Migration planning of global production networks – methodological support for the determination of robust migration paths and risk-efficient enablers of change

全球生产网络的迁移规划——为确定稳健的迁移路径和风险有效的变革推动因素提供方法支持

• 批准号: 418891325
• 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: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/418891325?language=en
• 关键词: Migration; planning; global; production; networks

Today’s production networks are often the result of uncoordinated decisions and opportunistic developments over time. Hence, manufacturing companies very often produce in complex, inefficient and rigid networks lacking strategical focus. Simultaneously, modern globalization challenges companies with disruptive changes of the business environment as well as increasing competition and cost pressure. For this reason, manufacturing companies must migrate their historical grown production networks and, therefore, continuously adapt the network configuration to changing conditions.The objective of this proposal is the development of a model based methodology for migration planning of global production networks. Based on the formulation of a focused global production strategy, which has to support the competitive strategy of a company, migration paths of the network configuration have to be identified under consideration of volatile influencing factors of the business environment and an adequate level of changeability for network objects has to be created.To achieve this, objective mathematical models for modelling and optimization of the structure and objects of a global production network will be formalized. Firstly, a resource based network model that enables the formalization of different network configurations will be developed. Applying this model, configurations which operationalize a global production strategy will be derived. The resulting configurations will be integrated into a stochastic-dynamic optimization model in order to identify an optimal migration strategy/policy of the network configuration. Furthermore, drivers of change of the business environment will be parametrized and integrated as stochastic model parameters. Lastly, a stochastic decision model will be developed which enables the selection of risk-efficient enablers of change for the network objects to enable their pro-active preparation for each planning period in the planning horizon. The developed models will be tested and validated in case studies.

今天的生产网络往往是不协调的决策和随时间推移的机会主义发展的结果。因此，制造企业往往在缺乏战略重点的复杂、低效和僵化的网络中生产。与此同时，现代全球化给公司带来了商业环境的颠覆性变化，以及越来越大的竞争和成本压力。因此，制造企业必须迁移其历史上成长的生产网络，从而不断调整网络配置以适应不断变化的条件。本提案的目标是开发一种基于模型的全球生产网络迁移规划方法。在制定支持企业竞争战略的全球生产战略的基础上，必须考虑商业环境的不稳定影响因素，确定网络配置的迁移路径，并为网络对象创建足够的可变化性。为此，将形式化建模和优化全球生产网络结构和对象的客观数学模型。首先，将开发一个基于资源的网络模型，使不同的网络配置能够形式化。应用这一模型，将得出实施全球生产战略的配置。所得到的配置将被集成到随机-动态优化模型中，以便识别网络配置的最优迁移策略/策略。此外，商业环境变化的驱动因素将被参数化并整合为随机模型参数。最后，将开发一个随机决策模型，该模型能够为网络对象选择风险效率高的变革促进者，以使它们能够在规划范围内的每个规划阶段进行主动准备。所开发的模型将在案例研究中进行测试和验证。