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An Entropy-Based Formulation for the Support of Sustainable Mass Customization 4.0

机译:基于熵的公式,用于支持可持续的大规模定制 4.0

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摘要

Industry 4.0, an information and communication umbrella of terms that includes the Internet of Things (IoT) and cyber-physical systems, aims to ensure the future of the manufacturing industry competing in a proper environment of mass customization: demand for short delivery time, high quality, and small-lot products. Within this context of an Industry 4.0 mass customization environment, success depends on its sustainability, where the latter can only be achieved by the manufacturing efficiency of the smart factory-based Industry 4.0 transforming processes. Even though Industry 4.0 is associated with an optimal resource and energy productivity/efficiency, it becomes necessary to answer if the integration of Industry 4.0 elements (like CPS) has a favorable sustainability payoff. This requires performing energy consumption what-if analyses. The original contribution of this paper is the use of the entropy-based formulation as an alternative way of performing the initial steps of the energy consumption what-if analyses. The usefulness of the proposed approach is demonstrated by comparing the results of a discrete-event simulation model of mass customization 4.0 environment and the values obtained by using the entropy-based formulation. The obtained results suggest that the entropy-based formulation acts as a fairly good trend indicator of the system's performance parameters increase/decrease. The managerial implications of these findings are presented at the end of this document.
机译:工业 4.0 是一个信息和通信术语的总括,包括物联网 (IoT) 和网络物理系统,旨在确保制造业的未来在大规模定制的适当环境中竞争:对短交货时间、高质量和小批量产品的需求。在工业 4.0 大规模定制环境的背景下,成功取决于其可持续性,而后者只能通过基于智能工厂的工业 4.0 转型流程的制造效率来实现。尽管工业 4.0 与最佳资源和能源生产力/效率相关,但有必要回答工业 4.0 元素(如 CPS)的整合是否具有有利的可持续性回报。这需要执行能耗假设分析。本文的原始贡献是使用基于熵的公式作为执行能耗假设分析初始步骤的替代方法。通过比较大规模定制4.0环境的离散事件仿真模型的结果和基于熵的公式得到的值,证明了所提方法的实用性。结果表明,基于熵的公式是系统性能参数增加/减少的较好的趋势指标。本文件末尾介绍了这些调查结果对管理的影响。

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