运营和物流管理中的量子启发计算技术

Miguel Núñez-Merino, Juan Manuel Maqueira-Marín, José Moyano-Fuentes, Carlos Alberto Castaño-Moraga
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引用次数: 0

摘要

本文旨在探索和传播量子启发计算技术在解决工业 4.0 制造和物流运营中运营敏捷能力所面临的复杂挑战方面的潜力。文献综述为确定工业 4.0 信息和数字技术带来的一系列灵活性和敏捷性运营能力的框架奠定了基础。研究结果表明,量子启发计算技术具有利用和提高公司运营灵活性的潜力,从而增强制造和物流运营管理的敏捷性,尤其是在工业 4.0 背景下。本研究探讨了量子启发计算技术在工业 4.0 运营管理中的应用,有助于了解量子启发计算技术在制造和物流运营中提高运营灵活性的潜力。
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Quantum-inspired computing technology in operations and logistics management

Purpose

The purpose of this paper is to explore and disseminate knowledge about quantum-inspired computing technology's potential to solve complex challenges faced by the operational agility capability in Industry 4.0 manufacturing and logistics operations.

Design/methodology/approach

A multi-case study approach is used to determine the impact of quantum-inspired computing technology in manufacturing and logistics processes from the supplier perspective. A literature review provides the basis for a framework to identify a set of flexibility and agility operational capabilities enabled by Industry 4.0 Information and Digital Technologies. The use cases are analyzed in depth, first individually and then jointly.

Findings

Study results suggest that quantum-inspired computing technology has the potential to harness and boost companies' operational flexibility to enhance operational agility in manufacturing and logistics operations management, particularly in the Industry 4.0 context. An exploratory model is proposed to explain the relationships between quantum-inspired computing technology and the deployment of operational agility capabilities.

Originality/value

This is study explores the use of quantum-inspired computing technology in Industry 4.0 operations management and contributes to understanding its potential to enable operational agility capability in manufacturing and logistics operations.

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来源期刊
CiteScore
11.20
自引率
10.40%
发文量
34
期刊介绍: IJPDLM seeks strategically focused, theoretically grounded, empirical and conceptual, quantitative and qualitative, rigorous and relevant, original research studies in logistics, physical distribution and supply chain management operations and associated strategic issues. Quantitatively oriented mathematical and modelling research papers are not suitable for IJPDLM. Desired topics include, but are not limited to: Customer service strategy Omni-channel and multi-channel distribution innovations Order processing and inventory management Implementation of supply chain processes Information and communication technology Sourcing and procurement Risk management and security Personnel recruitment and training Sustainability and environmental Collaboration and integration Global supply chain management and network complexity Information and knowledge management Legal, financial and public policy Retailing, channels and business-to-business management Organizational and human resource development Logistics and SCM education.
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