利用图论方法管理工业 4.0 可持续制造的设计原则:电气设备制造业案例研究

Mehayrun Nesa Shupti , Niamat Ullah Ibne Hossain , Steven A Fazio , Jahid Hasan Ashik
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摘要

在当今竞争激烈的市场中,分析设计原则和供应链的可持续性对于企业的成功至关重要。评估一个组织的供应链设计原则和生产可持续性的过程需要结合各种信息来源,而这些信息来源通常具有不确定性、不完整性和主观性。特别是当不同组织面临缺乏互操作性、分散化、虚拟化、实时性和能力、服务导向等重要原则时。本文试图利用图论和矩阵方法(GTMA),通过考虑工业 4.0 的业务,以供应链中的卓越运营、增长和可持续性为重点,分析设计原则相关因素之间的相互作用。我们将电气设备制造业工业 4.0 作为试验场。根据文献综述和专家意见,我们确定了几个关键原则,然后利用图论和矩阵方法探讨了其中最重要的原则。研究结果表明,自主性被认为是在工业 4.0 背景下最有效地管理可持续制造设计原则的最大挑战。因此,组织必须加强能够独立运行和决策的自主系统,而不依赖外部指令或支持,以实现可持续发展。本文对这一原则和其他已确定的实现企业供应链可持续性的原则进行了排序。这些发现对管理人与流程之间互动的管理人员和决策者,以及基于工业 4.0 的供应链组织中的企业可持续发展管理都很有用。本文的独特贡献有助于改进设计原则和新兴经济体工业 4.0 的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging graph theory approach for managing design principles for sustainable manufacturing of industry 4.0: A case study of electrical equipment manufacturing industry

Analyzing design principles and supply chain sustainability are critical for organizational success in today's competitive marketplace. The process of evaluating an organization's supply chain design principles and manufacturing sustainability entails incorporating various sources of information, which are typically uncertain, incomplete, and subjective in nature. Particularly when various organizations are confronted with significant principles such as a lack of interoperability, decentralization, virtualization, real-time and capabilities, service orientation, and so on. Using graph theory and a matrix approach (GTMA), this article attempts to analyze the interaction between design principles-related factors with a focus on operational excellence, growth and sustainability in supply chains by considering the business of Industry 4.0. We have considered electrical equipment manufacturing Industry 4.0 as test ground. Based on a literature review and expert opinions, we identified several key principles, and then explored the most significant one using graph theory and a matrix approach. The findings indicate that autonomy has been evaluated as the most significant challenge to manage design principles most effectively for sustainable manufacturing in the Industry 4.0 context. Therefore, organizations must enhance autonomous systems capable of operating and making decisions alone, without relying on external instructions or support, in order to achieve sustainability. This and the other identified principles to achieving corporate supply chain sustainability are ranked in this paper. These findings will be useful for managers and policymakers managing the interaction between people and processes, as well as corporate sustainability management in Industry 4.0-based supply chain organizations. The unique contributions of this paper can aid in the improvement of design principles and the sustainability of emerging economies' Industry 4.0 perspectives.

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