Simulation to Enable a Data-Driven Circular Economy
Simulation to Enable a Data-Driven Circular Economy
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DOI：
10.3390/su11123379
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发表时间：
2019-06-02
期刊：
影响因子：
3.9
通讯作者：
Tiwari, Ashutosh
中科院分区：
文献类型：
--
作者：
Charnley, Fiona;Tiwari, Divya;Tiwari, Ashutosh
本文介绍了一项关于模拟如何通过第四次工业革命（I4.0）和物联网（IoT）等数字技术的最新进展来提供数字智能，以加速英国制造业实施更循环的方法的调查。通过本研究，再制造过程映射和模拟离散事件仿真（DES）描述决策过程在车间级的再制造设施。为了理解在再制造中使用数据的挑战，进行了一系列访谈，发现返回产品的状况存在显著的变化。为了解决这一差距，产品质量的确定性（CPQ）的概念，并通过系统动力学（SD）和DES模型进行测试，以更好地了解CPQ对等待再制造的产品的影响，包括检查，清洁和拆卸时间。CPQ的广泛应用可用于预测再制造和生产过程，通过使用自动化的检测过程降低成本，从而更详细地区分再制造的成功与否。在循环经济的背景下，CPQ可以被复制，以评估在产品生命周期的干预措施，从而确定最佳的CE战略和干预时间的产品的当前生命周期，即何时升级，重新制造或回收。这项研究的新奇在于调查模拟的应用，通过透镜的恢复性循环经济模型，专注于产品寿命延长和其适用性在一个特定的点，在产品的生命周期。
This paper presents an investigation on how simulation informed by the latest advances in digital technologies such as the 4th Industrial Revolution (I4.0) and the Internet of Things (IoT) can provide digital intelligence to accelerate the implementation of more circular approaches in UK manufacturing. Through this research, a remanufacturing process was mapped and simulated using discrete event simulation (DES) to depict the decision-making process at the shop-floor level of a remanufacturing facility. To understand the challenge of using data in remanufacturing, a series of interviews were conducted finding that there was a significant variability in the condition of the returned product. To address this gap, the concept of certainty of product quality (CPQ) was developed and tested through a system dynamics (SD) and DES model to better understand the effects of CPQ on products awaiting remanufacture, including inspection, cleaning and disassembly times. The wider application of CPQ could be used to forecast remanufacturing and production processes, resulting in reduced costs by using an automatised process for inspection, thus allowing more detailed distinction between go or no go for remanufacture. Within the context of a circular economy, CPQ could be replicated to assess interventions in the product lifecycle, and therefore the identification of the optimal CE strategy and the time of intervention for the current life of a product-that is, when to upgrade, refurbish, remanufacture or recycle. The novelty of this research lies in investigating the application of simulation through the lens of a restorative circular economic model focusing on product life extension and its suitability at a particular point in a product's life cycle.