Changeability of global production networks: an approach for multi-objective decision making

全球生产网络的可变性：多目标决策方法

• 批准号: 278666874
• 负责人: Professorin Dr.-Ing. Gisela Lanza
• 金额: --
• 依托单位: Institut für Produktionstechnik (WBK)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/278666874?language=en
• 关键词: Changeability; global; production; networks; approach

The goal of the proposed research project is to develop a model for the determination of need for change and timing of global production networks due to multidimensional uncertainty during a long-term planning horizon. This model has to integrate several objective criteria, such as total cost, delivery time, quality, sustainability etc. and to propose the best configuration of the global production network. Production in a global production network has to deal with various production steps, manifold manufacturing resources in different regions with different characteristics (such as wages, employee qualifications). Therefore the methodology must provide an appropriate detailing of the considered network objects which can be both historically grown or a planning of possible future alternatives. For the evaluation company-specific drivers and their trends over the planning horizon are relevant. Especially indirectly and directly measurable change drivers have to be considered. A major result of the method is the prediction of the point in time of a conversion of an existing network configuration into a future network configuration which fits better in the observed long-term planning horizon. Therefore the required need for change and the costs for migration have to be taken into account. Such optimization results can only be used as practical decision support if the results are presented in a transparent way. However, a comprehensive visualization of the results in the context of a statistical data base and a stochastic system behavior is crucial.

拟议研究项目的目标是开发一个模型，用于确定由于长期规划范围内的多维不确定性而导致的全球生产网络的变革和时机。该模型必须综合几个客观标准，如总成本、交货时间、质量、可持续性等，并提出全球生产网络的最佳配置。全球生产网络中的生产必须处理不同的生产步骤，不同地区的制造资源具有不同的特征（如工资，员工资格）。因此，该方法必须提供所考虑的网络对象的适当详细说明，这些对象可以是历史上增长的，也可以是未来可能的替代方案的规划。就评价而言，具体公司的驱动因素及其在规划期间的趋势是相关的。特别是必须考虑间接和直接可衡量的变化驱动因素。该方法的一个主要结果是预测现有网络配置转换为未来网络配置的时间点，该未来网络配置更好地适应所观察到的长期规划范围。因此，必须考虑到变革的必要性和迁移的成本。如果结果以透明的方式呈现，这样的优化结果只能用作实际的决策支持。然而，在统计数据库和随机系统行为的背景下对结果进行全面的可视化至关重要。