电力驱动生产中可变生产系统的产能规划方法

J. Niemann, A. Schlegel, M. Putz
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摘要

市场增长和技术不确定性是电动汽车的特点。高排放标准、化石燃料短缺、环境保护和政治举措推动了这一发展。此外,客户行为、基础设施、新竞争对手和技术发展等因素导致预测市场容量的高波动性。由于这些不确定性,电动汽车生产系统需要多变的生产系统和灵活的措施相结合。可变生产系统的生产能力目前是由传统的产能规划方法来确定的,这种方法没有综合考虑可变性所赋予的自由度。在本文中,我们提出了一种新的电动汽车可变生产系统的产能规划方法。可变性包括通过投资改变生产能力或技术范围的预先定义的措施。总共存在五种可变性驱动因素,其中我们考虑可伸缩性和通用性。可扩展性在这里指的是技术、本地和人员的可能性,以扩大和减少工厂元素和生产系统。普遍性侧重于技术生产属性,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变性选项。此外,我们将这些整合到生产能力规划中,从而导致各种生产配置。此外,我们使用实物期权方法评估了在观察期内任何时间每种配置的货币影响和由此产生的灵活性。我们选择这种方法是为了在决策过程中整合市场的不确定性。此外,蒙特卡罗模拟验证了显示正选项值的所有配置,并确定了最终的容量计划。我们将该方法应用于一个电力驱动的生产系统。我们的研究结果表明,在不确定的市场环境下,早期投资于可扩展性和通用性选项可以提高生产系统的财务绩效和灵活性。
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Method for Capacity Planning of Changeable Production Systems in the Electric Drives Production
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.
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