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Method for Capacity Planning of Changeable Production Systems in the Electric Drives Production

机译:电力生产中可变生产系统产能计划的方法

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Market growth and technological uncertainties characterize the electro-mobility. High emission standards, fossil fuel scarcity, environmental protection, and political initiatives promote this development. Besides, factors such as customer behavior, infrastructure, new competitors, and technological developments induce high volatility in forecasted market volumes. Due to these uncertainties, production systems of electrified vehicles require a combination of changeable production systems and flexibility measures. The production capacity of changeable production systems is currently determined by a conventional capacity planning method, which does not integrate the degrees of freedom conferred by changeability. In this publication, we present a new capacity planning method of changeable production systems in electro-mobility. Changeability comprises pre-defined measures that change either the capacity or the technological spectrum of productions by an investment. A total of five changeability drivers exist, thereof we consider scalability and universality. Scalability in this context refers to the technical, local, and personnel possibilities to expand and reduce factory elements and production systems. Universality focuses on technological production properties, in particular, the ability to meet different production and technology requirements. We define specific changeability options for both drivers. Moreover, we integrate these in production capacity planning, which leads to various production configurations. Additionally, we evaluate the monetary impact and the resulting flexibility of each configuration at any time within the observation period using the real options approach. We choose this approach to integrate market uncertainties in the decision- making process. Further, a Monte Carlo simulation validates all configurations showing positive option values, and we determine a final capacity plan. We apply the method to a production system for electric drives. Our results show that an early investment in scalability and universality options improve the financial performance and flexibility of a production system in an uncertain market environment.
机译:市场增长和技术不确定性是电动汽车的特征。高排放标准,化石燃料稀缺,环境保护和政治举措促进了这一发展。此外,诸如客户行为,基础设施,新竞争者和技术发展等因素也会导致预测市场量的大幅波动。由于这些不确定性,电动车辆的生产系统需要结合可变的生产系统和灵活性措施。当前,可变的生产系统的生产能力是通过常规的产能计划方法确定的,该方法不整合可变性赋予的自由度。在本出版物中,我们提出了一种电动汽车可变生产系统的新产能计划方法。可变性包括通过投资改变生产能力或技术范围的预定义措施。总共存在五个可变性驱动程序,其中我们考虑了可伸缩性和通用性。在本文中,可伸缩性是指技术,本地和人员扩展和减少工厂要素和生产系统的可能性。普遍性侧重于技术生产特性,特别是满足不同生产和技术要求的能力。我们为两个驱动程序定义了特定的可更改性选项。此外,我们将这些集成到生产能力计划中,从而导致各种生产配置。此外,我们使用实物期权方法在观察期内的任何时间评估货币配置的财务影响以及由此产生的灵活性。我们选择这种方法将市场不确定性纳入决策过程。此外,蒙特卡洛模拟会验证显示正选项值的所有配置,并确定最终的产能计划。我们将该方法应用于电力驱动的生产系统。我们的结果表明,在不确定的市场环境中,对可伸缩性和通用性选项的早期投资可改善生产系统的财务绩效和灵活性。

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