum Computing in solving numerical problems found in the design and operation of Manufacturing Systems. The paper identifes manufacturing system problems requiring substantial classical computational resource and ofers a quantum alternative. The paper then discusses the quantum hardware that the alternatives could be implemented on commenting on the suitability of today’s Noisy Intermediate Scale Quantum hardware options as well as developments likely to occur in the near-term. The most promising area identified was job scheduling where quantum alternatives exist that could be implemented on today’s Quantum Computing hardware. This is followed by facility layout and vehicle scheduling although further hardware/algorithm development is required. A quantum alternative for fault detection was also discussed however it is too early to be sure of the potential advantages.

Procedia CIRPVol. 134
University of Bristol (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 81%
Scheduling and Optimization Algorithms
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