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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >An Entropy-Based Formulation for Assessing the Complexity Level of a Mass Customization Industry 4.0 Environment
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An Entropy-Based Formulation for Assessing the Complexity Level of a Mass Customization Industry 4.0 Environment

机译：基于熵的公式，用于评估大规模定制工业 4.0 环境的复杂程度

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摘要

It has been stated that Industry 4.0's goal is, among others, the sustainable success in a market characterized by exigent and informed consumers demanding personalized products and services, where the level of manufacturing complexity increases with level of product customization. Even though different manufacturing complexity measures have been developed, there seems to be a lack of a comprehensive metric that address both the mass customization variety-induced complexity, and the complexity derived from the adoption of the Industry 4.0 paradigm. The main original contribution of this paper is the development of an entropy-based (entropic) formulation to address this last issue. Its validity and usefulness is put to the test via a discrete-event simulation study of a mass customization production system operating within an Industry 4.0 context. Our findings show that the entropic formulation acts as a fairly good trend indicator of the system's performance parameter increase/decrease, but not as an estimator of the final values. A discussion of the managerial implications of the obtained results is offered at the end of the paper.
机译：有人指出，工业 4.0 的目标是在以需求和知情的消费者要求个性化产品和服务为特征的市场中取得可持续的成功，其中制造复杂程度随着产品定制水平的增加而增加。尽管已经开发了不同的制造复杂性衡量标准，但似乎缺乏一个全面的指标来解决大规模定制品种引起的复杂性，以及采用工业 4.0 范式带来的复杂性。本文的主要原创贡献是开发了一种基于熵（熵）的公式来解决最后一个问题。通过对在工业 4.0 背景下运行的大规模定制生产系统的离散事件仿真研究，测试了它的有效性和实用性。我们的研究结果表明，熵公式可以作为系统性能参数增加/减少的相当好的趋势指标，但不能作为最终值的估计值。本文末尾讨论了所获得结果的管理影响。

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