机械供应链中数据驱动的生产力提高

Q3 Engineering

International Journal of Mechatronics and Manufacturing Systems Pub Date : 2019-10-30 DOI:10.1504/ijmms.2019.103483

Rafael Lorenz, Torbjørn H. Netland, Philip Roh, Valentin Holzwarth, A. Kunz, K. Wegener

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引用次数: 0

摘要

现代制造机器配备了许多传感器，这些传感器收集大量的各种数据。这些数据可用于提高机器的生产率。机器的用户和供应商都可以从这些机会中受益。然而，由于机器用户面临知识产权损失的风险，他们通常不愿意分享自己的数据。这是机械供应链中数据共享的主要阻碍因素。本文提出了一种五步方法来初始化机器用户和他们的机器供应商之间的数据共享。该方法在一家案例公司中进行了测试和验证，并对机器用户的潜在利益进行了量化。

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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Data-driven productivity improvement in machinery supply chains

Modern manufacturing machines are equipped with numerous sensors that collect a large amount of various data. This data can be used to improve the machines' productivity. Both the users and suppliers of machines could benefit from such opportunities. However, because machine users risk the loss of intellectual property, they are often reluctant to share their data. This represents a major inhibitor of data sharing in machinery supply chains. This paper proposes a five-step method for initialising data sharing between machine users and their machine suppliers. The method was tested and validated in a case company, and the potential benefits for machine users were quantified.

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来源期刊

International Journal of Mechatronics and Manufacturing Systems Engineering-Industrial and Manufacturing Engineering

CiteScore

1.90

自引率

0.00%

发文量

期刊介绍： IJMMS publishes refereed quality papers in the broad field of mechatronics and manufacturing systems with a special emphasis on research and development in the modern engineering of advanced manufacturing processes and systems. IJMMS fosters information exchange and discussion on all aspects of mechatronics (computers, electrical and mechanical engineering) with applications in manufacturing processes and systems.