Integrating industry 4.0 technologies in defense manufacturing: Challenges, solutions, and potential opportunities

IF 2.3 Q2 COMPUTER SCIENCE, THEORY & METHODS
Array Pub Date : 2024-07-25 DOI:10.1016/j.array.2024.100358
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引用次数: 0

Abstract

This paper explores the challenges and potential solutions related to data collection, integration, processing, and utilization in defense manufacturing within the context of Industry 4.0. While Industry 4.0 envisions the integration of various technologies to achieve seamless operations in industries, the unique characteristics of defense manufacturing, such as stringent data limitations and security requirements, make direct translation challenging. Through a comprehensive review of academic literature, key themes were identified, including quality control, digitalization, cyber–physical aspects, sustainability, risk management, ownership of information, and security. Drawing from the reviewed publications, potential solutions were distilled into related approaches, such as data governance frameworks, data exchange standards, blockchain, additive manufacturing, transparent digital supply chains, and smart factories. These solutions present opportunities for the Australian defense manufacturing industry to overcome the identified challenges and leverage the benefits of Industry 4.0, including improved quality control, increased efficiency, enhanced security, and optimized supply chains. By embracing these opportunities, the defense manufacturing sector can successfully navigate the complexities of Industry 4.0 and realize its vision of seamless integration for continued growth and success.

将工业 4.0 技术融入国防制造业:挑战、解决方案和潜在机遇
本文探讨了在工业 4.0 背景下,国防制造业在数据收集、集成、处理和利用方面面临的挑战和潜在解决方案。虽然工业 4.0 的设想是整合各种技术以实现工业的无缝操作,但国防制造业的独特性,如严格的数据限制和安全要求,使得直接转换具有挑战性。通过对学术文献的全面审查,确定了关键主题,包括质量控制、数字化、网络物理方面、可持续性、风险管理、信息所有权和安全性。根据所查阅的文献,将潜在的解决方案提炼为相关方法,如数据治理框架、数据交换标准、区块链、增材制造、透明数字供应链和智能工厂。这些解决方案为澳大利亚国防制造业提供了机遇,使其能够克服已确定的挑战,并充分利用工业 4.0 的优势,包括改进质量控制、提高效率、增强安全性和优化供应链。抓住这些机遇,国防制造业就能成功驾驭工业 4.0 的复杂性,实现无缝集成的愿景,从而实现持续增长和成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Array
Array Computer Science-General Computer Science
CiteScore
4.40
自引率
0.00%
发文量
93
审稿时长
45 days
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